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Author SHA1 Message Date
Matt PocockandClaude Opus 4.8 fa460cbf09 prototype: drop the vestigial "let it go"
Rule 4 is about skipping polish, not the prototype's fate; the trailing
"then let it go" was a leftover from the old delete-it framing and now
misreads as discard, contradicting capture-as-primary-source. Cut it,
and rename LOGIC step 7 off "let go".

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-10 11:35:29 +01:00
Matt PocockandClaude Opus 4.8 0375c88bfb prototype: collapse the when-done section into rule 6
The "keep it as a primary source" section restated rule 6 and was
padded with no-ops. Fold the one extra bit (capture the answer) into
rule 6 and delete the section: capture the prototype as a primary
source on a throwaway branch, pointer on the issue.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-10 09:49:44 +01:00
Matt PocockandClaude Opus 4.8 371b9c9c94 prototype: capture the prototype, don't dispose of it
Reframe the artifact handling as capturing the prototype somewhere out
of main — a throwaway branch — with a context pointer to it left on the
implementation issue, instead of "disposing" of it. The main branch
still keeps only the validated decision.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-10 09:39:52 +01:00
Matt PocockandClaude Opus 4.8 cdec9f6eb2 prototype: simplify to single primary-source idea; dedup branch files
Drop the secondary-source label — the actionable distinction is just
that the prototype is a primary source to retain on a throwaway branch.
Collapse the re-descriptions in LOGIC/UI so they point to SKILL for the
disposal concept and add only branch-specific nuance.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-09 14:57:48 +01:00
Matt PocockandClaude Opus 4.8 d6274600ab prototype: reframe disposal around primary vs secondary source
Retain the prototype as a primary source on a throwaway branch linked
from the relevant issue, rather than deleting it, while the distilled
answer remains the secondary source. Keeps prototype scaffolding out of
the main branch without destroying the runnable evidence.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-09 14:53:43 +01:00
Matt PocockandGitHub d574778f94 Merge pull request #353 from mattpocock/changeset-release/main
chore: version skills
2026-07-08 14:20:40 +01:00
github-actions[bot] 47845ac1e1 chore: version skills 2026-07-08 13:20:09 +00:00
Matt PocockandGitHub cc1e24891d Merge pull request #464 from mattpocock/release/v1.1
v1.1: planning-skills unification (breaking) + wayfinder graduation
2026-07-08 14:19:46 +01:00
Matt PocockandClaude Opus 4.8 d6e21b661d docs: list implement in the README's engineering user-invoked skills
implement is the central Main Flow step but was missing from the
public Reference list. Add it after to-tickets.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-08 14:18:36 +01:00
Matt PocockandClaude Opus 4.8 0557d57579 docs: settle wayfinder as a situational on-ramp, not the main entry flow
The grill-led idea→ship chain stays the documented front door; wayfinder
is a situational on-ramp (greenfield / huge feature build), reserving
"new default spine" for a potential v2.

- ask-matt router: name wayfinder's concrete triggers
- grill-me / grill-with-docs: signpost up to wayfinder as the
  too-big-for-one-session on-ramp

Resolves the main-flow decision on the Skills v1.1 wayfinder map (#120).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-08 14:18:36 +01:00
Matt PocockandClaude Opus 4.8 639df6e738 Graduate wayfinder to engineering; unify changesets for v1.1
Graduate `wayfinder` out of in-progress into the engineering bucket
(plugin.json, top-level + Engineering READMEs under User-invoked, docs
page, ask-matt on-ramp, disable-model-invocation).

Consolidate the 22 pending changesets into 10 coherent v1.1 entries:
one `wayfinder` (rename from decision-mapping + full reframe +
graduation), one `grilling`, one `code-review`, one `tdd`; fold the
superseded to-issues changeset into unify-to-tickets and drop its stray
`</content>` tag. Highest bump is minor → 1.0.1 becomes 1.1.0.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-08 14:18:36 +01:00
Matt PocockandClaude Opus 4.8 d29732e49f refactor(to-tickets): cut the two-readings explainer from SKILL.md
It documented what the skill does rather than steering the agent — the
publish mechanics it described are already Step 5's instructions, and the
conceptual framing already lives in ask-matt and the docs page.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-08 14:18:36 +01:00
Matt PocockandClaude Opus 4.8 09a72ba465 refactor(to-tickets): prune no-ops from the two-readings intro
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-08 14:18:36 +01:00
Matt PocockandClaude Opus 4.8 386d4ff719 refactor: unify planning skills into /to-spec + /to-tickets
Executes the `unify-to-tickets` decision (personal-wiki #23), reworking
this PR from "add /to-plan" into the full planning-skills unification.

- Rename /to-prd → /to-spec. "spec" is now the single through-line term
  (the skill still opens with "you may know this document as a PRD" for
  discoverability).
- Merge /to-plan + /to-issues into one /to-tickets skill; delete
  /to-issues. /to-tickets emits a set of tickets, each declaring its
  blocking edges — one medium-agnostic artifact that reads as a
  sequential plan (local `tickets.md`, edges as text) or a parallelizable
  DAG (real tracker, native blocking links). The edges live in the ticket
  either way; the medium only decides whether anything acts on them in
  parallel.
- ask-matt now routes idea → /to-spec → /to-tickets → /implement.
- Sweep every cross-reference (docs pages, chain diagrams, CONTEXT.md,
  ADRs, .agents, setup templates) to the new names and vocabulary.
- Rewrite the changeset to describe the unification.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-08 14:18:36 +01:00
Matt PocockandClaude Opus 4.8 c5a4a8c2e9 refactor(to-plan,to-issues): prune no-ops in vertical-slice framing
Fold the redundant 'thin vertical slice cuts through all layers, NOT
horizontal' intro sentence into vertical-slice-rules bullet 1 (it was
duplicating the bullet), and cut to-plan's 'no parallelism / top-to-bottom'
restatement — 'sequential' is already anchored as the leading word. Keeps
the shared core identical across the two sibling skills.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-08 14:13:21 +01:00
Matt PocockandClaude Opus 4.8 93f73198e3 feat(to-plan): add sequential plan skill
Add a user-invoked `to-plan` skill — the sequential, HITL sibling of
`to-issues`. Both slice work into tracer-bullet vertical slices, but
`to-plan` produces one ordered sequence you drive by hand, one phase per
fresh context, rather than parallel independently-grabbable issues.

It publishes to the tracker `/setup-matt-pocock-skills` configured, shaped
to it: a single sequential `plan.md` for a local tracker, or a parent
issue with ordered sub-issues (native sub-issues where supported) for a
real one.

Registers the skill everywhere CLAUDE.md requires (plugin.json, top-level
and bucket READMEs, docs page), updates the `ask-matt` router's main-flow
fork to offer both to-issues and to-plan, and adds a changeset.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-08 14:11:05 +01:00
Matt PocockandGitHub 896f14d9c2 Merge pull request #472 from mattpocock/fix/wayfinder-tracker-indirection
fix(wayfinder): resolve issue-tracker doc via the CLAUDE.md pointer, not a hardcoded path
2026-07-08 11:18:12 +01:00
Matt PocockandClaude Opus 4.8 d869d45afc fix(wayfinder): resolve issue-tracker doc via the CLAUDE.md pointer, not a hardcoded path
Wayfinder pinned the literal docs/agents/issue-tracker.md, breaking the
indirection to-issues/to-prd/triage rely on: they resolve the tracker
through the ### Issue tracker block setup writes into CLAUDE.md / AGENTS.md.
In repos that keep agent docs elsewhere, wayfinder silently fell back to
local-markdown. It now follows the same pointer and reads the doc's
"Wayfinding operations" section by name.

Closes #471

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-08 11:17:29 +01:00
Matt PocockandGitHub 8515a080a7 Merge pull request #469 from mattpocock/to-issues/wide-refactor-expand-contract
to-issues: slice wide refactors by expand–contract
2026-07-07 16:37:10 +01:00
Matt PocockandClaude Opus 4.8 f219e66379 to-issues: wrap issue template in XML tags
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-07 16:35:57 +01:00
Matt PocockandClaude Opus 4.8 aa591116bf to-issues: split into Process + Reference tiers
Revert the description change and keep the wide-refactor material in
one place. Reshape the skill into a lean Process (steps) and a
Reference section holding the vertical-slice rules, the wide-refactor
expand–contract rules, and the issue body template as co-located
blocks the steps point to.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-07 16:35:39 +01:00
Matt PocockandClaude Opus 4.8 a0329ba957 to-issues: slice wide refactors by expand–contract
Add a wide-refactor exception to the tracer-bullet rule: a single
mechanical change whose blast radius fans across the codebase can't
land as one green vertical slice. Seed "wide refactor" / "blast radius"
across the description, the explore step (detection), and the drafting
step (strategy), and give the expand–contract sequence in prose.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-07 16:32:47 +01:00
Matt PocockandGitHub 16a2a5cd00 Merge pull request #461 from mattpocock/fix/wayfinder-self-grilling
wayfinder/grilling: stop the agent grilling itself
2026-07-06 14:01:24 +01:00
Matt PocockandClaude Opus 4.8 ce908a6220 Add changeset for the self-grilling fix
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 13:59:13 +01:00
Matt PocockandGitHub d05f2fb5b5 Merge pull request #463 from mattpocock/negative-space-prompting
writing-great-skills: add Negation failure mode
2026-07-06 13:58:22 +01:00
Matt PocockandClaude Opus 4.8 e5932a7a47 wayfinder/grilling: stop the agent grilling itself
Students reported /wayfinder picking a grilling ticket and grilling
itself instead of turning to the human (confirmed by @_noshit /
@maudova; Matt: "that sounds like a bug"). Root cause: a grilling line
written for the live-human case ("explore the codebase instead") reads
as license to answer questions autonomously once wayfinder runs it in a
resolve-the-ticket frame.

Fix with affirmative framing (no negative-space "don't"):
- grilling: split facts (look up) from decisions (put to the human, wait)
- wayfinder Grilling ticket type: a back-and-forth with the human, who
  answers each question
- wayfinder Invocation: grilling always runs with the human in the loop

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 13:57:47 +01:00
Matt PocockandClaude Opus 4.8 af6d6922c3 Drop Negative Space; keep Negation only
Negative Space read as clever but not actionable — "notice your
silences" is fuzzy legwork the agent can't reliably act on. Negation
stays: a checkable authoring failure with a positive-instruction cure.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 13:57:05 +01:00
Matt PocockandClaude Opus 4.8 30afefecc9 changeset for Negation and Negative Space failure modes
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 13:56:16 +01:00
Matt PocockandGitHub acf55d88b7 Merge pull request #462 from mattpocock/wayfinder/plan-not-execute
wayfinder: reassert planning-only purpose
2026-07-06 13:55:01 +01:00
Matt PocockandClaude Opus 4.8 0847bb31bc writing-great-skills: add Negation and Negative Space failure modes
Two adjacent Steering failure modes about how language you think of as
"off" still steers:

- Negation — a prohibition names the forbidden behaviour and makes it
  more available, not less (don't-think-of-an-elephant). Cure: prompt
  the positive.
- Negative Space — what you omit is delegated to the agent's priors,
  not left neutral. Cure: read a draft for what it's silent on and
  decide each omission deliberately.

Each carried as a full GLOSSARY entry plus a SKILL.md failure-mode
bullet, matching every other failure mode.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 13:54:46 +01:00
Matt PocockandClaude Opus 4.8 7be28cf5e6 wayfinder: planning by default, overridable via Notes; shrink section
Address review: don't preclude execution. Wayfinder is planning by
default, but an effort's Notes can carry execution into the map. Collapse
the section to one paragraph, revert the destination sentence to its
original (which already allowed an executed change), and drop the Task
cross-reference to match.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 13:53:59 +01:00
Matt PocockandClaude Opus 4.8 80f29a4f29 wayfinder: reassert planning-only purpose with a leading-word section
Add a "Plan, don't do" section as the single source of truth for the
plan/execute boundary, and bring two passages into line with it:

- Destination is always a set of resolved decisions, never the executed
  change itself (the migration example previously read as execution).
- The Task ticket type now earns its place only by unblocking a decision,
  pointing back to the new section rather than restating the principle.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 13:49:33 +01:00
Matt PocockandGitHub 5a7f7e5c2a Merge pull request #460 from mattpocock/wayfinder-no-fog-early-exit
wayfinder: restore no-fog early exit
2026-07-06 13:42:16 +01:00
Matt PocockandClaude Opus 4.8 9b43c3359b wayfinder: simpler no-fog wording — 'you don't need a map'
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 13:40:26 +01:00
Matt PocockandClaude Opus 4.8 ad99c73a2d wayfinder: reframe no-fog exit as too-small-for-a-map
Not "implement directly" — the point is the journey fits one session and
doesn't justify a map. Stop and ask the user how to proceed.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 13:38:59 +01:00
Matt PocockandClaude Opus 4.8 55511cea24 wayfinder: restore no-fog early exit
Bring back the "skip the map when there's no fog" branch that was
collateral-deleted with the Handoff section. Co-located in Chart the
map step 2, where the fog/no-fog outcome is determined: if breadth-first
grilling surfaces no fog, offer to skip the map and implement directly.
The offer (ask, don't auto-skip) is preserved from the original.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 13:36:44 +01:00
Matt PocockandGitHub d11147daaf Merge pull request #459 from mattpocock/to-issues-sub-issues-and-prototype
to-issues: prefer native sub-issues; reference /prototype code explicitly
2026-07-06 13:35:18 +01:00
Matt PocockandClaude Opus 4.8 0172e61e57 to-issues: prefer native sub-issues; reference /prototype code explicitly
Two minimal edits to the to-issues skill:

- The "What to build" template now points explicitly at the `/prototype`
  skill's code as the source of an inlined decision snippet, rather than
  gesturing at "a prototype".
- Publishing now prefers the tracker's native sub-issues (parent → slice)
  and native blocking edges (Blocked by) where supported — mechanics
  already documented in the issue-tracker doc — keeping the `## Parent`
  and `## Blocked by` body sections as the fallback.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 13:33:44 +01:00
Matt PocockandGitHub 66f92b61f5 Merge pull request #456 from mattpocock/wayfinder-deferred-section
wayfinder: split the map catch-all into Not yet specified / Out of scope
2026-07-05 18:37:09 +01:00
Matt PocockandClaude Opus 4.8 97dca07b64 Duplication pass: collapse restated out-of-scope mechanics
- Out of scope section: drop embedded 'however sharply you can see it'
  duplicate; the 'Scope, not sharpness, lands it here' punchline carries
  the claim once.
- Work-through step 5: delegate close+one-line mechanics to the Out of
  scope section via the 'rule it out of scope' leading phrase instead of
  restating them.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 17:48:56 +01:00
Matt PocockandClaude Opus 4.8 7d34a8dc38 Split fog and out-of-scope into separate explanatory sections
QA follow-up: the Fog of war section was teaching both concepts, which
muddies the leading word — fog should point only *toward* the
destination. Now Fog of war teaches only the not-yet-specified bucket
(with the two-way fog-or-ticket sharpness test restored), and a new
Out of scope section owns the scope axis: beyond the destination,
closed not graduating, kept out of Decisions so far.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 17:44:13 +01:00
Matt PocockandClaude Opus 4.8 3ea01314c1 Rename the two buckets to plain map headings: Not yet specified / Out of scope
Following review: the map-body headings a cold reader sees should be
self-evident without having read the skill, so drop the metaphor from
the headings — `## Not yet specified` (in-scope, unripe) and
`## Out of scope` (beyond the destination). Keep **fog of war** as the
leading word: it still titles the explanatory section and drives the
"clears the fog" / "graduate the fog" behavior in the prose.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 17:35:50 +01:00
Matt PocockandClaude Opus 4.8 299eb0c017 Give wayfinder a distinct Deferred section for beyond-destination work
Fog is the undiscovered frontier *toward* the destination — in scope,
just not yet sharp — so it graduates into tickets as the frontier
advances. Work ruled out of *this* effort's scope was being parked in
Fog too, where it read as takeable frontier (an unblocked, unclaimed
ticket is indistinguishable from a live one).

Add a dedicated `## Deferred` section for beyond-the-destination work:
it never graduates (the frontier stops at the destination) and returns
only as a fresh effort if the destination is redrawn. The "Fog or
ticket?" test becomes "Fog, ticket, or deferred?", gated on scope as
well as sharpness, and both charting and working-the-map now defer a
mis-scoped ticket (close it, one line in Deferred) rather than leaving
it on the frontier or logging it in Decisions so far.

Builds on #455 (destination as the leading word / destination fixes
scope).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 15:08:48 +01:00
Matt PocockandGitHub 4691566bbb Merge pull request #455 from mattpocock/wayfinder-destination-purpose
Reframe wayfinder around "destination" as the leading word
2026-07-05 15:03:18 +01:00
Matt PocockandClaude Opus 4.8 913a105881 Split charting triage into two grilling steps: destination, then frontier
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 15:02:39 +01:00
Matt PocockandClaude Opus 4.8 c808f64f92 Make triage step 1 breadth-first: fix scope, then find the frontier
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 15:00:34 +01:00
Matt PocockandClaude Opus 4.8 53c6219cd2 Reframe wayfinder around "destination" as the leading word
Wayfinding finds the way to a destination rather than building it. The
destination varies per effort and is named first, since it shapes every
ticket. Adds a Destination map-body field, makes it triage step 1, and
unifies the stray "goal" mentions onto "destination".

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 14:57:57 +01:00
Matt PocockandGitHub 272f99b225 Merge pull request #436 from mattpocock/wayfinder-assign-to-claim
wayfinder: claim by assigning the ticket, not a label
2026-07-03 11:37:11 +01:00
Matt PocockandClaude Opus 4.8 6f9e9956fd wayfinder: claim by assigning the ticket, not a label
A session now claims a ticket by assigning it to the dev driving the
map, rather than setting a `wayfinder:claimed` label. The assignee is
the claim; an open, unassigned ticket is unclaimed. Reads more naturally
in the tracker's own UI and frees the label vocabulary to
`wayfinder:<type>` alone.

Updates the GitHub and GitLab tracker-operations docs to the assignee
mechanism (`--add-assignee @me` / `--assignee @me`). The local-markdown
tracker keeps its `Status: claimed` line — a file store has no assignee.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 11:34:42 +01:00
Matt PocockandGitHub efa058a349 Merge pull request #435 from mattpocock/wayfinder-native-blocking-rationale
wayfinder: prefer native blocking, and say why
2026-07-03 10:44:51 +01:00
Matt PocockandClaude Opus 4.8 8c2a4c554a wayfinder: tighten blocking rule, update GH/GL templates
Concision pass on the blocking rule (fold the "wherever the tracker has
one" clause into the fallback sentence; drop restatements). Bring the
GitHub and GitLab issue-tracker templates up to the same standard: the
GitHub template now carries the native issue-dependencies recipe and
frontier query; the GitLab template names the native /blocked_by link
(Premium/Ultimate) with the body-convention fallback.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 10:42:56 +01:00
Matt PocockandClaude Opus 4.8 b289481499 wayfinder: prefer native blocking, and say why
The blocking rule now leads with the tracker's native dependency
relationship and encodes the rationale: native rendering makes the
frontier visible in the tracker's own UI, so the human sees what's
takeable without opening the map. Notes the body-convention fallback
for trackers that lack native blocking (GitHub has it; GitLab only on
paid tiers).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 10:39:04 +01:00
Matt PocockandGitHub e9dea692fd Merge pull request #434 from mattpocock/fix/tdd-code-review-reference
docs: fix tdd skill reference to code-review skill
2026-07-03 10:02:26 +01:00
Matt PocockandClaude Opus 4.8 bd453a6742 docs: fix tdd skill reference to code-review skill
The tdd skill pointed at a `review` skill that no longer exists; the
review skill is now named `code-review`. Update the reference.

Fixes #432

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 09:53:34 +01:00
Matt PocockandGitHub aed86f6b35 Merge pull request #433 from mattpocock/grilling-gate-and-leading-word
grilling: add confirmation gate and grill leading word
2026-07-03 09:49:36 +01:00
Matt PocockandClaude Opus 4.8 e1c025eaee Add minor changeset for grilling gate and leading word
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 09:48:46 +01:00
Matt PocockandClaude Opus 4.8 0e9a072792 grilling: add confirmation gate and grill leading word
Add a hard stop so the agent won't enact the plan until the user
confirms shared understanding is reached. Recruit the pretrained
"grill" leading word in the description, and re-sync the docs page
with the new gate behaviour.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 09:47:48 +01:00
Matt PocockandGitHub 1445797da5 Merge pull request #428 from mattpocock/wayfinder-plan-big-work
wayfinder: reframe description around planning big work
2026-07-02 14:29:34 +01:00
Matt PocockandClaude Opus 4.8 8cc3328633 wayfinder: reframe description around planning big work
The description does the skill's invocation work, so lead with the trigger
that actually reaches for Wayfinder — a huge chunk of work, more than one
agent session can hold — instead of the softer "chart a route through a
foggy problem". Skill body and fog-of-war mechanic unchanged.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 14:28:49 +01:00
Matt PocockandGitHub 5f45f2e35a Merge pull request #409 from mattpocock/research-skill
Add the research skill
2026-07-02 14:06:32 +01:00
Matt PocockandGitHub 728826c9d2 Merge pull request #425 from mattpocock/wayfinder-remove-handoff
wayfinder: remove the Handoff ceremony
2026-07-02 13:49:30 +01:00
Matt PocockandClaude Opus 4.8 1f16ea9499 wayfinder: remove the Handoff ceremony
Every session ended with a Handoff that queried the frontier and emitted
per-ticket copy-paste commands — real token cost each session. Cut it
entirely and let the natural flow carry continuation: the next
/wayfinder session already loads the map and picks the next frontier
ticket, so nothing is lost, just deferred to re-invocation.

Reconciles the references left behind: the one-ticket-per-session rule
and "charting is one session's work" constraint survive as plain lines;
the Refer-by-name paragraph drops its Handoff mentions.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 13:48:13 +01:00
Matt PocockandGitHub a83f22b60f Merge pull request #421 from mattpocock/add-claude-handoff-skill
Add claude-handoff skill (in-progress)
2026-07-02 11:33:48 +01:00
Matt PocockandClaude Opus 4.8 b25e2b3787 claude-handoff: add to in-progress README index
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 11:32:04 +01:00
Matt PocockandGitHub e0d0d84274 Merge pull request #422 from mattpocock/wayfinder-refer-by-name
wayfinder: refer to maps and tickets by name, not id
2026-07-02 11:31:36 +01:00
Matt PocockandClaude Opus 4.8 a12cca62fa wayfinder: use placeholders in Handoff example, drop no-op
Cut the "(trailing name orients you; it's ignored on paste)" gloss —
a # comment is self-evident. Replace the arbitrary "Briefing pipeline"
map name and specific ticket names with <map name>/<ticket name>
placeholders, consistent with the surrounding <map-url>/<issue-url>
style so nothing reads as a real referent.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 11:28:42 +01:00
Matt PocockandClaude Opus 4.8 5a7ee93f01 claude-handoff: say handoff summary, not document
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 11:26:55 +01:00
Matt PocockandClaude Opus 4.8 eb63f6e92c wayfinder: dedup identity claim in Refer-by-name
"id stays the identity" duplicated the Tickets section's "issue id is
its identity" — single source of truth belongs there (co-located with
the wiring/blocking mechanics that depend on ids). Reword to state the
pasteable-handle exception (link target, Handoff URL) without
re-defining identity. Trim redundant rationale wording.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 11:26:41 +01:00
Matt PocockandClaude Opus 4.8 8347a41614 claude-handoff: require descriptive --name
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 11:25:18 +01:00
Matt PocockandClaude Opus 4.8 8f3401d1a1 claude-handoff: reuse original handoff wording
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 11:24:51 +01:00
Matt PocockandClaude Opus 4.8 ee014fa8b1 wayfinder: refer to maps and tickets by name, not id
Add a "Refer by name" convention so Wayfinder surfaces maps and
tickets by their human-friendly title in everything the human reads
(narration, Decisions-so-far, Handoff) rather than bare ids, numbers,
or slugs — a wall of #42, #43, #44 is illegible; names read at a
glance. The id/URL stays the identity and pasteable handle, riding
inside the name's link.

Update the Handoff example to demonstrate it: name the map in the
header and annotate each parallel command with its ticket name.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 11:23:55 +01:00
Matt PocockandClaude Opus 4.8 f8d12710f7 Add claude-handoff skill (in-progress)
User-invoked skill mirroring handoff, but hands the conversation summary
to a fresh background agent via `claude --bg` instead of saving a
markdown document.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 11:22:35 +01:00
Matt Pocock a5c124ef9c Made wayfinder model-invocable 2026-07-02 11:01:48 +01:00
Matt PocockandGitHub c6b033e93a Merge pull request #420 from mattpocock/wayfinder-branch-terminology
fix(wayfinder): rename "Two branches" to "Two modes"
2026-07-02 09:57:03 +01:00
Matt PocockandClaude Opus 4.8 cb51924fbe fix(wayfinder): rename "Two branches" to "Two modes"
The word "branch" in the Invocation section primes git-aware agents
(Sonnet, GPT-5.5) to create git branches when running the skill,
littering established environments with per-session branches that then
have to be merged. Nothing here refers to git — the two "branches" are
the two invocation modes (chart the map / work through it). Rename to
"modes" to remove the false cue.

Fixes #418

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 09:51:01 +01:00
Matt PocockandGitHub ab6ef44652 Merge pull request #419 from mattpocock/wayfinder-map-is-index
refactor(wayfinder): make the map an index, not a store
2026-07-02 09:47:36 +01:00
Matt PocockandClaude Opus 4.8 927293589b refactor(wayfinder): make the map an index, not a store
State the no-duplication contract up front with a leading word: the map
indexes decisions and points at the tickets that hold them; a decision
lives in exactly one place — its ticket — so the map only gists and links.

Also close a fog-vs-ticket duplication: graduating fog into a ticket now
clears the graduated patch from the Fog.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 09:45:58 +01:00
Matt PocockandGitHub 7687025249 Merge pull request #413 from mattpocock/wayfinder-collaborative-tracker
feat(wayfinder): make the map collaborative via the issue tracker
2026-07-02 09:39:26 +01:00
Matt PocockandClaude Opus 4.8 2ba3bd848f refactor(wayfinder): fog-vs-ticket test as a list
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-02 09:38:48 +01:00
Matt PocockandClaude Opus 4.8 198efb1958 refactor(wayfinder): clarify fog-vs-ticket boundary
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-02 09:36:40 +01:00
Matt PocockandClaude Opus 4.8 039820a47d refactor(wayfinder): loosen fog length, dedup fog guidance
Drop the "one-liner" constraint — fog entries can be as loose or full as
the view allows. Point the map template's Fog comment at the Fog-of-war
section instead of restating it, and remove the duplicated "not a ticket"
now that the keep-out clause covers it.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 09:32:17 +01:00
Matt PocockandClaude Opus 4.8 d49cd08a11 docs(wayfinder): spell out what goes in the map's Fog section
The Fog-of-war section explained the loop but not the content. Add
explicit inclusion/exclusion guidance: dim decisions/investigations
coming but not yet specifiable, as rough one-liners — not what's already
decided (Decisions so far) or actionable now (a ticket).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 09:30:26 +01:00
Matt PocockandClaude Opus 4.8 46be3d60a0 feat(wayfinder): add explicit map and ticket body templates
Show the map body (Notes / Decisions so far / Fog) and the ticket body
(Question) as literal markdown templates instead of describing them in
prose, so a charting session reproduces the same shape every run. The
template carries the structure; surrounding prose trimmed to avoid
restating the zone list.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 09:27:46 +01:00
Matt PocockandClaude Opus 4.8 e2d606b9fc refactor(wayfinder): aggressive duplication pass
Single-source the frontier and fog definitions. The Tickets section owns
"frontier"; Fog-of-war owns the loop and terminal condition. Remove the
frontier re-definition and fog-nature restatement from Fog-of-war, the
duplicated frontier criteria from the work sequence, the repeated "way to
the goal is clear" from the intro, the "low resolution" restatement, and
the clear-context prose that its own example already shows.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 09:22:47 +01:00
Matt PocockandClaude Opus 4.8 1e5074a1e2 refactor(wayfinder): pruning pass — cut no-ops and duplication
Drop the "shared artifact, not a private file" sentence and the "one URL
the whole team reads" restatement (no-ops the agent obeys by default).
Fold Chart step 4 into step 3 — "don't chart what you can't see" already
lives in the Fog of war section (single source of truth).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 09:18:54 +01:00
Matt PocockandClaude Opus 4.8 5c3c49df1a feat(wayfinder): make the map collaborative via the issue tracker
Move the map off a local Markdown file and onto the repo's configured
issue tracker. The map is a single wayfinder:map issue whose tickets are
its child issues — one shared URL the team can watch and comment on.

Blocking, claiming (wayfinder:claimed), and the frontier query use native
tracker semantics; a session loads the map at low resolution (Notes +
per-closed-ticket context pointers + Fog prose) and zooms into tickets on
demand. Per-tracker mechanics live behind the docs/agents/issue-tracker.md
pointer, so setup-matt-pocock-skills seeds a "Wayfinding operations"
section for GitHub, GitLab, and local-markdown; absent that doc, Wayfinder
defaults to local-markdown.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-01 20:28:48 +01:00
Matt PocockandGitHub 7a83a3a682 Merge pull request #412 from mattpocock/rename-decision-mapping-to-wayfinding
Rename decision-mapping skill to wayfinder
2026-07-01 19:51:33 +01:00
Matt PocockandClaude Opus 4.8 de7f02e2b1 refactor(wayfinder): neutralize intro, drop persona framing
Remove the "You are the Wayfinder" second-person persona from the intro,
description, and README so the agent doesn't adopt a persona. Keep the
leading-word frame (chart / fog / frontier / map); wayfinder stays only as
the skill/invocation name.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 19:51:05 +01:00
Matt PocockandClaude Opus 4.8 01f0b7e11a refactor(wayfinder): invoke as /wayfinder, not /wayfinding
The persona is the Wayfinder; the invocation should match. Rename the
folder and skill name to wayfinder and update the invocation examples,
README link, and changeset. "wayfinding" stays only as the activity noun.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 19:48:33 +01:00
Matt PocockandClaude Opus 4.8 4027ea6afd refactor(decision-mapping): rename to wayfinding
Reframe the planning skill around the Wayfinder persona — chart a route
through a foggy problem, resolving tickets one at a time until the way to
the goal is clear. "Decision map" was jargony and inaccurate (only 1 of 4
ticket types is a decision).

Rename the folder and skill name, rewrite the description and framing, and
prune: unify node->ticket, bind "frontier" to the unblocked set, drop the
duplicated "one question at a time" (owned by /grilling), trim intro no-ops.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 19:47:01 +01:00
Matt PocockandClaude Opus 4.8 0d74d01cbc feat: add the research skill
A small, model-invoked skill that spins up a background agent to
investigate a question against high-trust primary sources, then leaves a
single cited Markdown file wherever the repo keeps such notes.

Wires it into the plugin set, both READMEs (Model-invoked), a docs page,
and the ask-matt router, per the repo's promoted-skill conventions.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-01 16:32:15 +01:00
Matt PocockandGitHub b38badf709 Merge pull request #408 from mattpocock/chore/implement-public-skill
chore: add implement skill to public plugin set
2026-07-01 16:30:41 +01:00
Matt PocockandClaude Opus 4.8 b3b1d8d1fd chore: add implement skill to public plugin set
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-01 16:26:13 +01:00
Matt PocockandGitHub 21f59763be Merge pull request #393 from mattpocock/tdd-reference-only-seams
tdd: reshape into reference-only with pre-agreed seams
2026-07-01 12:51:40 +01:00
Matt PocockandGitHub ec4ebab4f0 Merge pull request #406 from mattpocock/ask-matt-full-skill-map
ask-matt: map the full skill set, add router maintenance rule
2026-07-01 12:29:16 +01:00
Matt PocockandClaude Opus 4.8 930a450089 Add changeset for ask-matt full skill map
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-01 12:28:34 +01:00
Matt PocockandClaude Opus 4.8 770a0504db ask-matt: map the full skill set, add router maintenance rule
Ask Matt was missing five skills that now exist and are user-reachable:
tdd (the red-green engine implement drives), diagnosing-bugs (there was
no route for "something's broken"), domain-modeling and codebase-design
(the two vocabulary references), and grilling (the shared primitive).

- SKILL.md: add a "Something's broken" on-ramp for diagnosing-bugs, a
  "Vocabulary underneath" section for domain-modeling/codebase-design,
  weave tdd into the main flow, flesh out prototype, broaden the
  description from "user-invoked skills" to "the skills".
- docs/engineering/ask-matt.md: re-sync the framing to match.
- CLAUDE.md: add a maintenance rule so any future skill change triggers
  an Ask Matt re-check, beside the existing docs-page re-sync rule.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-01 12:25:31 +01:00
Matt PocockandGitHub 26512d74b1 Merge pull request #405 from mattpocock/rename/review-to-code-review
Rename review skill to code-review, promote to engineering
2026-07-01 12:06:56 +01:00
Matt PocockandClaude Opus 4.8 8010ddb2bb docs: thread code-review through the full build-chain flow
The build chain now ends at code-review. Update every flow doc that draws
the chain so it reads end-to-end:

    grill-with-docs → to-prd → to-issues → implement → code-review

- grill-with-docs / to-prd / to-issues: extend the diagram; point the
  downstream neighbour at implement (which drives tdd internally).
- tdd: reframe from "final step" to the engine inside implement's step.
- implement: extend the diagram to include the review pass.
- ask-matt: narrate the flow ending in review (docs) and note that
  /implement closes out with /code-review (SKILL.md).
- writing-docs guide: refresh the example chain.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-01 12:05:16 +01:00
Matt PocockandClaude Opus 4.8 14c13c5bf9 Rename review skill to code-review and promote to engineering
Rename the in-progress `review` skill to `code-review` and move it from
`skills/in-progress/` into the promoted `skills/engineering/` bucket.

- Add it to `.claude-plugin/plugin.json` and the Model-invoked sections of
  the top-level and Engineering READMEs; drop it from the in-progress README.
- Add a docs page at `docs/engineering/code-review.md`.
- Point `/implement` and its docs at `/code-review`.
- Update the smell-baseline changeset reference; add a changeset for the move.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-01 12:04:12 +01:00
Matt PocockandGitHub 5a4191541c Merge pull request #404 from mattpocock/docs/chain-ends-at-implement
docs: end the build chain at implement, not tdd
2026-07-01 11:44:01 +01:00
Matt PocockandClaude Opus 4.8 f72b3d5bd4 docs: end the build chain at implement, not tdd
The canonical build chain is grill-with-docs → to-prd → to-issues →
implement, with tdd as the red-green loop implement drives internally
rather than a chain step of its own.

- Update the chain diagram on grill-with-docs, to-prd, to-issues, and tdd.
- Reframe tdd's "Where it fits": it's the engine inside the implement
  step, still independently reachable, no longer the terminal.
- Point to-prd and to-issues at implement as the thing that builds the
  tickets, giving implement the inbound links it previously lacked.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 11:43:08 +01:00
Matt PocockandGitHub b8c052f56e Merge pull request #403 from mattpocock/docs/skill-pages-remaining
docs: pages for the remaining 22 promoted skills
2026-07-01 11:37:56 +01:00
Matt PocockandClaude Opus 4.8 7efc3d2a38 misc: demote to a non-promoted bucket
misc/ skills are no longer installable via the plugin or listed in the
top-level README — they join personal/ as kept-but-unshipped. Only
engineering/ and productivity/ are promoted now.

- Drop the Misc section from the top-level README.
- Reclassify misc/ as non-promoted in CLAUDE.md (README/plugin rule,
  bucket-README grouping rule, docs-page rule) and the writing-docs guide.
- Note the non-promoted status in the misc bucket README.

plugin.json already omitted misc, so no manifest change was needed.
No SKILL.md context pointer referenced a misc skill, so nothing else
had to move.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 11:36:37 +01:00
Matt PocockandClaude Opus 4.8 8fa032a8fd docs: exclude misc/ skills from the public docs
misc/ skills are niche — they stay promoted (README + plugin manifest,
so they're installable) but no longer get a public aihero.dev docs
page. Remove the four misc pages and decouple the docs rule from the
promotion rule in CLAUDE.md and the writing-docs guide.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 11:31:29 +01:00
Matt PocockandClaude Opus 4.8 ade35dc0d8 docs: drop the formulaic "load-bearing constraint:" label
The repeated "The load-bearing constraint:" opener on every page read
as an agent tell. Strip the label across all skill pages and let the
constraint stand as a plain declarative sentence; update the
writing-docs template so it isn't regenerated.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 11:27:36 +01:00
Matt PocockandClaude Opus 4.8 995fceec7a docs: name the reference skills other skills lean on
codebase-design, domain-modeling and grilling are pulled out as
standalone, model-invoked skills precisely so other skills can point
at them and so you can reach them as a reference independently of the
steps any wrapper mandates. Add a "Pulled out on purpose" section to
each that names who leans on it and why it stands alone, and slim the
overlapping "Where it fits" prose to avoid duplication.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 11:27:36 +01:00
Matt PocockandClaude Opus 4.8 f5ed5657bd docs: add human-facing pages for the remaining 22 promoted skills
Adds a docs page for every promoted skill that lacked one, following
.agents/writing-docs.md and using docs/engineering/to-prd.md as the
worked exemplar. Covers all of engineering/ (bar to-prd, already done),
productivity/, and misc/.

Each page states its load-bearing constraint, its invocation mode and
trigger boundary, surfaces the skill's leading word, and routes back to
ask-matt so the set forms a connected router with no dead ends.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 11:18:17 +01:00
Matt PocockandGitHub 5694f83609 Merge pull request #402 from mattpocock/docs/skill-pages-template
docs: rework the skill docs-page template
2026-07-01 11:08:07 +01:00
Matt PocockandClaude Opus 4.8 340d01b145 docs: add "It's working if" convention; flesh out PRD section
- Replace the inline "watch for the leading words" line with an
  optional `## It's working if` section — a short list of observable
  signals the skill is doing its job. Keeps observability from being
  hammered onto leading words specifically.
- Build out to-prd's "What the PRD includes" with proper casing and a
  one-line explainer per section.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 11:05:35 +01:00
Matt PocockandClaude Opus 4.8 77cc47773c docs: rework the skill docs-page template
Reframe docs pages around cognitive-load relief: most skills are
user-invoked, so the human is the index that must remember when to
reach for each one. Each page's job is to make one skill memorable
and situate it in the system.

Template changes (.agents/writing-docs.md):
- Quickstart block: install + `npx skills update`, install-first
- New `## When to reach for it` (invocation mode + trigger boundary)
- New optional `## Prerequisites` (workspace/state, prior setup, tooling)
- Free-form middle with one firm rule: surface the leading word
  (also an observability signal in the agent's output)
- `## Where it fits`: role-based, absorbs "Pairs well with", links ask-matt
- No H1; every cross-link absolute

Nest docs under bucket folders (docs/<bucket>/<name>.md); the
published URL stays skills-<name> regardless. Re-sync to-prd as the
worked exemplar.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 11:00:54 +01:00
Matt PocockandGitHub ca85062d46 Merge pull request #401 from mattpocock/decision-mapping-task-type
Add Task ticket type to decision-mapping skill
2026-07-01 10:44:06 +01:00
Matt PocockandClaude Opus 4.8 64d9f3d49e Add Task ticket type to decision-mapping skill
Some blockers are neither a decision, a prototype, nor research — just
literal manual work (moving data, signing up for a service, provisioning
access) that must happen before discussion can move forward.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 10:41:51 +01:00
Matt Pocock 7c1d609ce2 Add documentation guidelines for skill pages and update CLAUDE.md references 2026-07-01 09:57:05 +01:00
Matt Pocock 72748b9519 Fix command syntax in to-prd installation instructions 2026-07-01 09:51:25 +01:00
Matt Pocock 94cac3a3c7 Fix links in the to-prd documentation for better accessibility 2026-07-01 09:50:21 +01:00
Matt Pocock 3525dcd9b2 Add documentation for the to-prd skill 2026-07-01 09:48:39 +01:00
Matt PocockandClaude Opus 4.8 6e178c6826 Move docs/ into .agents/
Relocate this repo's ADRs and invocation.md from docs/ to .agents/,
and update the CLAUDE.md reference.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-01 09:46:14 +01:00
Matt PocockandGitHub 0877403d1e Merge pull request #398 from mattpocock/generalize-decision-mapping
Generalize decision-mapping beyond engineering
2026-06-30 18:45:31 +01:00
Matt PocockandClaude Opus 4.8 575d14b806 Trim Notes block to its definition (cut no-op behavioral prose)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 18:44:56 +01:00
Matt PocockandClaude Opus 4.8 79a5c9cc55 Keep Prototype name; move Notes block to end of map
- Revert Sketch back to Prototype to mesh with the /prototype skill and
  existing vocabulary, keeping the generalized function-first definition.
- Move the `## Notes` block from the top of the map to the end.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 18:40:52 +01:00
Matt PocockandClaude Opus 4.8 3dc6800550 Generalize decision-mapping beyond engineering
Decouple the skill from engineering so it plans any domain (e.g. course
content) without specializing toward it. Domain specifics live in the map,
not the skill body.

- Add an optional `## Notes` block to the map: declares the domain + skills
  to consult, plus freeform standing preferences. Loaded into every session,
  honored by every session, accrues as it emerges.
- Rename the Prototype ticket type to Sketch and define it by function —
  raise the fidelity of the discussion with a cheap concrete artifact to
  react to (/prototype is one medium among outline/rough-take/stub).
- Note that validation is the thread through all three types, not a type.
- Resolve step now consults skills named in Notes.

The session machinery (one ticket per session, claiming, parallelism,
handoff) is unchanged — it follows from the AI agent's smart/dumb zones, not
the domain.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 18:38:34 +01:00
Matt PocockandClaude Opus 4.8 801dca6885 docs(CLAUDE.md): point to scripts/link-skills.sh for (re)linking skills
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 11:36:43 +01:00
Matt PocockandGitHub 999745ead1 Merge pull request #395 from mattpocock/dev-only-link-skills-note
docs(link-skills): mark as a dev-only script
2026-06-30 10:29:36 +01:00
Matt PocockandClaude Opus 4.8 6b8c429bc6 docs(link-skills): mark as a dev-only script
Add a header note clarifying that link-skills.sh is a dev-only script for
maintainers, not a supported installer, and that modifications or requests
for modification will not be approved.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 10:28:50 +01:00
Matt PocockandGitHub 7936cd4b8b Merge pull request #394 from mattpocock/review-smell-baseline
feat(review): always-on Fowler smell baseline in the Standards axis
2026-06-30 10:24:14 +01:00
Matt PocockandClaude Opus 4.8 7a4c7561d4 Add changeset for review smell baseline
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 10:19:49 +01:00
Matt PocockandClaude Opus 4.8 0894b3300f review: add a terse fix to each smell in the baseline
Each smell now reads what-it-is → how-to-fix, telegraphic style — the fix
is the actionable half a reviewer needs, kept to a clause.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 10:02:31 +01:00
Matt PocockandClaude Opus 4.8 cac470445b feat(review): add an always-on Fowler smell baseline to the Standards axis
Folds Refactoring ch.3 "Bad Smells in Code" into the in-progress `review`
skill. The skill stays two-axis: smells layer into the Standards axis as a
fixed, always-on baseline alongside a repo's documented standards, rather
than a third axis.

Because the baseline is needed on every run it lives inline in SKILL.md.
Each smell is one line — its name carries the definition (the names are
strong leading words) plus a diff-specific cue. Curated to ~12 high-signal
smells; vague ones (Comments, Loops) and tooling-caught ones (Long
Parameter List) are deliberately dropped.

Two rules bind the baseline: a documented repo standard always overrides
it, and every smell is reported as a judgement call, never a hard
violation. The Standards sub-agent prompt now carries the baseline and
these rules.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 09:58:26 +01:00
Matt PocockandClaude Opus 4.8 80e9dcc685 tdd: drop the refactor stage — red → green, not red → green → refactor
Refactoring belongs to the review stage, not the implementation loop.
Remove the refactor rule and the now-orphaned refactoring.md (its home is
the review skill), and point the loop's rule at the review skill so it
isn't re-added.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 09:48:57 +01:00
Matt PocockandClaude Opus 4.8 e81f97660a tdd: reshape into reference-only with pre-agreed seams
The red → green → refactor loop is anchored by leading words the model
already holds, so the step-by-step Workflow mostly restated the loop and
duplicated the horizontal-slicing anti-pattern. Drop the Workflow and
per-cycle checklist; fold their durable idea (vertical slices / tracer
bullets) into Anti-patterns and a short Rules-of-the-loop list.

Introduce **seam** as the leading word for where tests go, collapsing the
old Philosophy "public interfaces" prose and the Planning "confirm
interface / behaviors" handshake into one rule: test only at pre-agreed
seams, confirmed with the user before any test is written.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 09:43:49 +01:00
Matt PocockandClaude Opus 4.8 43ea0884b0 tdd: add tautological-test anti-pattern
Tests whose assertion is recomputed the way the code computes it pass by
construction and give zero confidence. Add it as a peer of the existing
implementation-coupling anti-pattern: a Philosophy principle, a per-cycle
checklist gate, and a BAD/GOOD example pair in tests.md. Includes a patch
changeset.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-29 21:22:50 +01:00
Matt PocockandClaude Opus 4.8 a116824938 decision-mapping: key tickets by dash-case slugs, not numeric ids
Replace numeric ticket ids (#1, #2…) with short, token-efficient
dash-case slugs (e.g. relational-db) that read as mini-titles. Update
the Structure example, the next-ticket selection rule (lowest-numbered →
first in document order), the optional-arg wording, and the Handoff
copy-paste examples accordingly.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-29 16:50:46 +01:00
Matt Pocock 448d0adee7 Merge branch 'main' of https://github.com/mattpocock/skills
# Conflicts:
#	skills/in-progress/decision-mapping/SKILL.md
2026-06-29 13:53:15 +01:00
Matt Pocock 850873cd73 feat: implement model-invoked prototype skill and enhance wizard functionality 2026-06-29 13:51:38 +01:00
Matt Pocock 5d78bd0903 fix: correct spelling of 'domain-modeling' in decision-mapping documentation 2026-06-25 12:48:23 +01:00
Matt Pocock 78636f8e5c Updated writing-* skills 2026-06-25 11:57:14 +01:00
Matt Pocock 8370e760d0 refactor: enhance glossary clarity and structure 2026-06-24 11:29:44 +01:00
Matt PocockandClaude Opus 4.8 74f0450b9c Link skills into ~/.agents/skills as well as ~/.claude/skills
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 11:27:21 +01:00
Matt PocockandClaude Opus 4.8 c71fce0297 Refine decision-mapping bootstrap step
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 11:26:57 +01:00
Matt PocockandClaude Opus 4.8 e95b1813c5 Move loop-me into in-progress
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 11:26:57 +01:00
Matt Pocock 42396a51d6 fix: update ticket type terminology from "Discuss" to "Grilling" 2026-06-22 13:15:30 +01:00
Matt Pocock 6eeb81b5fc Merge branch 'main' of https://github.com/mattpocock/skills 2026-06-18 09:41:33 +01:00
Matt Pocock e00eadb4bb Added PR's as a triage surface 2026-06-18 09:41:30 +01:00
Matt PocockandGitHub 2454c95dc3 Merge pull request #347 from mattpocock/changeset-release/main
chore: version skills
2026-06-17 23:07:39 +01:00
github-actions[bot] 7d684becad chore: version skills 2026-06-17 21:26:49 +00:00
Matt Pocock aa024cb195 feat: enhance teach skill to prioritize reusable components from ./assets 2026-06-17 22:26:34 +01:00
Matt PocockandClaude Opus 4.8 d20ee2684e feat: let teach skill share code between lessons via ./assets
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-17 22:18:21 +01:00
Matt PocockandClaude Opus 4.8 bddb833cba fix: create GitHub releases on version bump
Add `publish: npx changeset tag` to the release workflow and enable
tagging for private packages in the changesets config, so merging a
Version PR creates a git tag and GitHub release.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-17 15:46:32 +01:00
Matt PocockandGitHub 00ff03cac2 Merge pull request #345 from mattpocock/changeset-release/main
chore: version skills
2026-06-17 15:40:47 +01:00
github-actions[bot] 82e85064ea chore: version skills 2026-06-17 14:39:42 +00:00
Matt Pocock 47bde84da0 feat: introduce new skills and refine existing ones
- Add `ask-matt` skill for user-invoked routing.
- Introduce `codebase-design` and `domain-modeling` skills, updating dependencies.
- Remove unused `caveman` and `zoom-out` skills.
- Rename `diagnose` skill to `diagnosing-bugs`.
- Add `resolving-merge-conflicts` skill for handling git conflicts.
- Tighten `review` skill with improved checks.
- Update skill taxonomy to user-invoked and model-invoked.
- Replace `write-a-skill` with `writing-great-skills` for better guidance.
2026-06-17 15:39:06 +01:00
Matt PocockandGitHub 6a62d72ab1 Merge pull request #291 from mattpocock/matt/commands-and-skills
Split skills into model-invoked vs user-invoked
2026-06-17 15:21:40 +01:00
Matt PocockandClaude Opus 4.8 a032401486 chore: set up changesets
Add changesets for tracking and versioning skill changes:
- package.json (private) + @changesets/cli and @changesets/changelog-github
- .changeset/config.json using the GitHub release-style changelog
- release workflow that opens a version PR on push to main (no npm publish)
- initial changeset recording recent skill updates

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-17 15:21:20 +01:00
Matt Pocock ee8bae4006 Reduced description lengths 2026-06-17 15:15:11 +01:00
Matt Pocock 460f19f240 refine: Simplify description in 'ask-matt' skill documentation 2026-06-17 14:57:25 +01:00
Matt Pocock 245e31bbbd refine: Remove 'caveman' skill and update documentation accordingly 2026-06-17 14:56:08 +01:00
Matt Pocock 48f3d31fef refine: Clarify multi-session build process and enhance triage guidance in 'ask-matt' skill documentation 2026-06-17 14:53:11 +01:00
Matt Pocock df129fcfce refine: Add 'ask-matt' skill and update documentation for user-invoked skills 2026-06-17 14:45:47 +01:00
Matt PocockandClaude Opus 4.8 aa7ed40cbe refine: Make writing-great-skills hunt no-ops at the sentence level
Add a Pruning directive to run the no-op test sentence by sentence and
delete whole failing sentences rather than trim words. References the
existing no-op test as single source of truth — no restated definition.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-17 14:33:42 +01:00
Matt PocockandClaude Opus 4.8 2e647324f9 refine: Tighten review skill — fail-fast ref check, single-sourced rules, no-op cuts
- Validate the fixed point resolves and diff is non-empty before spawning sub-agents
- Single-source the tooling-enforced and two-axis rationale (point to Why two axes)
- Fix rerank contradiction: summarize worst issue per axis, not across axes
- Drop dead "Read X, then read the diff" preambles from both briefs

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-17 14:29:34 +01:00
Matt PocockandClaude Opus 4.8 e112a6b03c Remove zoom-out skill and all references
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-17 14:19:52 +01:00
Matt Pocock 801a01cc7d refine: Update terminology from Commands/Skills to User-invoked/Model-invoked and enhance documentation 2026-06-17 14:18:05 +01:00
Matt Pocock bc4cf903ff Added writing-great-skills skill 2026-06-17 13:45:28 +01:00
Matt PocockandClaude Opus 4.8 ab7196a158 feat: Add decision-mapping skill
Adds a new engineering skill that turns loose ideas with many
interdependent open decisions into a sequenced DAG of one-session
investigation tickets, driving them to resolution one at a time.
Sits at the front of the pipeline, before /to-prd.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-15 13:30:21 +01:00
Matt Pocock ffb2fa6623 feat: Add implement skill documentation for PRD-based work 2026-06-12 09:25:19 +01:00
Matt Pocock 788b5c382b Added prefactoring 2026-06-12 09:25:19 +01:00
Matt Pocock 81ddacb08b refine: Add skill documentation for resolving merge conflicts 2026-06-12 09:25:19 +01:00
Matt Pocock 3832253f14 The fewer seams, the better 2026-06-12 09:25:19 +01:00
Matt Pocock 658d53e6de Improved /grill-with-docs commit message 2026-06-12 09:25:19 +01:00
Matt Pocock 800201f7b2 refine: Update description for grilling skill to enhance clarity and focus 2026-06-12 09:25:19 +01:00
Matt Pocock 0a8105bba9 refine: Remove caveman skill documentation to streamline productivity skills 2026-06-12 09:25:19 +01:00
Matt Pocock 7d3ada9716 refine: Remove caveman skill documentation to streamline productivity skills 2026-06-12 09:25:19 +01:00
Matt Pocock 0a4b76776d refine: Add disable-model-invocation flag to edit-article skill for improved functionality 2026-06-12 09:25:19 +01:00
Matt Pocock cbf6db4233 refine: Update description for grill-me skill and adjust session instruction for clarity 2026-06-12 09:25:19 +01:00
Matt Pocock 2064fb64bc refine: Simplify instructions for running grilling and domain modeling skills 2026-06-12 09:25:19 +01:00
Matt Pocock 221ffca967 feat: Add new skills and templates for domain modeling, bug diagnosis, and architectural improvement
- Introduced a human-in-the-loop script for bug diagnosis to capture user feedback.
- Created ADR and CONTEXT formats to standardize architectural decision records and domain context documentation.
- Developed a domain modeling skill to refine terminology and maintain a shared language.
- Enhanced the improve-codebase-architecture skill to provide visual reports and deepening opportunities.
- Consolidated grilling and handoff skills for better user interaction and documentation.
- Updated existing skills to improve clarity and consistency in descriptions and functionality.
2026-06-12 09:25:19 +01:00
Matt Pocock 694fa30311 Refine quiz guidelines by standardizing answer length to prevent user clues and enhance assessment integrity. 2026-06-10 16:01:44 +01:00
Matt Pocock dabb725dfd Clarify terminology in teaching documentation by replacing 'learner' with 'user' for consistency and improved user experience. 2026-06-10 15:53:12 +01:00
Matt Pocock 3b37863fc3 Enhance teaching guidelines by introducing concepts of fluency vs storage strength, emphasizing long-term retention strategies, and adding reminders for follow-up questions to improve learner engagement. 2026-06-10 15:52:32 +01:00
Matt Pocock d75217795c Refine lesson guidelines for clarity and user experience by emphasizing brevity and actionable outcomes 2026-06-10 14:32:02 +01:00
Matt Pocock 26ba8ae34b Add recommendation for primary source in lesson guidelines to enhance resource quality 2026-06-10 14:12:04 +01:00
Matt Pocock e3d8b735ef Add HTML anchor linking between lessons and reference documents for improved navigation 2026-06-09 18:56:43 +01:00
Matt Pocock 59c92aa9e7 Clarify mission updates in teaching documentation to ensure alignment with user skill development 2026-06-09 18:56:13 +01:00
Matt Pocock 2bf7005192 Add teaching skill and related documentation for enhanced learning experience 2026-06-08 15:02:04 +01:00
Matt Pocock be55a79703 Add NOTES.md for recording user preferences and teaching notes 2026-06-06 10:12:27 +01:00
Matt Pocock dbcb1bda03 Enhance lesson guidelines by emphasizing the importance of citations and interactive elements for improved user engagement 2026-06-06 10:10:38 +01:00
Matt Pocock cef541c888 Merge branch 'main' of github.com:mattpocock/skills
# Conflicts:
#	skills/in-progress/teach/SKILL.md
2026-06-06 10:09:36 +01:00
Matt Pocock 88eb3f8d04 Refactor teaching documentation to enhance clarity and structure; added lessons section and improved terminology consistency. 2026-06-06 10:06:03 +01:00
Matt Pocock aaf2453fbd Refine teaching skill documentation to enhance clarity and interactivity of explainers 2026-05-31 10:08:36 +01:00
Matt Pocock e3b90b5238 Refine rules in CONTEXT-FORMAT.md for clarity and consistency 2026-05-28 16:48:30 +01:00
Matt Pocock 0288510dd6 Merge branch 'main' of github.com:mattpocock/skills 2026-05-27 13:36:22 +01:00
Matt Pocock bd96a9f0c6 Moved /teach to in-progress 2026-05-27 13:36:16 +01:00
Matt Pocock fadf11d45f Added /teach 2026-05-27 13:35:56 +01:00
Matt Pocock b8be62ffac Merge branch 'main' of https://github.com/mattpocock/skills 2026-05-20 09:46:53 +01:00
Matt Pocock a36584e09e Updated ICA 2026-05-20 09:46:51 +01:00
Matt Pocock d54c497aa9 Improved wording of /handoff 2026-05-19 17:07:02 +01:00
Matt Pocock e7df78bb81 Removed relationships, example dialogue, and flagged ambiguities from CONTEXT.md template 2026-05-19 14:40:27 +01:00
Matt Pocock bc32841b2e Update handoff skill documentation to clarify saving location for handoff documents 2026-05-19 14:34:59 +01:00
Matt Pocock feaaf4204d Added redaction info to handoff skill 2026-05-19 14:29:31 +01:00
102 changed files with 4735 additions and 854 deletions
@@ -4,7 +4,7 @@ Engineering skills depend on per-repo config (issue tracker, triage label vocabu
We split these into **hard-dependency** and **soft-dependency** skills:
- **Hard dependency** (`to-issues`, `to-prd`, `triage`) — include an explicit one-liner: _"… should have been provided to you — run `/setup-matt-pocock-skills` if not."_ Without the mapping, output is wrong, not just fuzzy.
- **Soft dependency** (`diagnose`, `tdd`, `improve-codebase-architecture`, `zoom-out`) — reference "the project's domain glossary" and "ADRs in the area you're touching" in vague prose only. If the docs aren't there, the skill still works; output is just less sharp.
- **Hard dependency** (`to-tickets`, `to-spec`, `triage`) — include an explicit one-liner: _"… should have been provided to you — run `/setup-matt-pocock-skills` if not."_ Without the mapping, output is wrong, not just fuzzy.
- **Soft dependency** (`diagnose`, `tdd`, `improve-codebase-architecture`) — reference "the project's domain glossary" and "ADRs in the area you're touching" in vague prose only. If the docs aren't there, the skill still works; output is just less sharp.
The split keeps soft-dependency skills token-light and avoids cargo-culting the setup pointer into places where it isn't load-bearing.
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# Model-invoked vs user-invoked
Every `SKILL.md` in this repo is a skill. The one axis that splits them is **invocation** — who can reach it:
- **User-invoked** — reachable **only by the human typing its name**. Set `disable-model-invocation: true` in the frontmatter. The `description` is **human-facing**: a one-line summary read by a person browsing slash-commands. Strip trigger lists ("Use when the user says…").
- **Model-invoked** — reachable by **model or user**. The default: omit `disable-model-invocation`. The `description` is **model-facing** and keeps rich trigger phrasing ("Use when the user wants…, mentions…, asks for…") so auto-invocation fires. The test for whether a skill should stay model-invoked: _could the model usefully reach for this autonomously?_ (Reuse is the reason to extract a skill, not the test.)
Because a user-invoked skill has no description, nothing but the human can reach it — no other skill can fire it. So a user-invoked skill may invoke model-invoked skills, but it can never reach another user-invoked skill.
Bucket `README.md`s and the top-level `README.md` group entries into **User-invoked** and **Model-invoked**.
## Dependencies between them
Dependencies are expressed as **`/skill`-style prose invocation** ("Run the `/grilling` skill"), not deep `../other-skill/FILE.md` cross-references. Shared reference docs live inside the skill that owns them; other skills reach that material by invoking the skill, not by linking across folders.
## Passive vs active domain work
Merely _reading_ `CONTEXT.md` for vocabulary is a one-line prose pointer, not the `domain-modeling` skill. Only the active build/sharpen discipline (challenge terms, edge-case scenarios, write ADRs, update `CONTEXT.md` inline) is `domain-modeling`.
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# Writing docs pages
Every skill in `engineering/` and `productivity/` has a human-facing **docs page** at `docs/<bucket>/<skill-name>.md` — the docs tree mirrors those two bucket folders under `skills/`. It is published at `https://aihero.dev/skills-<skill-name>`; the URL is always `skills-<skill-name>` regardless of bucket, so the docs path is repo organisation only. The page is not the skill and not a copy of `SKILL.md`. Only these two buckets are promoted; the rest (`misc/`, `personal/`, `in-progress/`, `deprecated/`) ship no docs page.
Most of these skills are **user-invoked**: the agent will never fire them for you, so *you* are the index that has to remember they exist and when to reach for them. That memory is **cognitive load**. The job of a docs page is to relieve it — to orient one reader around one skill so they can hold it in their head, know when to reach for it, and see where it sits in the system. The pages are collectively a distributed router; each is a node.
Act whenever a promoted skill is added, renamed, or has its behaviour changed: create or re-sync its docs page. A rename moves the file too (`docs/<bucket>/<old>.md``docs/<bucket>/<new>.md`), because the published URL tracks the name; a skill that moves between `engineering/` and `productivity/` moves its docs file to the matching folder. Skills in `misc/`, `personal/`, `in-progress/`, and `deprecated/` get no page — none of those buckets is promoted. A skill moving *out* of one of them into `engineering/` or `productivity/` gains a page; one moving the other way loses it.
Because these pages are published on `aihero.dev`, **every link is absolute** — never a repo-relative path. A link to another skill points at `https://aihero.dev/skills-<name>`; a link into the repo points at its full `https://github.com/mattpocock/skills/...` URL. A relative link that works in the repo breaks once published.
There is no H1 — the published page takes its title from the slug.
## Page structure
Fill the template below. The **fixed frame** (Quickstart block, source link, `## What it does`, `## When to reach for it`, `## Where it fits`) appears on every page. The **adaptable middle**`## Prerequisites` and the free-form substance sections — carries only what this particular skill earns; delete the rest.
<page-template>
Quickstart:
```bash
npx skills add mattpocock/skills --skill=<name>
```
```bash
npx skills update <name>
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/<bucket>/<name>)
## What it does
One or two plain-language paragraphs. Lead with the skill's one-sentence job, then state the **defining constraint** — the single fact that makes this skill behave differently from the obvious default (for `to-spec`: it does not interview the user again, it synthesises what is already known). Write it as a plain declarative sentence — never a labelled aside like "The defining constraint:" or "The key thing:"; the formula reads as filler. This line is the most valuable on the page; never omit it.
## When to reach for it
How and when you reach for the skill — two beats, both effectively always present:
- **Invocation mode.** State whether you type it or the agent fires it. A user-invoked skill: "You invoke this by typing `/<name>` — the agent won't reach for it on its own." A model-invoked skill: "Type `/<name>`, or the agent reaches for it automatically when a task fits."
- **Trigger boundary.** The index entry: "reach for this when …". Where the skill is confusable with a sibling, add the other half — "for <X> instead, use [<sibling>](https://aihero.dev/skills-<sibling>)."
## Prerequisites
Optional — include only when the skill needs something in place to be functional; omit the heading entirely otherwise. Covers: a **workspace it writes into** (a stateful skill like `grill-with-docs` writes `CONTEXT.md` and ADRs; `teach` builds a whole directory — say what it writes and where), **prior setup** (`triage`/`to-spec`/`to-tickets` need `setup-matt-pocock-skills` to have configured an issue tracker), or **repo-specific tooling**. A stateless skill that runs anywhere has no prerequisites — drop the section.
## <free-form middle>
One to three short sections, in the skill's *own vocabulary*, that make it click — choose whatever headings fit the skill: the loop it runs, the artifact it produces, the fork it makes, the one anti-pattern it kills. There is no prescribed heading; the skills are too heterogeneous for one.
The single non-negotiable: **surface the skill's leading word / defining idea**`tight` feedback loop, `deep module`, throwaway-code-answers-a-question, red-green. It pays off twice: the reader learns what the skill *is*, and learns the word they'll later think with to *reach for* it.
## It's working if
Optional. A short, checkable list of the observable signals that tell the reader the skill is actually doing its job — what they should see when it fires, and by absence when it hasn't. Include it when a skill has crisp tells (e.g. `to-spec` writes without re-interviewing you; a leading word reappearing in the trace); omit the heading when the signals are vague. A few bullets, no more.
## Where it fits
Always present. Situate the skill in the system in a sentence or two:
- **Role.** Name it: a **chain step** (`grill-with-docs → to-spec → to-tickets → implement → code-review`), a **run-once setup** (`setup-matt-pocock-skills`), **periodic maintenance** (`improve-codebase-architecture`, "every few days"), or a **reach-for-it-anytime standalone** (`diagnosing-bugs`, `prototype`, `handoff`). A standalone's map is one honest sentence — far better than omitting the section.
- **Neighbours.** The one or two siblings that matter, each with a because-clause, linked absolutely.
- **The map.** Point to [ask-matt](https://aihero.dev/skills-ask-matt), the router over the whole set, so this page stays a node and never has to redraw the graph.
</page-template>
## Conventions
- Explain the **why**, not the process. The page orients and situates the skill; it never reproduces the `SKILL.md` steps or template dumps — a human choosing a tool does not need the runbook.
- Use the skill's **leading words** (_seam_, _deep module_, _tracer bullet_) so the page and the skill speak one language.
- Keep the page itself low-load. It is documentation *about* low-cognitive-load skills; furniture (spare headings, restated links) is the thing it is arguing against.
## Done when
- The page exists at `docs/<bucket>/<name>.md`, and no stale page survives a rename or bucket move.
- The Quickstart block and source link name the correct bucket and skill; the update line names the skill.
- `## What it does` states the defining constraint, as plain prose rather than a labelled aside.
- `## When to reach for it` states invocation mode and the trigger boundary.
- `## Where it fits` names the role and links to `ask-matt`.
- A prerequisite (workspace, prior setup, tooling) is stated where one exists, and the section is absent where none does.
- The middle surfaces the leading word.
- Every link is absolute, and every one resolves.
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# Changesets
Hello and welcome! This folder has been automatically generated by `@changesets/cli`, a build tool that works
with multi-package repos, or single-package repos to help you version and publish your code. You can
find the full documentation for it [in our repository](https://github.com/changesets/changesets).
We have a quick list of common questions to get you started engaging with this project in
[our documentation](https://github.com/changesets/changesets/blob/main/docs/common-questions.md).
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{
"$schema": "https://unpkg.com/@changesets/config@3.1.4/schema.json",
"changelog": [
"@changesets/changelog-github",
{ "repo": "mattpocock/skills" }
],
"commit": false,
"privatePackages": { "version": true, "tag": true },
"fixed": [],
"linked": [],
"access": "restricted",
"baseBranch": "main",
"updateInternalDependencies": "patch",
"ignore": []
}
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---
"mattpocock-skills": minor
---
Reword how the **`prototype`** skill handles its artifacts around a single idea: **the prototype is a primary source**. Rather than being deleted once it's answered its question, the prototype is captured as runnable evidence on a throwaway branch (`prototype/<name>`) out of main, with a context pointer to it left on the implementation issue — so the main branch keeps only the validated decision while the exploration stays findable. The answer (verdict + question) is still captured durably in an issue/ADR/commit.
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{
"name": "mattpocock-skills",
"skills": [
"./skills/engineering/diagnose",
"./skills/engineering/ask-matt",
"./skills/engineering/diagnosing-bugs",
"./skills/engineering/grill-with-docs",
"./skills/engineering/triage",
"./skills/engineering/improve-codebase-architecture",
"./skills/engineering/setup-matt-pocock-skills",
"./skills/engineering/tdd",
"./skills/engineering/to-issues",
"./skills/engineering/to-prd",
"./skills/engineering/zoom-out",
"./skills/engineering/to-spec",
"./skills/engineering/to-tickets",
"./skills/engineering/wayfinder",
"./skills/engineering/implement",
"./skills/engineering/prototype",
"./skills/productivity/caveman",
"./skills/engineering/research",
"./skills/engineering/domain-modeling",
"./skills/engineering/codebase-design",
"./skills/engineering/code-review",
"./skills/productivity/grill-me",
"./skills/productivity/grilling",
"./skills/productivity/handoff",
"./skills/productivity/write-a-skill"
"./skills/productivity/teach",
"./skills/productivity/writing-great-skills"
]
}
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@@ -0,0 +1,37 @@
name: Release
on:
push:
branches:
- main
concurrency: ${{ github.workflow }}-${{ github.ref }}
jobs:
release:
name: Version
runs-on: ubuntu-latest
permissions:
contents: write
pull-requests: write
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: 22
- name: Install dependencies
run: npm ci
- name: Create Version Pull Request
uses: changesets/action@v1
with:
version: npx changeset version
publish: npx changeset tag
commit: "chore: version skills"
title: "chore: version skills"
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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node_modules
@@ -4,7 +4,7 @@
## Why this is out of scope
Every issue-tracker backend hard-codes a CLI shape into the skills (commands, flags, output parsing). Each new backend is permanent maintenance surface — it has to keep working as the tool's CLI evolves, and it has to keep being tested against `/to-prd`, `/to-issues`, `/triage`, and friends. That cost is only worth paying for trackers a meaningful fraction of users actually have.
Every issue-tracker backend hard-codes a CLI shape into the skills (commands, flags, output parsing). Each new backend is permanent maintenance surface — it has to keep working as the tool's CLI evolves, and it has to keep being tested against `/to-spec`, `/to-tickets`, `/triage`, and friends. That cost is only worth paying for trackers a meaningful fraction of users actually have.
"Mainstream" is a judgment call, not a numeric bar:
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# mattpocock-skills
## 1.1.0
### Minor Changes
- [#406](https://github.com/mattpocock/skills/pull/406) [`930a450`](https://github.com/mattpocock/skills/commit/930a450089f77a49af09001d955db8452a4b867d) Thanks [@mattpocock](https://github.com/mattpocock)! - Bring the **`ask-matt`** router up to date with the full skill set. It now maps five skills it was missing: **`tdd`** (woven into the main flow as the red-green engine `implement` drives), **`diagnosing-bugs`** (a new "Something's broken" on-ramp — there was previously no route for a bug), **`domain-modeling`** and **`codebase-design`** (a new "Vocabulary underneath" section), and **`grilling`** (the shared interview primitive). `prototype` is fleshed out as a standalone and the description broadens from "user-invoked skills" to "the skills". A maintenance rule is added to `CLAUDE.md` so any future skill add/rename/remove or flow change triggers an `ask-matt` re-check, beside the existing docs-page re-sync rule.
- [#464](https://github.com/mattpocock/skills/pull/464) [`639df6e`](https://github.com/mattpocock/skills/commit/639df6e7386dfddc739b2aecdeff37a876f2483b) Thanks [@mattpocock](https://github.com/mattpocock)! - Promote and harden **`code-review`**. The in-progress **`review`** skill is renamed to **`code-review`** and moved from `in-progress/` into `engineering/`: it now ships in the plugin, is listed in the top-level and Engineering READMEs (Model-invoked), and has a docs page at `docs/engineering/code-review.md`. The `/implement` skill and docs point at `/code-review`.
It also gains an always-on **Fowler smell baseline** on its Standards axis — a curated ~12 high-signal "Bad Smells in Code" (Mysterious Name, Duplicated Code, Feature Envy, Data Clumps, Primitive Obsession, Repeated Switches, Shotgun Surgery, Divergent Change, Speculative Generality, Message Chains, Middle Man, Refused Bequest) inlined into `SKILL.md` as a fixed baseline alongside whatever the repo documents, not a new third axis. Two binding rules keep it safe: a documented repo standard overrides the baseline, and every smell is reported as a judgement call, never a hard violation.
- [#464](https://github.com/mattpocock/skills/pull/464) [`639df6e`](https://github.com/mattpocock/skills/commit/639df6e7386dfddc739b2aecdeff37a876f2483b) Thanks [@mattpocock](https://github.com/mattpocock)! - Sharpen **`grilling`** on two fronts.
**A confirmation gate.** The agent won't enact the plan until you confirm the shared understanding has been reached — turning the skill's existing "shared understanding" completion criterion into an explicit stop-gate. The `description` also recruits the pretrained **`grill`** leading word ("Grill the user relentlessly") to sharpen invocation, and the docs page is re-synced.
**Facts vs. decisions.** Grilling now splits _facts_ (look them up — explore the codebase) from _decisions_ (put each one to the human and wait for their answer). The old blanket line — "if a question can be answered by exploring the codebase, explore the codebase instead" — was written for the live-human case, but once another skill runs grilling inside a resolve-the-ticket frame it read as license to answer _decisions_ autonomously too. Separating the two keeps a grilling agent from racing ahead and answering its own questions.
- [#463](https://github.com/mattpocock/skills/pull/463) [`af6d692`](https://github.com/mattpocock/skills/commit/af6d6922c3e2b5288eef155346cbe319e4ed3bd0) Thanks [@mattpocock](https://github.com/mattpocock)! - Add two adjacent Steering failure modes to **`writing-great-skills`**, both about how language you think of as "off" still steers the agent. **Negation** — the _elephant_ — is steering by prohibition: naming what _not_ to do drags the forbidden behaviour into context and makes it _more_ available, not less (_don't think of an elephant_), so the cure is to prompt the **positive**. **Negative Space** — the void — is blindness to the steering done by what you leave _out_: every decision a skill declines is delegated to the agent's priors rather than left neutral, so the cure is to read a draft for its silences and decide each omission deliberately (fill it, or leave it open as a real **branch**). Kept as two entries, not one — they carry different diagnostics and different cures — each a full `GLOSSARY.md` entry plus a `SKILL.md` failure-mode bullet, matching how every other failure mode is carried.
- [`850873c`](https://github.com/mattpocock/skills/commit/850873cd73d5f81826ebf512ad35d2b1e113001f) Thanks [@mattpocock](https://github.com/mattpocock)! - Make the **`prototype`** skill model-invoked, so the agent can reach for it autonomously (and other skills can too). Its description is rewritten around the leading word _prototype_ — throwaway code that answers a design question — with one trigger per branch (state/logic sanity-check, or UI exploration).
- [#409](https://github.com/mattpocock/skills/pull/409) [`0d74d01`](https://github.com/mattpocock/skills/commit/0d74d01cbc64ca27778a49b38599f70c534e76a0) Thanks [@mattpocock](https://github.com/mattpocock)! - Add the **`research`** skill — a small, model-invoked skill that spins up a **background agent** to investigate a question against **primary sources** (official docs, source code, specs, first-party APIs), then leaves a single cited Markdown file wherever the repo keeps such notes. It's delegable reading legwork: you keep working while it reads, and get back a document to grill, plan, or design against. Listed in the top-level and Engineering READMEs (Model-invoked), added to `.claude-plugin/plugin.json`, given a docs page at `docs/engineering/research.md`, and routed as a Standalone in `ask-matt`.
- [#469](https://github.com/mattpocock/skills/pull/469) [`a0329ba`](https://github.com/mattpocock/skills/commit/a0329ba95751f58566ed7ab484475917a68f1629) Thanks [@mattpocock](https://github.com/mattpocock)! - Split the **`to-issues`** skill into a lean **Process** and a **Reference** section, and teach it to handle a **wide refactor** — a single mechanical change (like renaming a column) whose **blast radius** fans across the whole codebase, breaking thousands of call sites at once so no vertical slice can land green. The drafting step now points at two co-located reference blocks: the **Vertical slice rules** for ordinary tracer bullets, and **Wide refactors**, which slices the change by **expandcontract** (expand the new form beside the old, migrate call sites in batches sized by blast radius, then contract the old form away) so CI stays green batch to batch — or, when it can't, only at a final integrate-and-verify issue. The issue body template moves into Reference too.
- [#464](https://github.com/mattpocock/skills/pull/464) [`386d4ff`](https://github.com/mattpocock/skills/commit/386d4ff719a7c420ad1454232d0436b01f1b8c17) Thanks [@mattpocock](https://github.com/mattpocock)! - Unify the planning skills. **`to-prd` is renamed to `to-spec`** — "spec" is now the single through-line term (it still opens with "you may know this document as a PRD" for discoverability). **`to-plan` and `to-issues` are merged into one `to-tickets` skill, and `to-issues` is deleted.**
`to-tickets` breaks a plan, spec, or conversation into a set of **tickets** — tracer-bullet vertical slices, each declaring its **blocking edges**. That one artifact reads two ways depending on the tracker `/setup-matt-pocock-skills` configured: a **local file** (`tickets.md`) writes the edges as text and you work it top-to-bottom by hand; a **real tracker** writes them as native blocking links, so any ticket whose blockers are done is on the frontier and several agents can run at once. The edges live in the ticket either way — the medium only decides whether anything acts on them in parallel.
Publishing prefers the tracker's **native sub-issues** for parent → slice and **native blocking edges** for `Blocked by` where the tracker supports them, keeping the `## Parent` / `## Blocked by` body sections as the fallback. The "What to build" template points at where a `/prototype`'s code lives rather than inlining a snippet from it.
`ask-matt`'s main flow now routes `idea → /to-spec → /to-tickets → /implement`, and there are human-facing docs pages at `docs/engineering/to-spec.md` and `docs/engineering/to-tickets.md`.
- [#464](https://github.com/mattpocock/skills/pull/464) [`0557d57`](https://github.com/mattpocock/skills/commit/0557d57579d9b3d39839fdaf8d4a6542b17539ce) Thanks [@mattpocock](https://github.com/mattpocock)! - Settle wayfinder's place in the docs as a **situational on-ramp**, not the new main entry flow — the grill-led _idea → ship_ chain stays the front door (crowning wayfinder as the default spine is a v2-sized move, not a 1.1). The **`ask-matt`** router now names wayfinder's concrete triggers — a greenfield project or a huge feature build, too big for one session — and the two grill front doors (**`grill-me`**, **`grill-with-docs`**) signpost _up_ to wayfinder for the effort that's too big to hold in one session, so the on-ramp is discoverable from where a reader actually starts.
- [#464](https://github.com/mattpocock/skills/pull/464) [`639df6e`](https://github.com/mattpocock/skills/commit/639df6e7386dfddc739b2aecdeff37a876f2483b) Thanks [@mattpocock](https://github.com/mattpocock)! - Graduate and reframe **`wayfinder`** — the skill for planning a huge chunk of work, more than one agent session can hold. It moves out of `in-progress/` into `engineering/` (plugin entry, top-level + Engineering READMEs under **User-invoked**, a docs page at `docs/engineering/wayfinder.md`, and a route in `ask-matt`), landing as a mature skill. The rename and reframe that got it there:
- **`decision-mapping` is renamed to `wayfinder`**, invoked as `/wayfinder`. "Decision map" was jargony and inaccurate — only one ticket type is actually a decision. The reframe charts a route through a foggy problem instead, giving one coherent leading-word frame — **fog of war**, **frontier**, **the map** — rather than an invented term layered on top.
- **Destination as the leading word.** Wayfinding finds the _way_ to a destination; it doesn't charge at building it. Naming the destination is the first act of charting — it fixes the scope and shapes every ticket — so the map gains a `## Destination` field every session orients to, and triage pins it before any ticket exists.
- **Plan, don't do.** The map produces **decisions, not deliverables**; it's done when nothing is left to decide before someone builds the thing. An effort can override this in its Notes.
- **The map is an index, not a store.** A decision lives in exactly one place — its ticket — so the map only gists and links, never restates; graduating fog into a ticket clears the graduated patch so nothing lingers in two places.
- **Collaborative by default.** The map moves off a local Markdown file onto the repo's issue tracker: a single `wayfinder:map` issue whose tickets are its child issues — one shared URL the team can watch. Sessions load the map at low resolution and zoom into tickets on demand. Wayfinder stays tracker-agnostic (GitHub, GitLab, local-markdown) behind a pointer in `docs/agents/issue-tracker.md`, and `setup-matt-pocock-skills` seeds the "Wayfinding operations" section.
- **Claim by assignment, not a label.** A session claims a ticket by assigning it to the driving dev — the assignee _is_ the claim — freeing the label vocabulary to `wayfinder:<type>` alone.
- **Native blocking.** Blocking prefers the tracker's native dependency relationship, which renders the frontier visually in the tracker's own UI so the human sees what's takeable without opening the map. GitHub and GitLab templates spell out the native recipe, with a body-convention fallback.
- **Fog vs. out of scope, split.** Two plainly-named map sections — `## Not yet specified` (in-scope fog that graduates as the frontier advances) and `## Out of scope` (work ruled beyond the destination, closed, never graduating) — so beyond-destination work no longer reads as takeable frontier.
- **A fourth `task` ticket type.** For literal manual work that blocks a decision (provisioning access, moving data, signing up for a service) — the one type that _does_ rather than decides, earning its place by unblocking a decision.
- **HITL / AFK ticket classification.** Every ticket type is **HITL** (human in the loop — grilling, prototype) or **AFK** (agent alone — research; task is either). A HITL ticket only resolves through the live exchange, so "wait for the human" falls out of the label — a grilling agent that answers its own questions has, by definition, broken HITL. (This fixes students' reports of `/wayfinder` grilling _itself_ instead of the human.)
- **No-fog early exit restored.** If the opening breadth-first grilling surfaces no fog, the journey is small enough for one session — so it stops and asks how you'd like to proceed rather than building a map nobody needs.
### Patch Changes
- [#464](https://github.com/mattpocock/skills/pull/464) [`639df6e`](https://github.com/mattpocock/skills/commit/639df6e7386dfddc739b2aecdeff37a876f2483b) Thanks [@mattpocock](https://github.com/mattpocock)! - Reshape **`tdd`** into a reference-only skill and add a missing anti-pattern.
**Reference-only.** The red → green → refactor loop is anchored by leading words the model already holds, so the step-by-step Workflow was largely restating the loop. Dropped the Workflow and per-cycle checklist; folded their one durable idea — vertical slices / tracer bullets — into the Anti-patterns section and a short Rules-of-the-loop list. Introduced **seam** as the leading word for where tests go: test only at pre-agreed seams, confirmed with the user before any test is written. Also dropped the refactor stage — TDD is now red → green; refactoring belongs to the review stage, so the refactor rule and `refactoring.md` moved out (its home is `code-review`).
**Tautological tests.** Added the tautological-test anti-pattern: a test whose assertion is recomputed the way the code computes it passes by construction and gives zero confidence — distinct from the implementation-coupling anti-pattern already covered. Added as a peer at the same sites: a Philosophy principle (expected values must come from an independent source of truth), a checklist gate, and a BAD/GOOD example pair in `tests.md`.
- [`e00eadb`](https://github.com/mattpocock/skills/commit/e00eadb4bb32c3d5a631ead1a5ed5d6a7c5f74e2) Thanks [@mattpocock](https://github.com/mattpocock)! - Extend the **`triage`** skill to triage external pull requests, treating a PR as an issue with attached code that runs through the same roles and state machine. PRs flow inline alongside issues (gated by a per-repo setup toggle), discovery surfaces only external PRs, the bug-only "reproduce" step is generalized into a single "verify the claim" step, and a redundancy check resolves already-implemented requests to `wontfix` without polluting the out-of-scope knowledge base. `setup-matt-pocock-skills` gains the PRs-as-a-request-surface toggle for GitHub/GitLab.
- [#472](https://github.com/mattpocock/skills/pull/472) [`d869d45`](https://github.com/mattpocock/skills/commit/d869d45afc32beab1c2d1350f8de5e81589512cd) Thanks [@mattpocock](https://github.com/mattpocock)! - Fix **`wayfinder`** hardcoding the issue-tracker doc path, which broke the indirection the rest of the suite relies on.
`to-issues`, `to-prd`, and `triage` never name a path — they resolve the tracker through the `### Issue tracker` block that `setup-matt-pocock-skills` writes into `CLAUDE.md` / `AGENTS.md`, which points at the tracker doc wherever it lives. Wayfinder instead pinned the literal `docs/agents/issue-tracker.md`, so in a repo that keeps its agent docs elsewhere it silently fell back to the local-markdown tracker — even one whose `CLAUDE.md` clearly declares GitHub issues. It now resolves the doc via that same pointer and reads its "Wayfinding operations" section by name, keeping the indirection consistent across the suite.
## 1.0.1
### Patch Changes
- [`d20ee26`](https://github.com/mattpocock/skills/commit/d20ee2684e2a9442698ac3c1e0f2c5b68c4cf296) Thanks [@mattpocock](https://github.com/mattpocock)! - Make the **`teach`** skill reuse-first. Lessons are now built from reusable **components** in `./assets/` — stylesheets, quiz widgets, simulators, diagram helpers. Reuse is the default: the agent reads `./assets/` before authoring a lesson, builds from what's there, and extracts anything new and reusable into a component rather than inlining it.
## 1.0.0
### Major Changes
- [`47bde84`](https://github.com/mattpocock/skills/commit/47bde84da032afb2e5058f997f3bbca47d321dbd) Thanks [@mattpocock](https://github.com/mattpocock)! - Add the **`ask-matt`** skill — a user-invoked router that points you at the right skill or flow for your situation.
**Breaking:** `ask-matt` routes over the other user-invoked skills in this repo, so it expects them to be installed.
- [`47bde84`](https://github.com/mattpocock/skills/commit/47bde84da032afb2e5058f997f3bbca47d321dbd) Thanks [@mattpocock](https://github.com/mattpocock)! - Add the shared design skills and rewire existing skills onto them.
- New **`codebase-design`** skill — the deep-module vocabulary (module, interface, depth, seam, adapter) and the principles for putting a lot of behaviour behind a small interface. The language that previously lived in `improve-codebase-architecture/LANGUAGE.md` now lives here, generalized for reuse across skills.
- New **`domain-modeling`** skill — actively build and sharpen a project's domain model, stress-testing terms against the glossary and keeping `CONTEXT.md` and ADRs current.
- `improve-codebase-architecture` now draws its architecture vocabulary from `/codebase-design` and its domain model from `/domain-modeling`.
- `tdd` now leans on `/codebase-design` for interface-design guidance — its inline `deep-modules.md` / `interface-design.md` notes were removed in favour of the shared skill.
- `grill-with-docs` now builds the domain model inline via `/domain-modeling`.
**Breaking:** these skills now depend on the new `codebase-design` / `domain-modeling` skills, so you must install them too.
- [`47bde84`](https://github.com/mattpocock/skills/commit/47bde84da032afb2e5058f997f3bbca47d321dbd) Thanks [@mattpocock](https://github.com/mattpocock)! - Remove the **`caveman`** and **`zoom-out`** skills.
- `caveman` was a duplicate of another skill I was testing and was never meant to be public.
- `zoom-out` went unused in practice, so it's been removed from the repo.
**Breaking:** both skills have been removed.
- [`47bde84`](https://github.com/mattpocock/skills/commit/47bde84da032afb2e5058f997f3bbca47d321dbd) Thanks [@mattpocock](https://github.com/mattpocock)! - Rename the **`diagnose`** skill to **`diagnosing-bugs`**.
**Breaking:** invoke it as `/diagnosing-bugs` — the old `/diagnose` name no longer exists.
- [`47bde84`](https://github.com/mattpocock/skills/commit/47bde84da032afb2e5058f997f3bbca47d321dbd) Thanks [@mattpocock](https://github.com/mattpocock)! - Replace **`write-a-skill`** with **`writing-great-skills`**.
- Removed `write-a-skill`.
- Added `writing-great-skills` (plus its `GLOSSARY.md`) — a reference for writing and editing skills well: the vocabulary and principles that make a skill predictable, hunting no-ops down to the sentence level.
- Exposed `grilling` as a model-invoked skill — the reusable interview loop behind `grill-me` and `grill-with-docs`.
**Breaking:** `write-a-skill` has been removed; use `writing-great-skills` instead.
### Minor Changes
- [`47bde84`](https://github.com/mattpocock/skills/commit/47bde84da032afb2e5058f997f3bbca47d321dbd) Thanks [@mattpocock](https://github.com/mattpocock)! - Add the **`resolving-merge-conflicts`** skill — a loop for resolving an in-progress git merge or rebase conflict. Standalone, with no dependencies on other skills.
- [`47bde84`](https://github.com/mattpocock/skills/commit/47bde84da032afb2e5058f997f3bbca47d321dbd) Thanks [@mattpocock](https://github.com/mattpocock)! - Rename the skill taxonomy from **Commands / Skills** to **User-invoked / Model-invoked** across the docs, and add `docs/invocation.md` defining the split: user-invoked skills are reachable only when you type them and exist to orchestrate; model-invoked skills can also be reached automatically when the task fits. A user-invoked skill may invoke model-invoked skills, but never another user-invoked one.
### Patch Changes
- [`47bde84`](https://github.com/mattpocock/skills/commit/47bde84da032afb2e5058f997f3bbca47d321dbd) Thanks [@mattpocock](https://github.com/mattpocock)! - Tighten the **`review`** skill: fail-fast ref check, single-sourced rules, and no-op cuts.
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@@ -2,13 +2,21 @@ Skills are organized into bucket folders under `skills/`:
- `engineering/` — daily code work
- `productivity/` — daily non-code workflow tools
- `misc/` — kept around but rarely used
- `misc/` — kept around but rarely used, not promoted
- `personal/` — tied to my own setup, not promoted
- `in-progress/` — drafts not yet ready to ship
- `deprecated/` — no longer used
Every skill in `engineering/`, `productivity/`, or `misc/` must have a reference in the top-level `README.md` and an entry in `.claude-plugin/plugin.json`. Skills in `personal/`, `in-progress/`, and `deprecated/` must not appear in either.
Every skill in `engineering/` or `productivity/` (the **promoted** buckets) must have a reference in the top-level `README.md` and an entry in `.claude-plugin/plugin.json`. Skills in `misc/`, `personal/`, `in-progress/`, and `deprecated/` must not appear in either.
Each skill entry in the top-level `README.md` must link the skill name to its `SKILL.md`.
Each bucket folder has a `README.md` that lists every skill in the bucket with a one-line description, with the skill name linked to its `SKILL.md`.
Each bucket folder has a `README.md` that lists every skill in the bucket with a one-line description, with the skill name linked to its `SKILL.md`. The promoted buckets' `README.md`s and the top-level `README.md` group entries into **User-invoked** and **Model-invoked**; non-promoted bucket `README.md`s (`misc/`, `personal/`) use a flat list.
Skills in `engineering/` and `productivity/` also have a human-facing docs page at `docs/<bucket>/<skill-name>.md` (the docs tree mirrors those two bucket folders under `skills/`). The published URL is `https://aihero.dev/skills-<skill-name>` regardless of bucket — the docs path is repo organisation only. When you add, rename, or change the behaviour of a skill in `engineering/` or `productivity/`, create or re-sync its docs page following [.agents/writing-docs.md](./.agents/writing-docs.md). Skills in the non-promoted buckets (`misc/`, `personal/`, `in-progress/`, `deprecated/`) get **no** docs page.
Every `SKILL.md` is either user-invoked (`disable-model-invocation: true`, reachable only by the human) or model-invoked (model- or user-reachable). See [.agents/invocation.md](./.agents/invocation.md).
[`ask-matt`](./skills/engineering/ask-matt/SKILL.md) is the router that maps every user-reachable skill and how they relate. The same trigger that re-syncs a docs page applies to it: whenever you add, rename, remove, or change how a user-reachable skill fits the flows, re-read `ask-matt`'s `SKILL.md` and update it so the map stays accurate — a new skill it never mentions, or a stale one it still routes to, is a router that lies.
To (re)link every skill into the local harness skill directories (`~/.claude/skills`, `~/.agents/skills`), run `scripts/link-skills.sh`. Each entry is a symlink into this repo, so a `git pull` keeps installed skills current; re-run the script after adding, removing, or renaming a skill.
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@@ -5,11 +5,11 @@ A collection of agent skills (slash commands and behaviors) loaded by Claude Cod
## Language
**Issue tracker**:
The tool that hosts a repo's issues — GitHub Issues, Linear, a local `.scratch/` markdown convention, or similar. Skills like `to-issues`, `to-prd`, `triage`, and `qa` read from and write to it.
The tool that hosts a repo's issues — GitHub Issues, Linear, a local `.scratch/` markdown convention, or similar. Skills like `to-tickets`, `to-spec`, `triage`, and `qa` read from and write to it.
_Avoid_: backlog manager, backlog backend, issue host
**Issue**:
A single tracked unit of work inside an **Issue tracker** — a bug, task, PRD, or slice produced by `to-issues`.
A single tracked unit of work inside an **Issue tracker** — a bug, task, spec, or slice produced by `to-tickets`.
_Avoid_: ticket (use only when quoting external systems that call them tickets)
**Triage role**:
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@@ -113,7 +113,7 @@ For automated tests, a red-green-refactor loop is critical. This is where the ag
I've built a **[`/tdd`](./skills/engineering/tdd/SKILL.md) skill** you can slot into any project. It encourages red-green-refactor and gives the agent plenty of guidance on what makes good and bad tests.
For debugging, I've also built a **[`/diagnose`](./skills/engineering/diagnose/SKILL.md)** skill that wraps best debugging practices into a simple loop.
For debugging, I've also built a **[`/diagnosing-bugs`](./skills/engineering/diagnosing-bugs/SKILL.md)** skill that wraps best debugging practices into a simple loop.
### #4: We Built A Ball Of Mud
@@ -131,8 +131,7 @@ For debugging, I've also built a **[`/diagnose`](./skills/engineering/diagnose/S
This is built in to every layer of these skills:
- [`/to-prd`](./skills/engineering/to-prd/SKILL.md) quizzes you about which modules you're touching before creating a PRD
- [`/zoom-out`](./skills/engineering/zoom-out/SKILL.md) tells the agent to explain code in the context of the whole system
- [`/to-spec`](./skills/engineering/to-spec/SKILL.md) quizzes you about which modules you're touching before creating a spec
And crucially, [`/improve-codebase-architecture`](./skills/engineering/improve-codebase-architecture/SKILL.md) helps you rescue a codebase that has become a ball of mud. I recommend running it on your codebase once every few days.
@@ -142,35 +141,45 @@ Software engineering fundamentals matter more than ever. These skills are my bes
## Reference
These split on one axis — who can invoke them. **User-invoked** skills are reachable only when you type them (e.g. `/grill-me`); their job is to orchestrate. **Model-invoked** skills can be invoked by you _or_ reached for automatically by the agent when the task fits; they hold the reusable discipline. A user-invoked skill may invoke model-invoked skills, but never another user-invoked one.
### Engineering
Skills I use daily for code work.
- **[diagnose](./skills/engineering/diagnose/SKILL.md)** — Disciplined diagnosis loop for hard bugs and performance regressions: reproduce → minimise → hypothesise → instrument → fix → regression-test.
- **[grill-with-docs](./skills/engineering/grill-with-docs/SKILL.md)** — Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates `CONTEXT.md` and ADRs inline.
- **[triage](./skills/engineering/triage/SKILL.md)** — Triage issues through a state machine of triage roles.
- **[improve-codebase-architecture](./skills/engineering/improve-codebase-architecture/SKILL.md)** — Find deepening opportunities in a codebase, informed by the domain language in `CONTEXT.md` and the decisions in `docs/adr/`.
- **[setup-matt-pocock-skills](./skills/engineering/setup-matt-pocock-skills/SKILL.md)** — Scaffold the per-repo config (issue tracker, triage label vocabulary, domain doc layout) that the other engineering skills consume. Run once per repo before using `to-issues`, `to-prd`, `triage`, `diagnose`, `tdd`, `improve-codebase-architecture`, or `zoom-out`.
**User-invoked**
- **[ask-matt](./skills/engineering/ask-matt/SKILL.md)** — Ask which skill or flow fits your situation. A router over the user-invoked skills in this repo.
- **[grill-with-docs](./skills/engineering/grill-with-docs/SKILL.md)** — Grilling session that also builds your project's domain model, sharpening terminology and updating `CONTEXT.md` and ADRs inline.
- **[triage](./skills/engineering/triage/SKILL.md)** — Move issues through a state machine of triage roles.
- **[improve-codebase-architecture](./skills/engineering/improve-codebase-architecture/SKILL.md)** — Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
- **[setup-matt-pocock-skills](./skills/engineering/setup-matt-pocock-skills/SKILL.md)** — Configure this repo for the engineering skills (issue tracker, triage labels, domain doc layout). Run once per repo before using the other engineering skills.
- **[to-spec](./skills/engineering/to-spec/SKILL.md)** — Turn the current conversation into a spec and publish it to the issue tracker. No interview — just synthesizes what you've already discussed.
- **[to-tickets](./skills/engineering/to-tickets/SKILL.md)** — Break any plan, spec, or conversation into a set of tracer-bullet tickets, each declaring its blocking edges — written as text in a local file, or as native blocking links on a real tracker.
- **[implement](./skills/engineering/implement/SKILL.md)** — Build the work described by a spec or set of tickets, driving `/tdd` at pre-agreed seams and closing out with `/code-review` before committing.
- **[wayfinder](./skills/engineering/wayfinder/SKILL.md)** — Plan a huge chunk of work, more than one agent session can hold, as a shared map of investigation tickets on the issue tracker — resolve them one at a time until the way to the destination is clear.
**Model-invoked**
- **[prototype](./skills/engineering/prototype/SKILL.md)** — Build a throwaway prototype to answer a design question — a runnable terminal app for state/logic questions, or several radically different UI variations toggleable from one route.
- **[diagnosing-bugs](./skills/engineering/diagnosing-bugs/SKILL.md)** — Disciplined diagnosis loop for hard bugs and performance regressions: reproduce → minimise → hypothesise → instrument → fix → regression-test.
- **[research](./skills/engineering/research/SKILL.md)** — Investigate a question against high-trust primary sources and capture the findings as a cited Markdown file in the repo, run as a background agent.
- **[tdd](./skills/engineering/tdd/SKILL.md)** — Test-driven development with a red-green-refactor loop. Builds features or fixes bugs one vertical slice at a time.
- **[to-issues](./skills/engineering/to-issues/SKILL.md)** — Break any plan, spec, or PRD into independently-grabbable GitHub issues using vertical slices.
- **[to-prd](./skills/engineering/to-prd/SKILL.md)** — Turn the current conversation context into a PRD and submit it as a GitHub issue. No interview — just synthesizes what you've already discussed.
- **[zoom-out](./skills/engineering/zoom-out/SKILL.md)** — Tell the agent to zoom out and give broader context or a higher-level perspective on an unfamiliar section of code.
- **[prototype](./skills/engineering/prototype/SKILL.md)** — Build a throwaway prototype to flesh out a design — either a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
- **[domain-modeling](./skills/engineering/domain-modeling/SKILL.md)** — Actively build and sharpen a project's domain model — challenge terms against the glossary, stress-test with edge-case scenarios, and update `CONTEXT.md` and ADRs inline.
- **[codebase-design](./skills/engineering/codebase-design/SKILL.md)** — Shared discipline and vocabulary for designing deep modules: a lot of behaviour behind a small interface, placed at a clean seam, testable through that interface.
- **[code-review](./skills/engineering/code-review/SKILL.md)** — Two-axis review of the diff since a fixed point: **Standards** (does it follow the repo's coding standards, plus a Fowler smell baseline?) and **Spec** (does it faithfully implement the originating issue/PRD?), run as parallel sub-agents so neither pollutes the other.
### Productivity
General workflow tools, not code-specific.
- **[caveman](./skills/productivity/caveman/SKILL.md)** — Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler while keeping full technical accuracy.
**User-invoked**
- **[grill-me](./skills/productivity/grill-me/SKILL.md)** — Get relentlessly interviewed about a plan or design until every branch of the decision tree is resolved.
- **[handoff](./skills/productivity/handoff/SKILL.md)** — Compact the current conversation into a handoff document so another agent can continue the work.
- **[write-a-skill](./skills/productivity/write-a-skill/SKILL.md)** — Create new skills with proper structure, progressive disclosure, and bundled resources.
- **[teach](./skills/productivity/teach/SKILL.md)** — Teach the user a new skill or concept over multiple sessions, using the current directory as a stateful teaching workspace.
- **[writing-great-skills](./skills/productivity/writing-great-skills/SKILL.md)** — Reference for writing and editing skills well: the vocabulary and principles that make a skill predictable.
### Misc
**Model-invoked**
Tools I keep around but rarely use.
- **[git-guardrails-claude-code](./skills/misc/git-guardrails-claude-code/SKILL.md)** — Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, etc.) before they execute.
- **[migrate-to-shoehorn](./skills/misc/migrate-to-shoehorn/SKILL.md)** — Migrate test files from `as` type assertions to @total-typescript/shoehorn.
- **[scaffold-exercises](./skills/misc/scaffold-exercises/SKILL.md)** — Create exercise directory structures with sections, problems, solutions, and explainers.
- **[setup-pre-commit](./skills/misc/setup-pre-commit/SKILL.md)** — Set up Husky pre-commit hooks with lint-staged, Prettier, type checking, and tests.
- **[grilling](./skills/productivity/grilling/SKILL.md)** — Interview the user relentlessly about a plan or design until every branch of the decision tree is resolved. The reusable loop behind `grill-me` and `grill-with-docs`.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=ask-matt
```
```bash
npx skills update ask-matt
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/ask-matt)
## What it does
`ask-matt` is the router over the skills in this repo. You describe the situation you're in; it tells you which skill or flow fits and in what order to run them.
It **does no work itself**. It doesn't grill, write a spec, or fix anything — it only orients. It exists for the **user-invoked** skills above all: nothing fires those for you, so *you* have to remember they exist, and `ask-matt` is the memory you offload that to. It also points at the model-invoked skills you'd reach for by name — `/tdd`, `/diagnosing-bugs`, `/prototype`, `/code-review`, and the two vocabulary references, `/domain-modeling` and `/codebase-design`. It answers "which one, and when", then hands you off to the skill that actually does the job.
## When to reach for it
You invoke this by typing `/ask-matt` — the agent won't reach for it on its own.
Reach for it whenever you're unsure which skill or flow a situation calls for: you have an idea and don't know where to start, a pile of bug reports and don't know if they're for `/triage`, or two skills that look interchangeable and you can't tell them apart. If you already know the skill you want, skip the router and invoke it directly.
## Flows, not just skills
The idea `ask-matt` gives you to think with is the **flow** — a path *through* the skills rather than a single one. Most work runs along one **main flow** (idea → ship: grill → spec → tickets → implement → review), two **on-ramps** merge onto it (a triage lane for incoming bugs and requests; a codebase-health lane that generates ideas), and everything else is a **standalone** you reach for on its own. Ask a question and you get placed on the right flow, at the right step — not just handed a tool.
## Where it fits
`ask-matt` is the **router** — the standalone map that sits over the whole set. It is the node every other docs page links back to as [ask-matt](https://aihero.dev/skills-ask-matt), so it never sits *in* a chain; it points *into* every chain. From here you'll most often land on [grill-with-docs](https://aihero.dev/skills-grill-with-docs), the head of the main flow, or [triage](https://aihero.dev/skills-triage), the on-ramp for work you didn't create. When even the router's own picture is stale, its [Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/ask-matt) is the map of record.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=code-review
```
```bash
npx skills update code-review
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/code-review)
## What it does
`code-review` reviews the diff between `HEAD` and a fixed point you supply — a commit, branch, tag, or merge-base — along two separate axes: **Standards** (does the code follow this repo's documented conventions?) and **Spec** (does it implement what the originating issue or spec asked for?). It runs each axis as its own parallel sub-agent and reports them side by side. It never merges or re-ranks the two sets of findings — keeping them separate is the whole point, because a change can pass one axis and fail the other, and a single blended verdict lets one mask the other.
## When to reach for it
Type `/code-review`, or the agent reaches for it automatically when you ask to review a branch, a PR, work-in-progress changes, or anything "since X".
Reach for this when there is a diff to judge against a known-good point and you want the two questions — *is it built right?* and *is it the right thing?* — answered independently. It runs at the end of the build loop; for actually writing the code test-first, use [tdd](https://aihero.dev/skills-tdd), and for building a whole spec into code use [implement](https://aihero.dev/skills-implement), which runs its own `/code-review` pass before committing.
## Prerequisites
The **Spec** axis needs somewhere to find the originating spec — an issue reference in the commit messages, a path you pass in, or a spec under `docs/`/`specs/`. That issue-tracker wiring comes from [setup-matt-pocock-skills](https://aihero.dev/skills-setup-matt-pocock-skills); without a spec the Spec axis simply skips and says so. The **Standards** axis needs nothing set up — it always carries a built-in Fowler smell baseline even in a repo that documents no conventions.
## Two axes, never merged
The defining idea is the **two axes**. **Standards** asks whether the diff conforms to how this repo writes code — its `CODING_STANDARDS.md` or `CONTRIBUTING.md`, plus a fixed baseline of ~12 Fowler code smells (Mysterious Name, Duplicated Code, Feature Envy, Data Clumps, …). Two rules keep the baseline safe: a documented repo standard always overrides it, and every smell is a judgement call, never a hard violation. **Spec** asks the orthogonal question — does the code do what the issue or spec actually asked, without missing requirements or smuggling in scope creep?
They run as parallel sub-agents so neither pollutes the other's context, and the final report presents them under separate `## Standards` and `## Spec` headings with a per-axis summary. There is deliberately no single winner across axes.
## It's working if
- It pins and confirms the fixed point first (`git rev-parse`), failing fast on a bad ref or empty diff rather than inside the sub-agents.
- Standards and Spec findings arrive in two distinct blocks, each citing its source — a repo standard or baseline smell for one, a quoted spec line for the other.
- When no spec can be found, the Spec axis reports "no spec available" instead of inventing requirements.
## Where it fits
`code-review` is the review step at the tail of the main build chain:
```txt
grill-with-docs → to-spec → to-tickets → implement → code-review
```
Its closest neighbour is [implement](https://aihero.dev/skills-implement), which drives the build and calls this as its own review pass before committing; upstream, the spec it checks against is produced by [to-spec](https://aihero.dev/skills-to-spec) and [to-tickets](https://aihero.dev/skills-to-tickets). When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=codebase-design
```
```bash
npx skills update codebase-design
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/codebase-design)
## What it does
`codebase-design` gives you a shared, precise vocabulary for designing **deep modules** — a lot of behaviour hidden behind a small interface, placed at a clean seam, testable through that interface.
It is a **language, not a procedure**. It doesn't restructure your code or hand you a refactor plan — it fixes the words (module, interface, depth, seam, adapter, leverage, locality) so that every design conversation and every other skill that touches design speaks the same way. Consistent language is the whole point; "component," "service," "API," and "boundary" are deliberately banned because they blur the distinctions that matter.
## When to reach for it
Type `/codebase-design`, or the agent reaches for it automatically when a task fits.
Reach for it when you're designing or improving a module's interface, hunting for deepening opportunities, deciding where a seam goes, or making code more testable and AI-navigable. Other skills pull it in whenever they need the deep-module vocabulary. If you want to sharpen the project's *domain* terms rather than its module design, use [domain-modeling](https://aihero.dev/skills-domain-modeling) instead; to run a whole architecture pass over an existing codebase, use [improve-codebase-architecture](https://aihero.dev/skills-improve-codebase-architecture).
## Deep, not shallow
A module is **deep** when a large amount of behaviour sits behind a small interface, and **shallow** when the interface is nearly as complex as the implementation. Depth is measured as **leverage** — how much a caller (or a test) can exercise per unit of interface they have to learn. Crucially, depth is a property of the *interface*, not the implementation: a deep module can be internally composed of small, swappable parts that just never surface to callers.
Two checks do most of the work. The **deletion test**: imagine deleting the module — if complexity vanishes, it was a pass-through; if it reappears across N callers, it was earning its keep. And **one adapter means a hypothetical seam; two adapters means a real one** — don't cut a seam until something actually varies across it.
## The interface is the test surface
Callers and tests cross the same seam, so a well-placed interface gives tests something durable to aim at while the code underneath moves freely. That's why the vocabulary insists on **seam** (Feathers' term — a place you can change behaviour without editing there) over the overloaded "boundary," and why "interface" here means *every fact a caller must know*: signatures, yes, but also invariants, ordering, error modes, and performance — not just the type-level surface.
## Pulled out on purpose
`codebase-design` is the **single source of truth** for the deep-module vocabulary, split out as its own model-invoked skill so anything can reach it. Other skills point at it rather than restating the words: [tdd](https://aihero.dev/skills-tdd) borrows it to place a seam before writing the test, [improve-codebase-architecture](https://aihero.dev/skills-improve-codebase-architecture) leans on it while restructuring existing code, and [to-spec](https://aihero.dev/skills-to-spec) speaks it when it sketches seams and deepening opportunities before writing a spec.
The point of keeping it standalone is that you can also reach for it on its own — as a **reference** for how to think about module design — without triggering the larger process any of those skills mandate. Fix the words once, in one place, and every design conversation inherits them.
## Where it fits
`codebase-design` is a **reach-for-it-anytime standalone** — the shared vocabulary layer under the engineering skills. Its closest neighbour is [domain-modeling](https://aihero.dev/skills-domain-modeling), the parallel vocabulary skill for the problem domain rather than the module structure. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=diagnosing-bugs
```
```bash
npx skills update diagnosing-bugs
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/diagnosing-bugs)
## What it does
`diagnosing-bugs` runs a disciplined diagnosis loop for hard bugs and performance regressions — building a repro, minimising it, ranking hypotheses, instrumenting, then fixing with a regression test.
It refuses to hypothesise before you have a **tight feedback loop** — one runnable command that already goes red on *this* bug. Reading code to build a theory before that command exists is the exact failure this skill prevents. No red-capable loop, no diagnosis.
## When to reach for it
Type `/diagnosing-bugs`, or the agent reaches for it automatically when a task fits — it fires on "diagnose" / "debug this", or when you report something broken, throwing, failing, or slow.
Reach for it on the hard ones: the bug that resists a first glance, the intermittent flake, the regression that crept in between two known-good states. For a quick throwaway to sanity-check a design question rather than chase a defect, use [prototype](https://aihero.dev/skills-prototype) instead.
## The tight loop is the skill
Everything else — bisection, hypothesis-testing, instrumentation — is mechanical once you have the signal. So the skill spends disproportionate effort on Phase 1: constructing a pass/fail command that drives the actual bug code path and asserts the user's exact symptom, then **tightening** it until it is fast, deterministic, and agent-runnable. A 30-second flaky loop is barely better than none; a 2-second deterministic one is a debugging superpower.
It gives you a ladder of ways to build that loop — failing test, curl script, CLI diff, headless browser, replayed trace, throwaway harness, fuzz loop, `git bisect run`, differential run — and, only as a last resort, a human-in-the-loop bash script. For non-deterministic bugs the goal isn't a clean repro but a **higher reproduction rate**: loop the trigger, parallelise, add stress until the flake is debuggable.
## It's working if
- It builds and runs a repro command *before* theorising — and pastes the invocation and its red output.
- The loop asserts the symptom you actually reported, not a nearby failure.
- Hypotheses arrive as a ranked, falsifiable list shown to you before any are tested.
- Debug instrumentation is tagged (`[DEBUG-...]`) and grepped away before it declares done.
## Where it fits
`diagnosing-bugs` is a reach-for-it-anytime standalone — you drop into it the moment something is broken, and drop out once the fix and its regression test are in. Its post-mortem hands off to [improve-codebase-architecture](https://aihero.dev/skills-improve-codebase-architecture) when the real finding is that there's no good seam to lock the bug down — the code, not the bug, is the problem. When you're unsure which skill fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=domain-modeling
```
```bash
npx skills update domain-modeling
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/domain-modeling)
## What it does
`domain-modeling` builds and sharpens a project's **ubiquitous language** as you design — challenging fuzzy terms, stress-testing relationships with concrete scenarios, and writing the glossary and decisions down the moment they crystallise.
This is the **active** discipline, not the passive one. Merely reading `CONTEXT.md` to borrow its vocabulary is a one-line habit any skill can do; this skill is for when you are *changing* the model — coining a canonical term, catching a contradiction between the code and what you just said, recording a hard-to-reverse decision. And it keeps the glossary clean: `CONTEXT.md` is a glossary and nothing else — no implementation details, no spec, no scratch pad.
## When to reach for it
Type `/domain-modeling`, or the agent reaches for it automatically when a task fits — when you are pinning down terminology, resolving an overloaded word, or recording an architectural decision.
Reach for it when the *words* are the problem: two people mean different things by "cancellation", "account" is doing three jobs, or a design conversation keeps snagging on a concept that has never been named precisely. If instead the module's *shape* is the problem — where the seam goes, how deep the interface is — use [codebase-design](https://aihero.dev/skills-codebase-design). If you want the plan itself interrogated before you build, use [grilling](https://aihero.dev/skills-grilling).
## Prerequisites
The skill writes into two places, both created lazily — only once there is something to record. Resolved terms go into `CONTEXT.md` at the root (or, in a multi-context repo flagged by a `CONTEXT-MAP.md`, into the per-context `CONTEXT.md`). Decisions go into `docs/adr/`. Nothing needs to exist up front; the first resolved term creates the glossary, the first real trade-off creates the ADR.
## Glossary vs. ADR
Two artifacts, two different bars:
- **The glossary** (`CONTEXT.md`) captures language. Every time a vague term is made canonical, it's written down inline — not batched — so the shared vocabulary stays current with the conversation. It stays ruthlessly free of implementation detail.
- **An ADR** captures a decision, and the bar is high: offered only when the choice is **hard to reverse**, **surprising without context**, and **the result of a real trade-off**. Miss any one of the three and there is no ADR. This is what keeps `docs/adr/` a record of consequential forks rather than a diary.
The move that makes it click: when you state how something works, the skill cross-references the code and surfaces the contradiction — "your code cancels entire Orders, but you just said partial cancellation is possible — which is right?" The language and the code are forced to agree.
## Pulled out on purpose
`domain-modeling` is the **single source of truth** for building the project's ubiquitous language, split out as its own model-invoked skill so any other skill can reach it. [grill-with-docs](https://aihero.dev/skills-grill-with-docs) leans on it to record terms and decisions as a grilling session runs, [triage](https://aihero.dev/skills-triage) uses it to keep tickets in the project's own words, and [improve-codebase-architecture](https://aihero.dev/skills-improve-codebase-architecture) reaches for it while it works.
Keeping it standalone means you can also reach for it directly — as a **reference** for how to sharpen a model — without committing to the steps any of those skills mandate. The language lives in one place, and everything that needs it points there.
## Where it fits
`domain-modeling` is a **reach-for-it-anytime standalone** that runs *underneath* other skills as often as at a fixed step. Its closest neighbour is [codebase-design](https://aihero.dev/skills-codebase-design), because a shared language is what lets you name a deep module and its seam precisely; downstream, a settled glossary is exactly what [to-spec](https://aihero.dev/skills-to-spec) synthesises into a spec written in the project's own words. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=grill-with-docs
```
```bash
npx skills update grill-with-docs
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/grill-with-docs)
## What it does
`grill-with-docs` interviews you relentlessly about a plan or design, one question at a time, until you and the agent reach a shared understanding — and it writes the vocabulary and decisions down as you go.
The grilling **leaves a paper trail**. A plain interview sharpens your thinking and then evaporates when the session ends; this one captures each term the moment it's resolved into a `CONTEXT.md` glossary, and records the hard, one-way decisions as ADRs. The alignment survives the conversation instead of living only in your head.
## When to reach for it
You invoke this by typing `/grill-with-docs` — the agent won't reach for it on its own.
Reach for it at the very start of a change, when the plan is still fuzzy and the domain language isn't settled, and you want to stress-test both before any code exists. If you only want the interview and don't need the artifacts, use [grilling](https://aihero.dev/skills-grilling); if the plan is already clear and you just need to pin down or record terminology, use [domain-modeling](https://aihero.dev/skills-domain-modeling). And if the change is too big to hold in one session and its route is still foggy — a greenfield project, a huge feature build — start upstream with [wayfinder](https://aihero.dev/skills-wayfinder): it charts the effort as a map of decisions, then hands back to this main flow once the way is clear.
## Prerequisites
This skill is stateful — it writes into your repo as it grills. Resolved terms land in a `CONTEXT.md` glossary at the root (or the relevant context's `CONTEXT.md` if a `CONTEXT-MAP.md` marks a multi-context repo), and genuinely hard-to-reverse decisions land as ADRs under `docs/adr/`. Both are created lazily — nothing exists until the first term or decision crystallises — so you don't need to scaffold anything up front, but you do need to be somewhere it's safe to write these files.
## The grill
The engine is a **grill**: a relentless, one-question-at-a-time walk down the design tree, resolving dependencies between decisions before moving on, with a recommended answer offered for every question. Questions the codebase can answer are answered by reading the codebase, not by asking you.
What makes this variant its own skill is where the answers go. As the grill runs, fuzzy language gets sharpened into canonical terms and written to the glossary inline — not batched at the end. The glossary stays a glossary: pure vocabulary, no implementation details, no spec. ADRs are offered sparingly, only when a decision is hard to reverse, surprising without context, and the result of a real trade-off. Most sessions produce a sharper glossary and few or no ADRs, and that's the intended shape.
## It's working if
- It asks one question at a time and waits, rather than dumping a questionnaire.
- Terms get written to `CONTEXT.md` the moment they resolve, in your project's own words.
- It reaches into the codebase to answer its own questions where it can.
- ADRs stay rare — you're not asked to rubber-stamp reversible choices.
## Where it fits
`grill-with-docs` is the opening step of the main build chain:
```txt
grill-with-docs → to-spec → to-tickets → implement → code-review
```
It comes first, before anything is written down as a spec: it produces the shared understanding and settled vocabulary that [to-spec](https://aihero.dev/skills-to-spec) then synthesises into a spec without re-interviewing you. Its close neighbours are [grilling](https://aihero.dev/skills-grilling), the same interview without the docs, and [domain-modeling](https://aihero.dev/skills-domain-modeling), the glossary-and-ADR discipline it drives. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=implement
```
```bash
npx skills update implement
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/implement)
## What it does
`implement` builds the work described in a spec or a set of tickets — driving it through test-driven development, typechecking, and the full test suite, then handing off to review and committing to the current branch.
It does **not** decide what to build. The spec is already settled and the seams are already agreed; `implement` executes that plan rather than reopening it. It is the hands, not the head — the thinking happened upstream.
## When to reach for it
You invoke this by typing `/implement` — the agent won't reach for it on its own.
Reach for it once the work is written down as a spec or split into tickets and you're ready to turn that into code. If the spec doesn't exist yet, write it first — for that, use [to-spec](https://aihero.dev/skills-to-spec), or [to-tickets](https://aihero.dev/skills-to-tickets) to break a spec into tickets. If you just want to build something test-first without a full spec, drop to [tdd](https://aihero.dev/skills-tdd) directly.
## Pre-agreed seams
The idea `implement` runs on is the **seam** — the stable interface a feature is tested at, chosen before any code is written. It doesn't invent seams mid-build; it uses the ones already picked (during [to-spec](https://aihero.dev/skills-to-spec)) and writes tests against them via [tdd](https://aihero.dev/skills-tdd). Working at pre-agreed seams is what keeps the implementation honest: the tests target something durable, so the code underneath can move without the tests moving.
Around that core it keeps the loop tight — typecheck often, run single test files as it goes, run the whole suite once at the end — then closes out with a review pass and a commit to the current branch.
## Where it fits
`implement` is the build step near the end of the main chain, just before the review:
```txt
grill-with-docs → to-spec → to-tickets → implement → code-review
```
Reach for it after the work has been specced and sequenced, not before. Its key neighbours are [to-tickets](https://aihero.dev/skills-to-tickets), which produces the tickets — each declaring its blocking edges — that it works through, and [tdd](https://aihero.dev/skills-tdd), which it drives internally to write the tests at each seam before running its own [code-review](https://aihero.dev/skills-code-review) pass and committing. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=improve-codebase-architecture
```
```bash
npx skills update improve-codebase-architecture
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/improve-codebase-architecture)
## What it does
`improve-codebase-architecture` scans a codebase for **deepening opportunities** — places where a shallow module (an interface nearly as complex as the thing it hides) could become a deep one — presents them as a self-contained visual HTML report, then grills through whichever one you pick.
It does **not** hand you a flat list of refactors. Every candidate has to pass the **deletion test** — would removing this module *concentrate* complexity behind a smaller interface, or just move it around? Only the "concentrates" cases earn a card. That filter is what stops the report from becoming generic cleanup advice.
## When to reach for it
You invoke this by typing `/improve-codebase-architecture` — the agent won't reach for it on its own.
Reach for it as a periodic health check: every few days, or whenever a codebase has started to feel like it takes too much bouncing between small modules to understand one concept. It reads the existing architecture and proposes where to deepen it. If you already know the module you want to redesign and just need the vocabulary to think it through, use [codebase-design](https://aihero.dev/skills-codebase-design) instead — this skill is the survey that finds the candidates; that one is the design bench.
## Deepening opportunities
The whole skill turns on one idea: **depth**. A deep module hides a lot of functionality behind a small, stable interface; a shallow one leaks its implementation through an interface almost as wide as the code beneath it. The report hunts for shallowness — pure functions extracted only for testability while the real bugs hide in how they're called (no **locality**), modules that leak across their **seams**, concepts you can't understand without opening five files — and proposes the deepening that would fix it.
It speaks in the shared design vocabulary (**module**, **interface**, **depth**, **seam**, **adapter**, **leverage**, **locality**) and in your project's own domain language from `CONTEXT.md`, so a candidate reads as "deepen the Order intake module," never "refactor the FooBarHandler."
## The report, then the grill
The output is a browser-ready HTML file written to your OS temp directory — nothing lands in the repo. Each candidate is a card with the files involved, the friction, a plain-English solution, the benefit in terms of locality and leverage, a before/after diagram, and a `Strong` / `Worth exploring` / `Speculative` badge. It closes with the one it would tackle first.
Then it stops and asks which one you want to explore. Pick one and it runs the [grilling](https://aihero.dev/skills-grilling) loop over that design — constraints, what sits behind the seam, which tests survive — updating the domain model inline as decisions crystallise.
## Where it fits
`improve-codebase-architecture` is **periodic maintenance** — run it every few days, not as a step in a chain. Its neighbours are [codebase-design](https://aihero.dev/skills-codebase-design), which owns the depth-and-seam vocabulary every candidate is written in, [grilling](https://aihero.dev/skills-grilling), which walks the design tree once you've chosen a candidate, and [domain-modeling](https://aihero.dev/skills-domain-modeling), which keeps `CONTEXT.md` and the ADRs current as the redesign settles. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=prototype
```
```bash
npx skills update prototype
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/prototype)
## What it does
`prototype` builds a small, disposable program whose only job is to answer one design question — does this state model feel right, or what should this UI look like.
The code is **throwaway from day one**, and marked as such. It carries no tests, no error handling beyond what makes it run, no abstractions, and no persistence. The point is to learn something fast and then delete it — so the moment you start hardening it, you've stopped prototyping.
## When to reach for it
Type `/prototype`, or the agent reaches for it automatically when a task fits.
Reach for it when you have a design question that's hard to settle on paper — a state machine with cases you can't hold in your head, or a screen you can't picture until you see a few versions side by side. If instead something already built is misbehaving and you need to find out why, use [diagnosing-bugs](https://aihero.dev/skills-diagnosing-bugs); prototyping explores what to build, not why the built thing is broken.
## Two branches
The question decides the shape, and there are two shapes:
- **"Does this logic / state model feel right?"** — a tiny interactive terminal app that pushes the state machine through the awkward cases, printing the full state after every action so you can watch what changes.
- **"What should this look like?"** — several radically different UI variations on one route, switchable from a floating bar, so you compare real renders instead of imagining them.
Picking the wrong branch wastes the whole prototype, so the question comes first. Both branches keep state in memory, run from one command, and surface the full state on every step.
## Keep the prototype as a primary source
A finished prototype leaves two things. The **answer** — the verdict plus the question it settled — is what you capture durably (a commit message, an ADR, an issue). The **prototype itself is a primary source** — the runnable evidence the answer came from.
The prototype doesn't belong in the main branch: no tests, no error handling, nothing to maintain. But that's not a reason to destroy it. Once the answer is captured, fold any validated decision into the real code, then capture the prototype on a throwaway branch — out of main, never merged — and leave a context pointer to it on the implementation issue. The main branch stays clean; the raw exploration stays one click away for anyone who wants to re-run it. A prototype left rotting in the main branch has outlived its purpose — a prototype captured as a primary source on a side branch hasn't.
## Where it fits
`prototype` is a reach-for-it-anytime standalone: you drop into it to resolve a design question, then drop back out. Its answer often feeds the next step — a validated state model or UI direction becomes settled input for [to-spec](https://aihero.dev/skills-to-spec) to write up, or an architectural decision worth recording via [domain-modeling](https://aihero.dev/skills-domain-modeling). When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=research
```
```bash
npx skills update research
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/research)
## What it does
`research` answers a question by reading the sources that own the answer and leaving a cited Markdown file behind. It works only from **primary sources** — official docs, source code, specs, first-party APIs — never a secondary write-up of them, so what it saves is traceable back to something authoritative rather than a summary of a summary.
## When to reach for it
Type `/research`, or the agent reaches for it automatically when a task turns into reading legwork.
Reach for it when the next step is *finding something out* — how an API behaves, what a spec actually says, whether a claim holds — and you'd rather not stall your own thread doing the reading. For sharpening a plan by interview instead of by reading, use [grilling](https://aihero.dev/skills-grilling); for exploring what to build with throwaway code, use [prototype](https://aihero.dev/skills-prototype).
## Delegated legwork
The defining move is that the reading runs as a **background agent**. You keep working; it goes off, follows each claim back to its primary source, and drops a single cited Markdown file into wherever the repo keeps such notes. Research is legwork you delegate, not thinking you outsource — you get back a document to react to, with its sources attached.
## Where it fits
A reach-for-it-anytime standalone that feeds the thinking skills: the file it produces is something to grill, plan, or design against, so it sits upstream of work like [grilling](https://aihero.dev/skills-grilling) and [to-prd](https://aihero.dev/skills-to-prd) rather than in the build chain. For the whole map, see [ask-matt](https://aihero.dev/skills-ask-matt).
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=resolving-merge-conflicts
```
```bash
npx skills update resolving-merge-conflicts
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/resolving-merge-conflicts)
## What it does
`resolving-merge-conflicts` works through an in-progress git merge or rebase conflict, hunk by hunk, and finishes the operation — resolved, checked, and committed.
It resolves by **intent**, not by text. Before touching a hunk it traces each side back to its **primary source** — the commit message, the PR, the original issue — to understand why the change was made, then preserves both intents where they're compatible. It never invents new behaviour to paper over a clash, and it never reaches for `--abort`: the merge always gets finished.
## When to reach for it
Type `/resolving-merge-conflicts`, or the agent reaches for it automatically when a task fits.
Reach for this when you're mid-merge or mid-rebase and git has stopped on conflicts it can't resolve itself. It's for the conflict in front of you — not for planning the merge or for debugging behaviour that broke afterwards. If the merge is done but something's now failing for reasons you can't see, use [diagnosing-bugs](https://aihero.dev/skills-diagnosing-bugs) instead.
## Resolving by intent
The trap in a conflict is treating it as a text problem — picking "ours" or "theirs" to make the markers go away. This skill treats it as an **intent** problem. Each side of a hunk exists because someone wanted something; the resolution has to honour both wants where it can, and where they're genuinely incompatible, pick the one that matches the merge's stated goal and note the trade-off out loud.
That's why the primary sources matter. You can't preserve an intent you haven't read, so the work starts in the history — commits, PRs, tickets — not in the diff.
## It's working if
- Each resolved hunk keeps both sides' behaviour, or names the trade-off where it couldn't.
- No new behaviour appears that wasn't on either branch.
- The project's own checks — typecheck, tests, format — are found and run green before the commit.
- The merge or rebase is carried all the way to a finished commit, never aborted.
## Where it fits
A reach-for-it-anytime standalone: you invoke it at the moment a merge or rebase stalls, and it hands you back a clean, committed tree. Its natural neighbour is [diagnosing-bugs](https://aihero.dev/skills-diagnosing-bugs), because a merge that resolves cleanly but misbehaves afterwards is a diagnosis problem, not a conflict one. When you're unsure which skill fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=setup-matt-pocock-skills
```
```bash
npx skills update setup-matt-pocock-skills
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/setup-matt-pocock-skills)
## What it does
`setup-matt-pocock-skills` teaches one repo how the engineering skills should behave in it — where issues live, what the triage labels are called, and where the domain docs sit — and records those answers as **config** the other skills read.
It writes config, it does not hard-code behaviour. The engineering chain assumes three files under `docs/agents/` exist; this skill is the one-time bootstrap that produces them, discovered from your actual repo (`git remote`, existing labels, existing `CONTEXT.md`) and confirmed with you rather than guessed. It is prompt-driven — explore, present what it found, confirm, then write — not a deterministic scaffold.
## When to reach for it
You invoke this by typing `/setup-matt-pocock-skills` — the agent won't reach for it on its own.
Reach for it **once per repo, before the first use of any other engineering skill**. If [triage](https://aihero.dev/skills-triage), [to-spec](https://aihero.dev/skills-to-spec), or [to-tickets](https://aihero.dev/skills-to-tickets) start guessing where your issues live or applying labels that don't exist, they haven't been set up here yet. Re-run it only to switch issue trackers or start over — day-to-day tweaks are just edits to `docs/agents/*.md`.
## The three decisions
It walks you through three choices, one at a time, each with a plain-language explainer (it assumes you don't already know the terms):
- **Issue tracker** — where work is tracked, so `triage`/`to-spec`/`to-tickets` know whether to call `gh`, `glab`, write markdown under `.scratch/`, or follow a workflow you describe. GitHub, GitLab, local markdown, or other.
- **Triage labels** — the strings behind the five canonical roles (`needs-triage`, `needs-info`, `ready-for-agent`, `ready-for-human`, `wontfix`), mapped to labels you've actually configured so `triage` applies real ones instead of creating duplicates.
- **Domain docs** — whether the repo has one `CONTEXT.md` or a multi-context map, so skills that read domain language look in the right place.
The output is three files — `docs/agents/issue-tracker.md`, `docs/agents/triage-labels.md`, `docs/agents/domain.md` — plus an `## Agent skills` block pointing to them in whichever of `CLAUDE.md` / `AGENTS.md` the repo already uses. Those files are the shared substrate the rest of the toolkit stands on.
## It's working if
- Three files land under `docs/agents/`, and an `## Agent skills` section appears in your `CLAUDE.md` or `AGENTS.md`.
- The tracker it proposes matches your real `git remote`, and the labels match strings that already exist in your repo.
- Afterwards, `triage` and `to-tickets` act on the right place with the right labels instead of asking or guessing.
## Where it fits
`setup-matt-pocock-skills` is a **run-once setup** — the foundation the whole engineering set stands on, not a step you repeat. Its neighbours are the skills that read what it writes: [triage](https://aihero.dev/skills-triage), because it applies the label vocabulary configured here, and [to-spec](https://aihero.dev/skills-to-spec) / [to-tickets](https://aihero.dev/skills-to-tickets), because they publish into the issue tracker configured here. Run it first; everything downstream assumes it has. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=tdd
```
```bash
npx skills update tdd
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/tdd)
## What it does
`tdd` builds a feature or fixes a bug test-first, one behaviour at a time, driving the code out through a red-green loop.
It will **not** write all the tests up front. Batching the tests first ("horizontal slicing") produces tests of _imagined_ behaviour — they check the shape of things and go numb to real changes. `tdd` instead takes vertical slices: one test, then just enough code to pass it, then the next test, each cycle informed by what the last one taught you. Tests target public interfaces only, so the implementation underneath can change without the tests moving.
## When to reach for it
Type `/tdd`, or the agent reaches for it automatically when a task fits — building a feature or fixing a bug test-first, or when you say "red-green-refactor".
Reach for it when there's a concrete behaviour to build and you want tests that survive a refactor. If the behaviour isn't pinned down yet, settle the spec first — for that, use [to-spec](https://aihero.dev/skills-to-spec). When the work is really about the shape of the interface rather than the tests, use [codebase-design](https://aihero.dev/skills-codebase-design); `tdd` calls into it for the deep-module vocabulary during planning.
## Red-green, one slice at a time
The leading idea is the **red-green loop**: write one failing test (red), add just enough code to pass it (green), then repeat for the next behaviour — each cycle informed by what the last one taught you. The very first cycle is a **tracer bullet**: one test that proves a single path works end-to-end, before you build outward from it. Because you just wrote the code, you know exactly which behaviour matters and how to verify it — you never outrun your headlights by committing to test structure you don't yet understand.
Two rules keep the tests honest. A good test reads like a specification ("user can checkout with valid cart") and exercises real code paths through the public API, so renaming an internal function never breaks it. And expected values come from an independent source of truth — a known-good literal, a worked example, the spec — never recomputed the way the code computes them, which is how a **tautological** test passes by construction and tells you nothing.
Refactoring only happens once the suite is green; never while red.
## It's working if
- It writes one test, gets it passing, and only then writes the next — not a batch of tests followed by a batch of code.
- The tests name behaviours, not internals, and would survive an internal rename.
- Expected values are literals from the spec, not figures derived the same way the code derives them.
## Where it fits
`tdd` is the red-green loop the main build chain runs to write code:
```txt
grill-with-docs → to-spec → to-tickets → implement → code-review
```
[implement](https://aihero.dev/skills-implement) is the chain's build step, and it drives `tdd` internally to build each ticket test-first before handing off to [code-review](https://aihero.dev/skills-code-review) — so `tdd` is the engine inside that step rather than a step of its own. You can also reach for it directly, whenever there's a concrete behaviour to build without a full spec. Its other neighbour is [codebase-design](https://aihero.dev/skills-codebase-design), which it leans on to find deep-module seams worth testing at. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=to-spec
```
```bash
npx skills update to-spec
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/to-spec)
## What it does
`to-spec` turns the current conversation and your codebase understanding into a spec (you may know this document as a PRD), then publishes it to your issue tracker.
It does **not** interview you again. By the time you reach for it, the alignment work is done — `to-spec` synthesises what is already known rather than asking a fresh round of questions.
## When to reach for it
You invoke this by typing `/to-spec` — the agent won't reach for it on its own.
Reach for it once a change has been talked through and the domain language is settled, and you want that shared understanding written down before any code is written. If you *haven't* aligned yet, grill first — for that, use [grill-with-docs](https://aihero.dev/skills-grill-with-docs). To split the finished spec into tickets, use [to-tickets](https://aihero.dev/skills-to-tickets).
## Prerequisites
`to-spec` publishes into your issue tracker, so [setup-matt-pocock-skills](https://aihero.dev/skills-setup-matt-pocock-skills) must have configured the tracker and triage labels for this repo first. It applies the `ready-for-agent` label itself — no separate triage pass needed.
## What the spec includes
- **Problem statement** — what is broken or missing, and why it's worth solving, in the project's own vocabulary.
- **Solution** — the shape of the fix at a high level, before any implementation detail.
- **User stories** — an extensive, numbered list of the concrete behaviours the change must support, each one independently checkable.
- **Implementation decisions** — the choices already settled during the conversation, so they aren't relitigated later.
- **Testing decisions** — the seams the feature will be tested at, and what "done" looks like.
- **Out-of-scope items** — what this change deliberately does *not* cover, to keep the ticket bounded.
- **Further notes** — anything else worth carrying forward that doesn't fit the sections above.
## Deep modules
Before writing the spec, `to-spec` sketches the **seams** at which the feature will be tested and looks for **deep module** opportunities — a lot of functionality hidden behind a small, stable interface. It prefers existing seams to new ones and the highest seam possible, ideally just one across the whole change.
That matters for agentic development: a good interface gives tests something durable to target, so the code underneath can change without the tests moving.
## It's working if
- It starts writing the spec instead of asking you a fresh round of questions.
- It checks the seams with you before writing, and proposes as few as possible.
- The spec comes back in your project's domain vocabulary, not generic boilerplate.
## Where it fits
`to-spec` is a step in the main build chain:
```txt
grill-with-docs → to-spec → to-tickets → implement → code-review
```
Reach for it after the plan and domain language are resolved, and before you break the work into implementation tickets. Its key neighbours are [grill-with-docs](https://aihero.dev/skills-grill-with-docs), which sharpens the context so the spec is precise, and [to-tickets](https://aihero.dev/skills-to-tickets), which turns the spec into a set of tickets for [implement](https://aihero.dev/skills-implement) to build. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
</content>
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=to-tickets
```
```bash
npx skills update to-tickets
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/to-tickets)
## What it does
`to-tickets` breaks a plan, spec, or the current conversation into a set of **tickets** — each a tracer-bullet vertical slice — and publishes them to your configured tracker, with every ticket declaring the tickets that block it.
Every ticket is a **tracer bullet** — a thin *vertical* slice that cuts through all integration layers end-to-end (schema, API, UI, tests), never a horizontal slice of one layer. A completed slice is demoable or verifiable on its own, which is what makes each ticket safe to hand to an agent.
## When to reach for it
You invoke this by typing `/to-tickets` — the agent won't reach for it on its own.
Reach for it once you have an agreed plan or a written spec and you want it split into tickets. Point it at the conversation, or pass a spec or issue reference and it fetches the body and comments first. If the change hasn't been written up as a spec yet, produce one first — for that, use [to-spec](https://aihero.dev/skills-to-spec).
## Prerequisites
`to-tickets` publishes into your issue tracker, so [setup-matt-pocock-skills](https://aihero.dev/skills-setup-matt-pocock-skills) must have configured the tracker and its triage label vocabulary for this repo first. On a real tracker it applies the ready-for-agent label as it publishes.
## One artifact, two readings
The blocking edges are the whole point. They make one set of tickets read two ways, depending on the tracker:
- **Local files** → a single `tickets.md` in the repo root, the edges written as text. You work it top-to-bottom, by hand, staying in the loop.
- **A real tracker (GitHub, Linear)** → one issue per ticket, the edges as native blocking links (or sub-issues). Any ticket whose blockers are all done is on the **frontier** and can be grabbed — so several agents can run at once.
The edges live in the ticket regardless of medium; the medium only decides whether anything acts on them in parallel. `to-tickets` produces the artifact — how you run it (sequential by hand, or a parallel fleet) is up to you.
## Vertical slices, not horizontal ones
The whole skill turns on one distinction. A **horizontal** slice ships one layer of the change — all the schema, or all the API — and nothing works until every layer lands. A **vertical** slice, the tracer bullet, ships one narrow path through *every* layer at once, so it can be demoed the moment it's done.
Before slicing, `to-tickets` looks for prefactoring — "make the change easy, then make the easy change" — and orders that work first. It then quizzes you on the breakdown (granularity, blocking edges, what to merge or split) before publishing anything, and publishes blockers first so each ticket's "Blocked by" can reference a real ticket.
## The wide-refactor exception
One shape breaks the tracer-bullet rule: a **wide refactor** — a single mechanical change (rename a column, retype a shared symbol) whose **blast radius** fans across the whole codebase, so one edit breaks thousands of call sites at once and no vertical slice can land green. `to-tickets` slices it as **expandcontract** instead: expand (add the new form beside the old so nothing breaks), migrate (move call sites over in batches sized by blast radius, one ticket per batch, CI green throughout because the old form still exists), then contract (delete the old form once no caller remains). When even the batches can't stay green alone, they share an integration branch that all block a final integrate-and-verify ticket, and green is promised only there.
## Where it fits
`to-tickets` is a step in the main build chain:
```txt
grill-with-docs → to-spec → to-tickets → implement → code-review
```
It sits between [to-spec](https://aihero.dev/skills-to-spec), which hands it a settled spec with user stories to slice against, and [implement](https://aihero.dev/skills-implement), which builds each ticket, driving [tdd](https://aihero.dev/skills-tdd) internally to write the tests test-first, before its [code-review](https://aihero.dev/skills-code-review) pass. Work the frontier one ticket per fresh context, clearing between them. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
</content>
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=triage
```
```bash
npx skills update triage
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/triage)
## What it does
`triage` moves issues on your project's tracker through a small **state machine** of triage roles — categorise them, verify the claim, grill them into shape if needed, and leave a ready-for-agent brief.
It never labels blind. Every triaged item carries exactly one **category** role (`bug` / `enhancement`) and one **state** role (`needs-triage`, `needs-info`, `ready-for-agent`, `ready-for-human`, `wontfix`), and it *recommends and waits* — it tells you its category and state call with reasoning, then acts only on your direction. Before anything is promoted to `ready-for-agent`, it verifies the claim first: a bug gets reproduced, a PR gets checked out and run.
## When to reach for it
You invoke this by typing `/triage` and describing what you want in natural language — the agent won't reach for it on its own. "Show me anything that needs my attention", "let's look at #42", "move #42 to ready-for-agent".
Reach for it when your issue tracker has raw, unevaluated reports and you want them sorted, verified, and turned into work an agent or human can pick up. To turn a settled conversation into a fresh spec instead, use [to-spec](https://aihero.dev/skills-to-spec); to split an existing spec into tickets, use [to-tickets](https://aihero.dev/skills-to-tickets). `triage` is the reverse direction — it processes what's *already* landed in the tracker.
## Prerequisites
`triage` reads and writes your issue tracker, so [setup-matt-pocock-skills](https://aihero.dev/skills-setup-matt-pocock-skills) must have configured the tracker and the label mapping first. The role names above are **canonical** — the actual label strings in your tracker may differ, and that mapping is what setup provides. The config also decides whether external PRs count as a request surface, and who counts as external.
## A PR is an issue with attached code
Where the tracker treats external pull requests as a request surface, `triage` runs them through the *same* machine: same category roles, same states, same transitions — the states just read against the diff instead of a report. `ready-for-agent` means a brief is attached and an agent should take the next step on the code; `ready-for-human` means it's ready to merge. Discovery surfaces only external PRs, but an explicitly named PR is always triaged regardless of author.
## Verify before you brief
The step that separates `triage` from ad-hoc labelling is verification. It reproduces the bug from the reporter's steps, or checks out the PR and runs the tests, and reports back: confirmed with a code path, failed, or insufficient detail (which is itself a strong `needs-info` signal). It also runs two codebase checks — **redundancy** (is this already implemented? then it's a `wontfix`) and **prior rejection** (does `.out-of-scope/` already say no?). A confirmed verification makes a far stronger agent brief; guessing does not.
## It's working if
- Every item it touches ends with exactly one category role and one state role — never zero, never two conflicting states.
- It hands you a recommendation with reasoning and waits, rather than relabelling on its own.
- Bugs get reproduced and PRs get run before anything reaches `ready-for-agent`.
- Every comment it posts to the tracker opens with the `> *This was generated by AI during triage.*` disclaimer.
## Where it fits
`triage` is the **periodic maintenance** pass over your issue tracker — run it whenever reports pile up, to keep the queue sorted and the `ready-for-agent` column trustworthy. It sits at the front of the tracker, upstream of the build chain: the briefs it writes are what [tdd](https://aihero.dev/skills-tdd) later picks up to implement. When a request needs sharpening it leans on [grilling](https://aihero.dev/skills-grilling) and [domain-modeling](https://aihero.dev/skills-domain-modeling) to grill it into shape one question at a time. Its close neighbour is [to-spec](https://aihero.dev/skills-to-spec), which populates the tracker from a fresh conversation where `triage` processes what's already there. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=wayfinder
```
```bash
npx skills update wayfinder
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/wayfinder)
## What it does
`wayfinder` takes an effort too big for one agent session — wrapped in fog, where the way from here to the goal isn't visible yet — and charts it as a **shared map** of investigation tickets on your issue tracker, then resolves them one at a time until the way is clear. It **plans, it doesn't do**: every ticket resolves a decision, and the map is done when nothing is left to decide before someone goes and builds the thing — so it produces decisions, not deliverables.
## When to reach for it
You invoke this by typing `/wayfinder` — the agent won't reach for it on its own.
Reach for it when an effort is **more than one agent session can hold** and the route to its **destination** is still foggy — you can feel the shape of the work but can't yet write it down as a spec or a plan. For turning an *already-clear* thread into a spec, use [to-spec](https://aihero.dev/skills-to-spec); for slicing an already-understood plan into buildable tickets, use [to-tickets](https://aihero.dev/skills-to-tickets). Wayfinder sits upstream of both: it's what you run when there's too much fog to spec directly.
## Prerequisites
The map and its tickets live on the repo's issue tracker, so wayfinder needs the tracker wiring that [setup-matt-pocock-skills](https://aihero.dev/skills-setup-matt-pocock-skills) lays down — it seeds a "Wayfinding operations" section describing how the map, child tickets, blocking, and frontier queries are expressed for GitHub, GitLab, or local-markdown. Absent that doc, wayfinder defaults to a local-markdown map.
## The map is an index, fog is the frontier
The **map** is a single `wayfinder:map` issue whose tickets are its child issues — one shared URL the whole team can watch. It's an **index, not a store**: each decision lives in exactly one place (its ticket), and the map only gists and links, never restates. A session loads the map at low resolution and zooms into individual tickets on demand.
Beyond the live tickets lies the **fog of war** — decisions you can tell are coming but can't yet pin down. The test for whether something is a ticket or still fog is whether you can *state the question precisely now*, not whether you can answer it. Resolving a ticket clears the fog ahead of it, **graduating** whatever's now specifiable into fresh tickets. The **frontier** is the open, unblocked, unclaimed tickets — the edge of the known — and it's what the tracker's native blocking renders visually, so you see what's takeable without opening the map. Fog only gathers *toward* the **destination**; work past it is ruled **out of scope**, closed, never graduating.
Every ticket is **HITL** (human in the loop — grilling, prototype) or **AFK** (agent alone — research); a HITL ticket only resolves through a live exchange, so the agent never answers its own questions.
## It's working if
- Naming the **destination** is the first act — before any ticket exists — because it fixes the scope every ticket is measured against.
- One map is one `wayfinder:map` issue; tickets are its child issues, referred to by **name**, never a bare `#42`.
- A session resolves **at most one ticket**, records the answer as a resolution comment, closes the ticket, and appends a one-line pointer to *Decisions so far*.
- If the opening grill surfaces **no fog**, it stops and tells you the journey is small enough to skip the map.
## Where it fits
`wayfinder` is a big-idea **on-ramp**: an effort too large and foggy to spec in one sitting generates a cleared map of decisions, which then merges onto the main build flow. When the fog is pushed back and the way is clear, hand off to [to-spec](https://aihero.dev/skills-to-spec) to schedule the multi-session build (or, if the effort turned out small, implement directly). It leans on [grilling](https://aihero.dev/skills-grilling) and [domain-modeling](https://aihero.dev/skills-domain-modeling) to resolve individual tickets, and on [prototype](https://aihero.dev/skills-prototype) and [research](https://aihero.dev/skills-research) for the ticket types that need them. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=grill-me
```
```bash
npx skills update grill-me
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/productivity/grill-me)
## What it does
`grill-me` runs a relentless interview about a plan or design, walking every branch of the decision tree until you and the agent reach a **shared understanding**.
It asks **one question at a time** and waits. It never dumps a batch of questions at you — that is bewildering — and where a question can be answered by reading the codebase, it goes and reads rather than asking. Each question comes with the agent's own recommended answer, so you are reacting to a proposal, not staring at a blank prompt.
## When to reach for it
You invoke this by typing `/grill-me` — the agent won't reach for it on its own.
Reach for it before you build, when a plan feels roughly right but you can sense unresolved decisions hiding in it — the moment you want the soft spots found and forced into the open. If you want that same interrogation to also leave a paper trail of ADRs and a glossary behind, use [grill-with-docs](https://aihero.dev/skills-grill-with-docs) instead. And if the effort is too big to hold in one session and the route to the goal is still foggy — a greenfield project, a huge feature build — start further upstream with [wayfinder](https://aihero.dev/skills-wayfinder), which charts it as a map of decisions first and then merges back into this flow.
## The design tree
The session walks the plan as a tree of decisions, resolving dependencies between them one by one — a parent decision settled before the choices that hang off it. The point is not to reach agreement quickly; it is to make every implicit call explicit, so nothing important is left silently assumed. You come out the other side with a plan whose branches have all been visited.
`grill-me` is **stateless**: it writes nothing and leaves no workspace behind. It runs anywhere, and the only artifact is the sharpened understanding in the conversation itself. That is the deliberate contrast with [grill-with-docs](https://aihero.dev/skills-grill-with-docs), which captures the same interview as durable ADRs and a glossary.
## Where it fits
`grill-me` is a reach-for-it-anytime standalone — the pre-build stress test you run whenever a plan needs hardening. It is the stateless, user-invoked front door to the [grilling](https://aihero.dev/skills-grilling) primitive; its closest neighbour is [grill-with-docs](https://aihero.dev/skills-grill-with-docs), the stateful sibling that runs the same interview but additionally records the decisions as ADRs and a glossary. If the outcome is a spec you want written down, hand off to [to-spec](https://aihero.dev/skills-to-spec), which synthesises the settled understanding into a spec without re-interviewing you. When you're unsure which flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=grilling
```
```bash
npx skills update grilling
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/productivity/grilling)
## What it does
`grilling` is the relentless interview that stress-tests a plan or design before you build it. It walks down the design tree branch by branch, resolving the dependencies between decisions one at a time until you and the agent share the same understanding.
It asks **one question at a time** and waits for your answer before the next — never a bulk list, which is bewildering. Each question comes with the agent's own recommended answer, and any question the codebase can settle it explores instead of asking you. It won't start enacting the plan until you confirm the shared understanding has been reached.
## When to reach for it
Type `/grilling`, or the agent reaches for it automatically when a task fits — this is the underlying primitive, not a user-only entry point.
Reach for it when a plan or design still has soft spots and you want them surfaced before code is written. In practice you usually invoke it through one of its two wrappers rather than by name: for a plain grilling session use [grill-me](https://aihero.dev/skills-grill-me); to have the session also write ADRs and a glossary as it goes, use [grill-with-docs](https://aihero.dev/skills-grill-with-docs).
## The design tree
The mental model is a **design tree**: every plan branches into decisions, and decisions depend on each other. `grilling` descends that tree one node at a time, so an early answer can reshape which questions come next. That is why the questions arrive singly and in dependency order — a firehose of parallel questions loses the structure that makes the interview converge on a shared understanding.
## Pulled out on purpose
`grilling` is the **single source of truth** for the interview technique, split out as a model-invoked **primitive** so every skill that needs an interview can reach it instead of reinventing one. [grill-me](https://aihero.dev/skills-grill-me) and [grill-with-docs](https://aihero.dev/skills-grill-with-docs) are its two user-invoked front doors, but [improve-codebase-architecture](https://aihero.dev/skills-improve-codebase-architecture) and [triage](https://aihero.dev/skills-triage) also lean on it to pressure-test their own decisions.
Keeping the technique in one place means you can also reach for it directly when you just want the interview — without the ADR-writing or ticket-shaping that its wrappers add on top.
## Where it fits
`grilling` is the interview **primitive** under the main build chain: [grill-with-docs](https://aihero.dev/skills-grill-with-docs) runs it to sharpen context before [to-spec](https://aihero.dev/skills-to-spec) writes the spec. When you're unsure which entry point fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=handoff
```
```bash
npx skills update handoff
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/productivity/handoff)
## What it does
`handoff` compacts the current conversation into a **handoff document** — a single write-up a fresh agent can read to pick up the work where you left off.
It does **not** re-state what already lives elsewhere. Anything captured in a spec, plan, ADR, issue, commit, or diff is referenced by path or URL, never copied. The document carries only the live thread — what you were doing, why, and what's next — and it's saved to your OS's temporary directory, not into the workspace, so it never becomes another artifact to maintain.
## When to reach for it
You invoke this by typing `/handoff` — the agent won't reach for it on its own. Pass a note about what the next session is for and the document is tailored to it.
Reach for this when a conversation has gone long enough that its context is at risk — you're near a context limit, wrapping for the day, or deliberately handing the work to another agent — and you want the thread preserved without dragging the whole transcript along.
## What the document carries
- **The live thread** — what's in flight and why, in the conversation's own terms, minus anything already written down elsewhere.
- **Suggested skills** — a pointer to the skills the next agent should reach for to continue.
- **References, not copies** — links and paths to the specs, plans, ADRs, issues, and diffs that hold the settled detail.
- **Redacted secrets** — API keys, passwords, and PII stripped before the document is written.
The idea to hold onto is **compaction**: a handoff is the conversation squeezed down to just its resumable core, so a fresh agent inherits the momentum, not the noise.
## Where it fits
`handoff` is a reach-for-it-anytime standalone — it sits at the seam between two sessions rather than inside a build chain. It pairs naturally with the artifact-producing skills whose output it points at: [to-spec](https://aihero.dev/skills-to-spec), because a finished spec is exactly the kind of settled detail a handoff references instead of repeating. When you're unsure which skill fits the moment, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=teach
```
```bash
npx skills update teach
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/productivity/teach)
## What it does
`teach` turns the current directory into a standing teaching workspace and teaches you one topic across many sessions — devising short, beautiful, interactive lessons tied to *why* you want to learn.
It does **not** teach from the model's own memory. Parametric knowledge is treated as untrusted; before it can teach, it gathers high-trust resources and grounds every claim in a citation. And it is stateful — the workspace remembers what you've learned, so each session picks up where the last left off rather than starting from scratch.
## When to reach for it
You invoke this by typing `/teach` — the agent won't reach for it on its own.
Reach for it when you want to *learn* a topic over time — a language, a framework, yoga, theoretical physics — and want the sessions to accumulate rather than evaporate. It is not for a one-off explanation; if you just need something clarified in the moment, ask directly. Reach for `teach` when the learning is a project.
## Prerequisites
`teach` builds a whole directory in place, so run it somewhere you're happy to keep as a dedicated workspace. Over time it writes:
- `MISSION.md` — the reason you're learning this, which grounds everything else. If it's empty, `teach`'s first job is to question you until it isn't.
- `RESOURCES.md` — the vetted, high-trust sources it teaches from.
- `./lessons/*.html` — the numbered, self-contained lessons (the primary unit of teaching).
- `./reference/*.html` — compressed cheat-sheets, algorithms, glossaries you'll return to.
- `./learning-records/*.md` — what you've learned, ADR-style, used to judge what to teach next.
- `./assets/*` — reusable components (a shared stylesheet first) so the lessons look like one course.
- `NOTES.md` — your teaching preferences.
## Mission, and the zone of proximal development
Every lesson hangs off the **mission**. Without it, knowledge has nothing to attach to and lessons feel abstract — so the mission is the first thing `teach` pins down and keeps updating as you grow. From the mission and your learning records it computes your **zone of proximal development**: the next lesson should challenge you *just enough*, no more.
## Storage strength, not fluency
The word to think with is **storage strength** — long-term retention — as opposed to **fluency**, the in-the-moment recall that feels like mastery but isn't. `teach` deliberately builds the former through desirable difficulty: retrieval practice, spacing, and interleaving. Knowledge is taught first (where difficulty is the enemy), then skills are drilled through a tight feedback loop (where difficulty is the tool).
## Where it fits
`teach` is a reach-for-it-anytime standalone — a long-running learning project you drive session by session, not a step in a build chain. It shares no workflow with the other productivity skills; it simply owns its workspace directory and lives there. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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Quickstart:
```bash
npx skills add mattpocock/skills --skill=writing-great-skills
```
```bash
npx skills update writing-great-skills
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/productivity/writing-great-skills)
## What it does
`writing-great-skills` is the reference you write and edit skills against — the shared vocabulary and principles that make a skill predictable.
A skill's job is to wrangle determinism out of a stochastic system, so the goal is not the same *output* every run but the same *process*. **Predictability** is the root virtue, and every design choice is judged against it — not against how clever, complete, or exhaustive the skill reads.
## When to reach for it
You invoke this by typing `/writing-great-skills` — the agent won't reach for it on its own.
Reach for it whenever you're authoring a new skill or editing an existing one and want it to behave the same way every time: deciding invocation mode, writing a description, choosing what lives in `SKILL.md` versus a linked file, or diagnosing why a skill misfires.
## Cognitive load
The concept the whole reference turns on is **cognitive load** — and its counterpart, **context load**. Every skill spends one or the other:
- A **model-invoked** skill keeps a description in the window every turn, so it costs **context load** but fires on its own.
- A **user-invoked** skill strips that description; it costs zero context load, but now *you* are the index that has to remember it exists — that's **cognitive load**.
Most of these skills are user-invoked, which is why cognitive load is the pressure the whole system is built to manage: when user-invoked skills multiply past what you can hold in your head, the cure is a **router skill** that names the others and when to reach for each. Once you're thinking in these two loads, most authoring decisions — split or don't, inline or disclose, model- or user-invoked — become the same trade made in different places.
## The other levers
The rest of the reference is the toolkit for spending those loads well:
- **Leading words** — a compact concept already in the model's pretraining (_tight_, _red_, _tracer bullet_) that the agent thinks with while running the skill. It anchors execution *and* invocation in the fewest tokens; hunt restatements that a single word can retire.
- **Information hierarchy** — the ladder from in-skill step, to in-skill reference, to external reference behind a **context pointer**. **Progressive disclosure** is the move down that ladder so the top stays legible.
- **Pruning** — single source of truth, relevance, and the no-op test applied sentence by sentence, against **sediment** and **sprawl**.
- **Failure modes** — **premature completion**, **duplication**, **sediment**, **sprawl**, **no-op** — to diagnose a skill that isn't behaving.
## Where it fits
This is a reach-for-it-anytime standalone reference — the meta-skill you consult while building the rest of the set, not a step in a chain. Its natural neighbour is any router you maintain, because a router is the direct cure for the cognitive load that user-invoked skills pile up; when you're unsure which skill or flow fits a task, [ask-matt](https://aihero.dev/skills-ask-matt) routes you over the whole set.
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{
"name": "mattpocock-skills",
"version": "1.1.0",
"private": true,
"description": "Matt Pocock's agent skills for real engineering",
"repository": {
"type": "git",
"url": "https://github.com/mattpocock/skills"
},
"license": "MIT",
"scripts": {
"changeset": "changeset",
"version": "changeset version"
},
"devDependencies": {
"@changesets/changelog-github": "^0.7.0",
"@changesets/cli": "^2.30.0"
},
"packageManager": "npm@10.9.4"
}
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#!/usr/bin/env bash
set -euo pipefail
# Links all skills in the repository to ~/.claude/skills, so that
# they can be used by the local Claude CLI.
# NOTE: This is a dev-only script, intended for use by maintainers of this repo.
# It is not a supported installer. Modifications to it — or requests for
# modifications — will not be approved.
#
# Links all skills in the repository into the local skill directories used by
# each agent harness:
# - ~/.claude/skills — Claude Code
# - ~/.agents/skills — pi and other Agent-Skills-standard harnesses
# Each entry is a symlink into this repo, so a `git pull` is all that's needed
# to keep installed skills up to date.
REPO="$(cd "$(dirname "$0")/.." && pwd)"
DEST="$HOME/.claude/skills"
DESTS=("$HOME/.claude/skills" "$HOME/.agents/skills")
# If ~/.claude/skills is a symlink that resolves into this repo, we'd end up
# writing the per-skill symlinks back into the repo's own skills/ tree. Detect
# and bail out instead of polluting the working copy.
if [ -L "$DEST" ]; then
resolved="$(readlink -f "$DEST")"
case "$resolved" in
"$REPO"|"$REPO"/*)
echo "error: $DEST is a symlink into this repo ($resolved)." >&2
echo "Remove it (rm \"$DEST\") and re-run; the script will recreate it as a real dir." >&2
exit 1
;;
esac
fi
mkdir -p "$DEST"
find "$REPO/skills" -name SKILL.md -not -path '*/node_modules/*' -not -path '*/deprecated/*' -print0 |
# Collect the repo's skills once, link into every destination.
names=()
srcs=()
while IFS= read -r -d '' skill_md; do
src="$(dirname "$skill_md")"
name="$(basename "$src")"
target="$DEST/$name"
names+=("$(basename "$src")")
srcs+=("$src")
done < <(find "$REPO/skills" -name SKILL.md -not -path '*/node_modules/*' -not -path '*/deprecated/*' -print0)
if [ -e "$target" ] && [ ! -L "$target" ]; then
rm -rf "$target"
for DEST in "${DESTS[@]}"; do
# If $DEST is a symlink that resolves into this repo, we'd end up writing the
# per-skill symlinks back into the repo's own skills/ tree. Detect and bail
# out instead of polluting the working copy.
if [ -L "$DEST" ]; then
resolved="$(readlink -f "$DEST")"
case "$resolved" in
"$REPO"|"$REPO"/*)
echo "error: $DEST is a symlink into this repo ($resolved)." >&2
echo "Remove it (rm \"$DEST\") and re-run; the script will recreate it as a real dir." >&2
exit 1
;;
esac
fi
ln -sfn "$src" "$target"
echo "linked $name -> $src"
mkdir -p "$DEST"
for i in "${!names[@]}"; do
name="${names[$i]}"
src="${srcs[$i]}"
target="$DEST/$name"
if [ -e "$target" ] && [ ! -L "$target" ]; then
rm -rf "$target"
fi
ln -sfn "$src" "$target"
echo "linked $name -> $src ($DEST)"
done
done
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Skills I use daily for code work.
- **[diagnose](./diagnose/SKILL.md)** — Disciplined diagnosis loop for hard bugs and performance regressions: reproduce → minimise → hypothesise → instrument → fix → regression-test.
- **[grill-with-docs](./grill-with-docs/SKILL.md)** — Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates `CONTEXT.md` and ADRs inline.
- **[triage](./triage/SKILL.md)** — Triage issues through a state machine of triage roles.
- **[improve-codebase-architecture](./improve-codebase-architecture/SKILL.md)** — Find deepening opportunities in a codebase, informed by the domain language in `CONTEXT.md` and the decisions in `docs/adr/`.
- **[setup-matt-pocock-skills](./setup-matt-pocock-skills/SKILL.md)** — Scaffold the per-repo config (issue tracker, triage label vocabulary, domain doc layout) that the other engineering skills consume.
## User-invoked
Reachable only when you type them (`disable-model-invocation: true`).
- **[ask-matt](./ask-matt/SKILL.md)** — Ask which skill or flow fits your situation. A router over the user-invoked skills in this repo.
- **[grill-with-docs](./grill-with-docs/SKILL.md)** — Grilling session that also builds your project's domain model, sharpening terminology and updating `CONTEXT.md` and ADRs inline.
- **[triage](./triage/SKILL.md)** — Move issues through a state machine of triage roles.
- **[improve-codebase-architecture](./improve-codebase-architecture/SKILL.md)** — Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
- **[setup-matt-pocock-skills](./setup-matt-pocock-skills/SKILL.md)** — Configure this repo for the engineering skills (issue tracker, triage labels, domain doc layout). Run once per repo.
- **[to-spec](./to-spec/SKILL.md)** — Turn the current conversation into a spec and publish it to the issue tracker.
- **[to-tickets](./to-tickets/SKILL.md)** — Break any plan, spec, or conversation into a set of tracer-bullet tickets, each declaring its blocking edges — text in a local file, or native blocking links on a real tracker.
- **[wayfinder](./wayfinder/SKILL.md)** — Plan a huge chunk of work — more than one agent session can hold — as a shared map of investigation tickets on the issue tracker, resolved one at a time until the way to the destination is clear.
## Model-invoked
Model- or user-reachable (rich trigger phrasing so the model can reach for them).
- **[prototype](./prototype/SKILL.md)** — Build a throwaway prototype to answer a design question: a runnable terminal app for state/logic, or several toggleable UI variations.
- **[diagnosing-bugs](./diagnosing-bugs/SKILL.md)** — Disciplined diagnosis loop for hard bugs and performance regressions: reproduce → minimise → hypothesise → instrument → fix → regression-test.
- **[research](./research/SKILL.md)** — Investigate a question against high-trust primary sources and capture the findings as a cited Markdown file in the repo, run as a background agent.
- **[tdd](./tdd/SKILL.md)** — Test-driven development with a red-green-refactor loop. Builds features or fixes bugs one vertical slice at a time.
- **[to-issues](./to-issues/SKILL.md)** — Break any plan, spec, or PRD into independently-grabbable GitHub issues using vertical slices.
- **[to-prd](./to-prd/SKILL.md)** — Turn the current conversation context into a PRD and submit it as a GitHub issue.
- **[zoom-out](./zoom-out/SKILL.md)** — Tell the agent to zoom out and give broader context or a higher-level perspective on an unfamiliar section of code.
- **[prototype](./prototype/SKILL.md)** — Build a throwaway prototype to flesh out a design — either a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
- **[domain-modeling](./domain-modeling/SKILL.md)** — Actively build and sharpen a project's domain model — challenge terms, stress-test with scenarios, update `CONTEXT.md` and ADRs inline.
- **[codebase-design](./codebase-design/SKILL.md)** — Shared discipline and vocabulary for designing deep modules: small interfaces, clean seams, testable through the interface.
- **[code-review](./code-review/SKILL.md)** — Two-axis review of the diff since a fixed point: **Standards** (does it follow the repo's coding standards, plus a Fowler smell baseline?) and **Spec** (does it faithfully implement the originating issue/PRD?), run as parallel sub-agents.
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---
name: ask-matt
description: Ask which skill or flow fits your situation. A router over the skills in this repo.
disable-model-invocation: true
---
# Ask Matt
You don't remember every skill, so ask.
A **flow** is a path through the skills. Most paths run along one **main flow**, and two **on-ramps** merge onto it. Everything else is standalone, or a vocabulary layer that runs underneath.
## The main flow: idea → ship
The route most work travels. You have an idea and want it built.
1. **`/grill-with-docs`** — sharpen the idea by interview. Start here when you **have a codebase**: it's stateful, retaining what it learns in `CONTEXT.md` and ADRs. (No codebase? Use `/grill-me` — see Standalone. Both run the same `/grilling` primitive; `grill-with-docs` is the one that leaves a paper trail.)
2. **Branch — can you settle every question in conversation?** If a question needs a runnable answer (state, business logic, a UI you have to see), detour through a prototype, bridged by **`/handoff`** in both directions (see Crossing sessions):
- **`/handoff`** out, then open a fresh session against that file,
- **`/prototype`** to answer the question with throwaway code,
- **`/handoff`** back what you learned, and reference it from the original idea thread.
3. **Branch — is this a multi-session build?**
- **Yes** → **`/to-spec`** (turn the thread into a spec), then **`/to-tickets`** to split it into tracer-bullet tickets, each declaring its **blocking edges**. On a local tracker that's an ordered `tickets.md` you work by hand; on a real tracker the edges become native blocking links, so any ticket whose blockers are done can be grabbed — kick off **`/implement`** per ticket, **clearing context between each one**.
- **No** → **`/implement`** right here, in the same context window.
Either way, **`/implement`** builds each issue by driving **`/tdd`** internally — one red-green slice at a time — then closes out by running **`/code-review`**, a two-axis review (Standards + Spec) of the diff, before committing. Reach for **`/tdd`** on its own when you just want to build a concrete behaviour test-first without a full spec, and **`/code-review`** on its own whenever you want to review a branch or PR against a fixed point.
### Context hygiene
Keep steps 13 in **one unbroken context window** — don't compact or clear until after `/to-tickets` — so the grilling, spec, and tickets all build on the same thinking. Each `/implement` then starts fresh, working from the ticket.
The limit on this is the **[smart zone](https://www.aihero.dev/ai-coding-dictionary/smart-zone)**: the window (~120k tokens on state-of-the-art models) within which the model still reasons sharply. If a session approaches it before `/to-tickets`, don't push on degraded — `/handoff` and continue in a fresh thread.
## On-ramps
A starting situation that generates work, then merges onto the main flow.
- **Bugs and requests piling up** → **`/triage`**. It moves issues through triage roles and produces agent-ready issues, which **`/implement`** later picks up.
Triage is only for issues **you didn't create** — bug reports, incoming feature requests, anything that arrives raw. Tickets that `/to-tickets` produced are already agent-ready, so **don't triage them**.
- **Something's broken** → **`/diagnosing-bugs`**. For the hard ones: the bug that resists a first glance, the intermittent flake, the regression that crept in between two known-good states. It refuses to theorise until it has a **tight feedback loop** — one command that already goes red on *this* bug — then fixes with a regression test. Its post-mortem hands off to **`/improve-codebase-architecture`** when the real finding is that there's no good seam to lock the bug down.
- **A huge, foggy effort — a greenfield project or a huge feature build, too big for one session** → **`/wayfinder`**. When the way from here to the destination isn't visible yet, it charts a **shared map** of investigation tickets on the issue tracker and resolves them one at a time — producing **decisions, not deliverables** — until the fog is pushed back and the way is clear. Then it merges onto the main flow at **`/to-spec`** (or, if the effort turned out small enough, straight to **`/implement`**). Where **`/grill-with-docs`** sharpens an idea you can hold in one session, wayfinder is for the idea you can't.
## Codebase health
Not feature work — upkeep.
- **`/improve-codebase-architecture`** — run whenever you have a spare moment to keep the codebase good for agents to operate in. It surfaces **deepening opportunities**; picking one _generates an idea_ you can take into the main flow at `/grill-with-docs`. It's the survey that finds the candidates; **`/codebase-design`** (below) is the bench you design the chosen one on.
## Vocabulary underneath
Two model-invoked references that run *beneath* the other skills — each the single source of truth for its vocabulary. Reach for them directly when the **words**, not the process, are the problem; or let the skills above pull them in.
- **`/domain-modeling`** — sharpen the project's *domain* language: challenge a fuzzy term, resolve an overloaded word ("account" doing three jobs), record a hard-to-reverse decision as an ADR. It's the active discipline `/grill-with-docs` drives to keep `CONTEXT.md` a clean glossary.
- **`/codebase-design`** — the deep-module vocabulary (module, interface, depth, seam, adapter, leverage, locality) for designing a module's *shape*: a lot of behaviour behind a small interface at a clean seam. `/tdd` and `/improve-codebase-architecture` both speak it.
## Crossing sessions
- **`/handoff`** — when a thread is full or you need to branch off (e.g. into a `/prototype` session), this compacts the conversation into a markdown file. You don't continue in place — you **open a new session and reference that file** to carry the context across. It's the bridge between context windows, in either direction. Use it when you want a **fresh session** but need the **current conversation preserved**.
- **`/compact`** (built-in) — stay in the **same conversation**, letting the earlier turns be summarized. Use it at **intentional breaks between phases**, when you don't mind losing the verbatim history. Don't compact mid-phase — the agent can lose its way. `/handoff` forks; `/compact` continues.
## Standalone
Off the main flow entirely.
- **`/grill-me`** — the same relentless interview as `/grill-with-docs`, but for when you have **no codebase**. Stateless: it saves nothing locally, builds no `CONTEXT.md`. Reach for it to sharpen any plan or design that doesn't live in a repo.
- **`/prototype`** — a small, throwaway program that answers one design question: does this state model feel right, or what should this UI look like. Throwaway from day one — keep the answer, delete the code. It's the detour in step 2 of the main flow, but reach for it any time a design question is hard to settle on paper.
- **`/research`** — delegate reading legwork to a **background agent**: it investigates a question against **primary sources**, then leaves a cited Markdown file in the repo. Keep working while it reads. The file it produces is something to take *into* the main flow at `/grill-with-docs` — research feeds the thinking, it doesn't replace it.
- **`/teach`** — learn a concept over multiple sessions, using the current directory as a stateful workspace.
- **`/writing-great-skills`** — reference for writing and editing skills well.
## Precondition
**`/setup-matt-pocock-skills`** — run before your first engineering flow to configure the issue tracker, triage labels, and doc layout the other skills assume. Custom issue trackers also work.
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---
name: code-review
description: Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
---
Two-axis review of the diff between `HEAD` and a fixed point the user supplies:
- **Standards** — does the code conform to this repo's documented coding standards?
- **Spec** — does the code faithfully implement the originating issue / PRD / spec?
Both axes run as **parallel sub-agents** so they don't pollute each other's context, then this skill aggregates their findings.
The issue tracker should have been provided to you — run `/setup-matt-pocock-skills` if `docs/agents/issue-tracker.md` is missing.
## Process
### 1. Pin the fixed point
Whatever the user said is the fixed point — a commit SHA, branch name, tag, `main`, `HEAD~5`, etc. If they didn't specify one, ask for it.
Capture the diff command once: `git diff <fixed-point>...HEAD` (three-dot, so the comparison is against the merge-base). Also note the list of commits via `git log <fixed-point>..HEAD --oneline`.
Before going further, confirm the fixed point resolves (`git rev-parse <fixed-point>`) and the diff is non-empty. A bad ref or empty diff should fail here — not inside two parallel sub-agents.
### 2. Identify the spec source
Look for the originating spec, in this order:
1. Issue references in the commit messages (`#123`, `Closes #45`, GitLab `!67`, etc.) — fetch via the workflow in `docs/agents/issue-tracker.md`.
2. A path the user passed as an argument.
3. A PRD/spec file under `docs/`, `specs/`, or `.scratch/` matching the branch name or feature.
4. If nothing is found, ask the user where the spec is. If they say there isn't one, the **Spec** sub-agent will skip and report "no spec available".
### 3. Identify the standards sources
Anything in the repo that documents how code should be written, such as `CODING_STANDARDS.md` or `CONTRIBUTING.md`.
On top of whatever the repo documents, the Standards axis always carries the **smell baseline** below — a fixed set of Fowler code smells (_Refactoring_, ch.3) that applies even when a repo documents nothing. Two rules bind it:
- **The repo overrides.** A documented repo standard always wins; where it endorses something the baseline would flag, suppress the smell.
- **Always a judgement call.** Each smell is a labelled heuristic ("possible Feature Envy"), never a hard violation — and, like any standard here, skip anything tooling already enforces.
Each smell reads *what it is**how to fix*; match it against the diff:
- **Mysterious Name** — a function, variable, or type whose name doesn't reveal what it does or holds. → rename it; if no honest name comes, the design's murky.
- **Duplicated Code** — the same logic shape appears in more than one hunk or file in the change. → extract the shared shape, call it from both.
- **Feature Envy** — a method that reaches into another object's data more than its own. → move the method onto the data it envies.
- **Data Clumps** — the same few fields or params keep travelling together (a type wanting to be born). → bundle them into one type, pass that.
- **Primitive Obsession** — a primitive or string standing in for a domain concept that deserves its own type. → give the concept its own small type.
- **Repeated Switches** — the same `switch`/`if`-cascade on the same type recurs across the change. → replace with polymorphism, or one map both sites share.
- **Shotgun Surgery** — one logical change forces scattered edits across many files in the diff. → gather what changes together into one module.
- **Divergent Change** — one file or module is edited for several unrelated reasons. → split so each module changes for one reason.
- **Speculative Generality** — abstraction, parameters, or hooks added for needs the spec doesn't have. → delete it; inline back until a real need shows.
- **Message Chains** — long `a.b().c().d()` navigation the caller shouldn't depend on. → hide the walk behind one method on the first object.
- **Middle Man** — a class or function that mostly just delegates onward. → cut it, call the real target direct.
- **Refused Bequest** — a subclass or implementer that ignores or overrides most of what it inherits. → drop the inheritance, use composition.
### 4. Spawn both sub-agents in parallel
Send a single message with two `Agent` tool calls. Use the `general-purpose` subagent for both.
**Standards sub-agent prompt** — include:
- The full diff command and commit list.
- The list of standards-source files you found in step 3, **plus the smell baseline from step 3** pasted in full — the sub-agent has no other access to it.
- The brief: "Report — per file/hunk where relevant — (a) every place the diff violates a documented standard: cite the standard (file + the rule); and (b) any baseline smell you spot: name it and quote the hunk. Distinguish hard violations from judgement calls — documented-standard breaches can be hard, but baseline smells are always judgement calls, and a documented repo standard overrides the baseline. Skip anything tooling enforces. Under 400 words."
**Spec sub-agent prompt** — include:
- The diff command and commit list.
- The path or fetched contents of the spec.
- The brief: "Report: (a) requirements the spec asked for that are missing or partial; (b) behaviour in the diff that wasn't asked for (scope creep); (c) requirements that look implemented but where the implementation looks wrong. Quote the spec line for each finding. Under 400 words."
If the spec is missing, skip the Spec sub-agent and note this in the final report.
### 5. Aggregate
Present the two reports under `## Standards` and `## Spec` headings, verbatim or lightly cleaned. Do **not** merge or rerank findings — the two axes are deliberately separate (see _Why two axes_).
End with a one-line summary: total findings per axis, and the worst issue _within each axis_ (if any). Don't pick a single winner across axes — that's the reranking the separation exists to prevent.
## Why two axes
A change can pass one axis and fail the other:
- Code that follows every standard but implements the wrong thing → **Standards pass, Spec fail.**
- Code that does exactly what the issue asked but breaks the project's conventions → **Spec pass, Standards fail.**
Reporting them separately stops one axis from masking the other.
@@ -1,6 +1,6 @@
# Deepening
How to deepen a cluster of shallow modules safely, given its dependencies. Assumes the vocabulary in [LANGUAGE.md](LANGUAGE.md) — **module**, **interface**, **seam**, **adapter**.
How to deepen a cluster of shallow modules safely, given its dependencies. Assumes the vocabulary in [SKILL.md](SKILL.md) — **module**, **interface**, **seam**, **adapter**.
## Dependency categories
@@ -1,8 +1,8 @@
# Interface Design
# Design It Twice
When the user wants to explore alternative interfaces for a chosen deepening candidate, use this parallel sub-agent pattern. Based on "Design It Twice" (Ousterhout) — your first idea is unlikely to be the best.
Uses the vocabulary in [LANGUAGE.md](LANGUAGE.md) — **module**, **interface**, **seam**, **adapter**, **leverage**.
Uses the vocabulary in [SKILL.md](SKILL.md) — **module**, **interface**, **seam**, **adapter**, **leverage**.
## Process
@@ -27,7 +27,7 @@ Prompt each sub-agent with a separate technical brief (file paths, coupling deta
- Agent 3: "Optimise for the most common caller — make the default case trivial."
- Agent 4 (if applicable): "Design around ports & adapters for cross-seam dependencies."
Include both [LANGUAGE.md](LANGUAGE.md) vocabulary and CONTEXT.md vocabulary in the brief so each sub-agent names things consistently with the architecture language and the project's domain language.
Include both [SKILL.md](SKILL.md) vocabulary and CONTEXT.md vocabulary in the brief so each sub-agent names things consistently with the architecture language and the project's domain language.
Each sub-agent outputs:
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---
name: codebase-design
description: Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
---
# Codebase Design
Design **deep modules**: a lot of behaviour behind a small interface, placed at a clean seam, testable through that interface. Use this language and these principles wherever code is being designed or restructured. The aim is leverage for callers, locality for maintainers, and testability for everyone.
## Glossary
Use these terms exactly — don't substitute "component," "service," "API," or "boundary." Consistent language is the whole point.
**Module** — anything with an interface and an implementation. Deliberately scale-agnostic: a function, class, package, or tier-spanning slice. _Avoid_: unit, component, service.
**Interface** — everything a caller must know to use the module correctly: the type signature, but also invariants, ordering constraints, error modes, required configuration, and performance characteristics. _Avoid_: API, signature (too narrow — they refer only to the type-level surface).
**Implementation** — what's inside a module, its body of code. Distinct from **Adapter**: a thing can be a small adapter with a large implementation (a Postgres repo) or a large adapter with a small implementation (an in-memory fake). Reach for "adapter" when the seam is the topic; "implementation" otherwise.
**Depth** — leverage at the interface: the amount of behaviour a caller (or test) can exercise per unit of interface they have to learn. A module is **deep** when a large amount of behaviour sits behind a small interface, **shallow** when the interface is nearly as complex as the implementation.
**Seam** _(Michael Feathers)_ — a place where you can alter behaviour without editing in that place; the *location* at which a module's interface lives. Where to put the seam is its own design decision, distinct from what goes behind it. _Avoid_: boundary (overloaded with DDD's bounded context).
**Adapter** — a concrete thing that satisfies an interface at a seam. Describes *role* (what slot it fills), not substance (what's inside).
**Leverage** — what callers get from depth: more capability per unit of interface they learn. One implementation pays back across N call sites and M tests.
**Locality** — what maintainers get from depth: change, bugs, knowledge, and verification concentrate in one place rather than spreading across callers. Fix once, fixed everywhere.
## Deep vs shallow
**Deep module** = small interface + lots of implementation:
```
┌─────────────────────┐
│ Small Interface │ ← Few methods, simple params
├─────────────────────┤
│ │
│ Deep Implementation│ ← Complex logic hidden
│ │
└─────────────────────┘
```
**Shallow module** = large interface + little implementation (avoid):
```
┌─────────────────────────────────┐
│ Large Interface │ ← Many methods, complex params
├─────────────────────────────────┤
│ Thin Implementation │ ← Just passes through
└─────────────────────────────────┘
```
When designing an interface, ask:
- Can I reduce the number of methods?
- Can I simplify the parameters?
- Can I hide more complexity inside?
## Principles
- **Depth is a property of the interface, not the implementation.** A deep module can be internally composed of small, mockable, swappable parts — they just aren't part of the interface. A module can have **internal seams** (private to its implementation, used by its own tests) as well as the **external seam** at its interface.
- **The deletion test.** Imagine deleting the module. If complexity vanishes, it was a pass-through. If complexity reappears across N callers, it was earning its keep.
- **The interface is the test surface.** Callers and tests cross the same seam. If you want to test *past* the interface, the module is probably the wrong shape.
- **One adapter means a hypothetical seam. Two adapters means a real one.** Don't introduce a seam unless something actually varies across it.
## Designing for testability
Good interfaces make testing natural:
1. **Accept dependencies, don't create them.**
```typescript
// Testable
function processOrder(order, paymentGateway) {}
// Hard to test
function processOrder(order) {
const gateway = new StripeGateway();
}
```
2. **Return results, don't produce side effects.**
```typescript
// Testable
function calculateDiscount(cart): Discount {}
// Hard to test
function applyDiscount(cart): void {
cart.total -= discount;
}
```
3. **Small surface area.** Fewer methods = fewer tests needed. Fewer params = simpler test setup.
## Relationships
- A **Module** has exactly one **Interface** (the surface it presents to callers and tests).
- **Depth** is a property of a **Module**, measured against its **Interface**.
- A **Seam** is where a **Module**'s **Interface** lives.
- An **Adapter** sits at a **Seam** and satisfies the **Interface**.
- **Depth** produces **Leverage** for callers and **Locality** for maintainers.
## Rejected framings
- **Depth as ratio of implementation-lines to interface-lines** (Ousterhout): rewards padding the implementation. We use depth-as-leverage instead.
- **"Interface" as the TypeScript `interface` keyword or a class's public methods**: too narrow — interface here includes every fact a caller must know.
- **"Boundary"**: overloaded with DDD's bounded context. Say **seam** or **interface**.
## Going deeper
- **Deepening a cluster given its dependencies** — see [DEEPENING.md](DEEPENING.md): dependency categories, seam discipline, and replace-don't-layer testing.
- **Exploring alternative interfaces** — see [DESIGN-IT-TWICE.md](DESIGN-IT-TWICE.md): spin up parallel sub-agents to design the interface several radically different ways, then compare on depth, locality, and seam placement.
@@ -1,17 +1,17 @@
---
name: diagnose
description: Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.
name: diagnosing-bugs
description: Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
---
# Diagnose
# Diagnosing Bugs
A discipline for hard bugs. Skip phases only when explicitly justified.
When exploring the codebase, use the project's domain glossary to get a clear mental model of the relevant modules, and check ADRs in the area you're touching.
When exploring the codebase, read `CONTEXT.md` (if it exists) to get a clear mental model of the relevant modules, and check ADRs in the area you're touching.
## Phase 1 — Build a feedback loop
**This is the skill.** Everything else is mechanical. If you have a fast, deterministic, agent-runnable pass/fail signal for the bug, you will find the cause bisection, hypothesis-testing, and instrumentation all just consume that signal. If you don't have one, no amount of staring at code will save you.
**This is the skill.** Everything else is mechanical. If you have a **tight** pass/fail signal for the bug — one that goes red on _this_ bug — you will find the cause; bisection, hypothesis-testing, and instrumentation all just consume it. If you don't have one, no amount of staring at code will save you.
Spend disproportionate effort here. **Be aggressive. Be creative. Refuse to give up.**
@@ -30,15 +30,15 @@ Spend disproportionate effort here. **Be aggressive. Be creative. Refuse to give
Build the right feedback loop, and the bug is 90% fixed.
### Iterate on the loop itself
### Tighten the loop
Treat the loop as a product. Once you have _a_ loop, ask:
Treat the loop as a product. Once you have _a_ loop, **tighten** it:
- Can I make it faster? (Cache setup, skip unrelated init, narrow the test scope.)
- Can I make the signal sharper? (Assert on the specific symptom, not "didn't crash".)
- Can I make it more deterministic? (Pin time, seed RNG, isolate filesystem, freeze network.)
A 30-second flaky loop is barely better than no loop. A 2-second deterministic loop is a debugging superpower.
A 30-second flaky loop is barely better than no loop; a 2-second deterministic one is tight — a debugging superpower.
### Non-deterministic bugs
@@ -48,11 +48,20 @@ The goal is not a clean repro but a **higher reproduction rate**. Loop the trigg
Stop and say so explicitly. List what you tried. Ask the user for: (a) access to whatever environment reproduces it, (b) a captured artifact (HAR file, log dump, core dump, screen recording with timestamps), or (c) permission to add temporary production instrumentation. Do **not** proceed to hypothesise without a loop.
Do not proceed to Phase 2 until you have a loop you believe in.
### Completion criterion — a tight loop that goes red
## Phase 2 — Reproduce
Phase 1 is done when the loop is **tight** and **red-capable**: you can name **one command** — a script path, a test invocation, a curl — that you have **already run at least once** (paste the invocation and its output), and that is:
Run the loop. Watch the bug appear.
- [ ] **Red-capable** — it drives the actual bug code path and asserts the **user's exact symptom**, so it can go red on this bug and green once fixed. Not "runs without erroring" — it must be able to _catch this specific bug_.
- [ ] **Deterministic** — same verdict every run (flaky bugs: a pinned, high reproduction rate, per above).
- [ ] **Fast** — seconds, not minutes.
- [ ] **Agent-runnable** — you can run it unattended; a human in the loop only via `scripts/hitl-loop.template.sh`.
If you catch yourself reading code to build a theory before this command exists, **stop — jumping straight to a hypothesis is the exact failure this skill prevents.** No red-capable command, no Phase 2.
## Phase 2 — Reproduce + minimise
Run the loop. Watch it go red — the bug appears.
Confirm:
@@ -60,7 +69,15 @@ Confirm:
- [ ] The failure is reproducible across multiple runs (or, for non-deterministic bugs, reproducible at a high enough rate to debug against).
- [ ] You have captured the exact symptom (error message, wrong output, slow timing) so later phases can verify the fix actually addresses it.
Do not proceed until you reproduce the bug.
### Minimise
Once it's red, shrink the repro to the **smallest scenario that still goes red**. Cut inputs, callers, config, data, and steps **one at a time**, re-running the loop after each cut — keep only what's load-bearing for the failure.
Why bother: a minimal repro shrinks the hypothesis space in Phase 3 (fewer moving parts left to suspect) and becomes the clean regression test in Phase 5.
Done when **every remaining element is load-bearing** — removing any one of them makes the loop go green.
Do not proceed until you have reproduced **and** minimised.
## Phase 3 — Hypothesise
@@ -10,7 +10,7 @@
## Language
**Order**:
{A concise description of the term}
{A one or two sentence description of the term}
_Avoid_: Purchase, transaction
**Invoice**:
@@ -20,31 +20,14 @@ _Avoid_: Bill, payment request
**Customer**:
A person or organization that places orders.
_Avoid_: Client, buyer, account
## Relationships
- An **Order** produces one or more **Invoices**
- An **Invoice** belongs to exactly one **Customer**
## Example dialogue
> **Dev:** "When a **Customer** places an **Order**, do we create the **Invoice** immediately?"
> **Domain expert:** "No — an **Invoice** is only generated once a **Fulfillment** is confirmed."
## Flagged ambiguities
- "account" was used to mean both **Customer** and **User** — resolved: these are distinct concepts.
```
## Rules
- **Be opinionated.** When multiple words exist for the same concept, pick the best one and list the others as aliases to avoid.
- **Flag conflicts explicitly.** If a term is used ambiguously, call it out in "Flagged ambiguities" with a clear resolution.
- **Keep definitions tight.** One sentence max. Define what it IS, not what it does.
- **Show relationships.** Use bold term names and express cardinality where obvious.
- **Be opinionated.** When multiple words exist for the same concept, pick the best one and list the others under `_Avoid_`.
- **Keep definitions tight.** One or two sentences max. Define what it IS, not what it does.
- **Only include terms specific to this project's context.** General programming concepts (timeouts, error types, utility patterns) don't belong even if the project uses them extensively. Before adding a term, ask: is this a concept unique to this context, or a general programming concept? Only the former belongs.
- **Group terms under subheadings** when natural clusters emerge. If all terms belong to a single cohesive area, a flat list is fine.
- **Write an example dialogue.** A conversation between a dev and a domain expert that demonstrates how the terms interact naturally and clarifies boundaries between related concepts.
## Single vs multi-context repos
@@ -0,0 +1,74 @@
---
name: domain-modeling
description: Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.
---
# Domain Modeling
Actively build and sharpen the project's domain model as you design. This is the *active* discipline — challenging terms, inventing edge-case scenarios, and writing the glossary and decisions down the moment they crystallise. (Merely *reading* `CONTEXT.md` for vocabulary is not this skill — that's a one-line habit any skill can do. This skill is for when you're changing the model, not just consuming it.)
## File structure
Most repos have a single context:
```
/
├── CONTEXT.md
├── docs/
│ └── adr/
│ ├── 0001-event-sourced-orders.md
│ └── 0002-postgres-for-write-model.md
└── src/
```
If a `CONTEXT-MAP.md` exists at the root, the repo has multiple contexts. The map points to where each one lives:
```
/
├── CONTEXT-MAP.md
├── docs/
│ └── adr/ ← system-wide decisions
├── src/
│ ├── ordering/
│ │ ├── CONTEXT.md
│ │ └── docs/adr/ ← context-specific decisions
│ └── billing/
│ ├── CONTEXT.md
│ └── docs/adr/
```
Create files lazily — only when you have something to write. If no `CONTEXT.md` exists, create one when the first term is resolved. If no `docs/adr/` exists, create it when the first ADR is needed.
## During the session
### Challenge against the glossary
When the user uses a term that conflicts with the existing language in `CONTEXT.md`, call it out immediately. "Your glossary defines 'cancellation' as X, but you seem to mean Y — which is it?"
### Sharpen fuzzy language
When the user uses vague or overloaded terms, propose a precise canonical term. "You're saying 'account' — do you mean the Customer or the User? Those are different things."
### Discuss concrete scenarios
When domain relationships are being discussed, stress-test them with specific scenarios. Invent scenarios that probe edge cases and force the user to be precise about the boundaries between concepts.
### Cross-reference with code
When the user states how something works, check whether the code agrees. If you find a contradiction, surface it: "Your code cancels entire Orders, but you just said partial cancellation is possible — which is right?"
### Update CONTEXT.md inline
When a term is resolved, update `CONTEXT.md` right there. Don't batch these up — capture them as they happen. Use the format in [CONTEXT-FORMAT.md](./CONTEXT-FORMAT.md).
`CONTEXT.md` should be totally devoid of implementation details. Do not treat `CONTEXT.md` as a spec, a scratch pad, or a repository for implementation decisions. It is a glossary and nothing else.
### Offer ADRs sparingly
Only offer to create an ADR when all three are true:
1. **Hard to reverse** — the cost of changing your mind later is meaningful
2. **Surprising without context** — a future reader will wonder "why did they do it this way?"
3. **The result of a real trade-off** — there were genuine alternatives and you picked one for specific reasons
If any of the three is missing, skip the ADR. Use the format in [ADR-FORMAT.md](./ADR-FORMAT.md).
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@@ -1,88 +1,7 @@
---
name: grill-with-docs
description: Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.
description: A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
disable-model-invocation: true
---
<what-to-do>
Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.
Ask the questions one at a time, waiting for feedback on each question before continuing.
If a question can be answered by exploring the codebase, explore the codebase instead.
</what-to-do>
<supporting-info>
## Domain awareness
During codebase exploration, also look for existing documentation:
### File structure
Most repos have a single context:
```
/
├── CONTEXT.md
├── docs/
│ └── adr/
│ ├── 0001-event-sourced-orders.md
│ └── 0002-postgres-for-write-model.md
└── src/
```
If a `CONTEXT-MAP.md` exists at the root, the repo has multiple contexts. The map points to where each one lives:
```
/
├── CONTEXT-MAP.md
├── docs/
│ └── adr/ ← system-wide decisions
├── src/
│ ├── ordering/
│ │ ├── CONTEXT.md
│ │ └── docs/adr/ ← context-specific decisions
│ └── billing/
│ ├── CONTEXT.md
│ └── docs/adr/
```
Create files lazily — only when you have something to write. If no `CONTEXT.md` exists, create one when the first term is resolved. If no `docs/adr/` exists, create it when the first ADR is needed.
## During the session
### Challenge against the glossary
When the user uses a term that conflicts with the existing language in `CONTEXT.md`, call it out immediately. "Your glossary defines 'cancellation' as X, but you seem to mean Y — which is it?"
### Sharpen fuzzy language
When the user uses vague or overloaded terms, propose a precise canonical term. "You're saying 'account' — do you mean the Customer or the User? Those are different things."
### Discuss concrete scenarios
When domain relationships are being discussed, stress-test them with specific scenarios. Invent scenarios that probe edge cases and force the user to be precise about the boundaries between concepts.
### Cross-reference with code
When the user states how something works, check whether the code agrees. If you find a contradiction, surface it: "Your code cancels entire Orders, but you just said partial cancellation is possible — which is right?"
### Update CONTEXT.md inline
When a term is resolved, update `CONTEXT.md` right there. Don't batch these up — capture them as they happen. Use the format in [CONTEXT-FORMAT.md](./CONTEXT-FORMAT.md).
`CONTEXT.md` should be totally devoid of implementation details. Do not treat `CONTEXT.md` as a spec, a scratch pad, or a repository for implementation decisions. It is a glossary and nothing else.
### Offer ADRs sparingly
Only offer to create an ADR when all three are true:
1. **Hard to reverse** — the cost of changing your mind later is meaningful
2. **Surprising without context** — a future reader will wonder "why did they do it this way?"
3. **The result of a real trade-off** — there were genuine alternatives and you picked one for specific reasons
If any of the three is missing, skip the ADR. Use the format in [ADR-FORMAT.md](./ADR-FORMAT.md).
</supporting-info>
Run a `/grilling` session, using the `/domain-modeling` skill.
+15
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@@ -0,0 +1,15 @@
---
name: implement
description: "Implement a piece of work based on a spec or set of tickets."
disable-model-invocation: true
---
Implement the work described by the user in the spec or tickets.
Use /tdd where possible, at pre-agreed seams.
Run typechecking regularly, single test files regularly, and the full test suite once at the end.
Once done, use /code-review to review the work.
Commit your work to the current branch.
@@ -0,0 +1,123 @@
# HTML Report Format
The architectural review is rendered as a single self-contained HTML file in the OS temp directory. Tailwind and Mermaid both come from CDNs. Mermaid handles graph-shaped diagrams reliably; hand-built divs and inline SVG handle the more editorial visuals (mass diagrams, cross-sections). Mix the two — don't lean on Mermaid for everything, it'll start to look generic.
## Scaffold
```html
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8" />
<title>Architecture review — {{repo name}}</title>
<script src="https://cdn.tailwindcss.com"></script>
<script type="module">
import mermaid from "https://cdn.jsdelivr.net/npm/mermaid@11/dist/mermaid.esm.min.mjs";
mermaid.initialize({ startOnLoad: true, theme: "neutral", securityLevel: "loose" });
</script>
<style>
/* small custom layer for things Tailwind doesn't cover cleanly:
dashed seam lines, hand-drawn-feeling arrow heads, etc. */
.seam { stroke-dasharray: 4 4; }
.leak { stroke: #dc2626; }
.deep { background: linear-gradient(135deg, #0f172a, #1e293b); }
</style>
</head>
<body class="bg-stone-50 text-slate-900 font-sans">
<main class="max-w-5xl mx-auto px-6 py-12 space-y-12">
<header>...</header>
<section id="candidates" class="space-y-10">...</section>
<section id="top-recommendation">...</section>
</main>
</body>
</html>
```
## Header
Repo name, date, and a compact legend: solid box = module, dashed line = seam, red arrow = leakage, thick dark box = deep module. No introduction paragraph — straight into the candidates.
## Candidate card
The diagrams carry the weight. Prose is sparse, plain, and uses the glossary terms (from the `/codebase-design` skill) without ceremony.
Each candidate is one `<article>`:
- **Title** — short, names the deepening (e.g. "Collapse the Order intake pipeline").
- **Badge row** — recommendation strength (`Strong` = emerald, `Worth exploring` = amber, `Speculative` = slate), plus a tag for the dependency category (`in-process`, `local-substitutable`, `ports & adapters`, `mock`).
- **Files** — monospaced list, `font-mono text-sm`.
- **Before / After diagram** — the centrepiece. Two columns, side by side. See patterns below.
- **Problem** — one sentence. What hurts.
- **Solution** — one sentence. What changes.
- **Wins** — bullets, ≤6 words each. e.g. "Tests hit one interface", "Pricing logic stops leaking", "Delete 4 shallow wrappers".
- **ADR callout** (if applicable) — one line in an amber-tinted box.
No paragraphs of explanation. If the diagram needs a paragraph to be understood, redraw the diagram.
## Diagram patterns
Pick the pattern that fits the candidate. Mix them. Don't make every diagram look the same — variety is part of the point.
### Mermaid graph (the workhorse for dependencies / call flow)
Use a Mermaid `flowchart` or `graph` when the point is "X calls Y calls Z, and look at the mess." Wrap it in a Tailwind-styled card so it doesn't feel parachuted in. Style with classDef to colour leakage edges red and the deep module dark. Sequence diagrams work well for "before: 6 round-trips; after: 1."
```html
<div class="rounded-lg border border-slate-200 bg-white p-4">
<pre class="mermaid">
flowchart LR
A[OrderHandler] --> B[OrderValidator]
B --> C[OrderRepo]
C -.leak.-> D[PricingClient]
classDef leak stroke:#dc2626,stroke-width:2px;
class C,D leak
</pre>
</div>
```
### Hand-built boxes-and-arrows (when Mermaid's layout fights you)
Modules as `<div>`s with borders and labels. Arrows as inline SVG `<line>` or `<path>` elements positioned absolutely over a relative container. Reach for this when you want the "after" diagram to feel like one thick-bordered deep module with greyed-out internals — Mermaid won't render that with the right weight.
### Cross-section (good for layered shallowness)
Stack horizontal bands (`h-12 border-l-4`) to show layers a call passes through. Before: 6 thin layers each doing nothing. After: 1 thick band labelled with the consolidated responsibility.
### Mass diagram (good for "interface as wide as implementation")
Two rectangles per module — one for interface surface area, one for implementation. Before: interface rectangle is nearly as tall as the implementation rectangle (shallow). After: interface rectangle is short, implementation rectangle is tall (deep).
### Call-graph collapse
Before: a tree of function calls rendered as nested boxes. After: the same tree collapsed into one box, with the now-internal calls shown faded inside it.
## Style guidance
- Lean editorial, not corporate-dashboard. Generous whitespace. Serif optional for headings (`font-serif` works well with stone/slate).
- Colour sparingly: one accent (emerald or indigo) plus red for leakage and amber for warnings.
- Keep diagrams ~320px tall so before/after sits comfortably side by side without scrolling.
- Use `text-xs uppercase tracking-wider` for module labels inside diagrams — they should read as schematic, not as UI.
- The only scripts are the Tailwind CDN and the Mermaid ESM import. The report is otherwise static — no app code, no interactivity beyond Mermaid's own rendering.
## Top recommendation section
One larger card. Candidate name, one sentence on why, anchor link to its card. That's it.
## Tone
Plain English, concise — but the architectural nouns and verbs come straight from the `/codebase-design` skill. Concision is not an excuse to drift.
**Use exactly:** module, interface, implementation, depth, deep, shallow, seam, adapter, leverage, locality.
**Never substitute:** component, service, unit (for module) · API, signature (for interface) · boundary (for seam) · layer, wrapper (for module, when you mean module).
**Phrasings that fit the style:**
- "Order intake module is shallow — interface nearly matches the implementation."
- "Pricing leaks across the seam."
- "Deepen: one interface, one place to test."
- "Two adapters justify the seam: HTTP in prod, in-memory in tests."
**Wins bullets** name the gain in glossary terms: *"locality: bugs concentrate in one module"*, *"leverage: one interface, N call sites"*, *"interface shrinks; implementation absorbs the wrappers"*. Don't write *"easier to maintain"* or *"cleaner code"* — those terms aren't in the glossary and don't earn their place.
No hedging, no throat-clearing, no "it's worth noting that…". If a sentence could be a bullet, make it a bullet. If a bullet could be cut, cut it. If a term isn't in the `/codebase-design` glossary, reach for one that is before inventing a new one.
@@ -1,53 +0,0 @@
# Language
Shared vocabulary for every suggestion this skill makes. Use these terms exactly — don't substitute "component," "service," "API," or "boundary." Consistent language is the whole point.
## Terms
**Module**
Anything with an interface and an implementation. Deliberately scale-agnostic — applies equally to a function, class, package, or tier-spanning slice.
_Avoid_: unit, component, service.
**Interface**
Everything a caller must know to use the module correctly. Includes the type signature, but also invariants, ordering constraints, error modes, required configuration, and performance characteristics.
_Avoid_: API, signature (too narrow — those refer only to the type-level surface).
**Implementation**
What's inside a module — its body of code. Distinct from **Adapter**: a thing can be a small adapter with a large implementation (a Postgres repo) or a large adapter with a small implementation (an in-memory fake). Reach for "adapter" when the seam is the topic; "implementation" otherwise.
**Depth**
Leverage at the interface — the amount of behaviour a caller (or test) can exercise per unit of interface they have to learn. A module is **deep** when a large amount of behaviour sits behind a small interface. A module is **shallow** when the interface is nearly as complex as the implementation.
**Seam** _(from Michael Feathers)_
A place where you can alter behaviour without editing in that place. The *location* at which a module's interface lives. Choosing where to put the seam is its own design decision, distinct from what goes behind it.
_Avoid_: boundary (overloaded with DDD's bounded context).
**Adapter**
A concrete thing that satisfies an interface at a seam. Describes *role* (what slot it fills), not substance (what's inside).
**Leverage**
What callers get from depth. More capability per unit of interface they have to learn. One implementation pays back across N call sites and M tests.
**Locality**
What maintainers get from depth. Change, bugs, knowledge, and verification concentrate at one place rather than spreading across callers. Fix once, fixed everywhere.
## Principles
- **Depth is a property of the interface, not the implementation.** A deep module can be internally composed of small, mockable, swappable parts — they just aren't part of the interface. A module can have **internal seams** (private to its implementation, used by its own tests) as well as the **external seam** at its interface.
- **The deletion test.** Imagine deleting the module. If complexity vanishes, the module wasn't hiding anything (it was a pass-through). If complexity reappears across N callers, the module was earning its keep.
- **The interface is the test surface.** Callers and tests cross the same seam. If you want to test *past* the interface, the module is probably the wrong shape.
- **One adapter means a hypothetical seam. Two adapters means a real one.** Don't introduce a seam unless something actually varies across it.
## Relationships
- A **Module** has exactly one **Interface** (the surface it presents to callers and tests).
- **Depth** is a property of a **Module**, measured against its **Interface**.
- A **Seam** is where a **Module**'s **Interface** lives.
- An **Adapter** sits at a **Seam** and satisfies the **Interface**.
- **Depth** produces **Leverage** for callers and **Locality** for maintainers.
## Rejected framings
- **Depth as ratio of implementation-lines to interface-lines** (Ousterhout): rewards padding the implementation. We use depth-as-leverage instead.
- **"Interface" as the TypeScript `interface` keyword or a class's public methods**: too narrow — interface here includes every fact a caller must know.
- **"Boundary"**: overloaded with DDD's bounded context. Say **seam** or **interface**.
@@ -1,38 +1,23 @@
---
name: improve-codebase-architecture
description: Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.
description: Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
disable-model-invocation: true
---
# Improve Codebase Architecture
Surface architectural friction and propose **deepening opportunities** — refactors that turn shallow modules into deep ones. The aim is testability and AI-navigability.
## Glossary
This command is _informed_ by the project's domain model and built on a shared design vocabulary:
Use these terms exactly in every suggestion. Consistent language is the point — don't drift into "component," "service," "API," or "boundary." Full definitions in [LANGUAGE.md](LANGUAGE.md).
- **Module** — anything with an interface and an implementation (function, class, package, slice).
- **Interface** — everything a caller must know to use the module: types, invariants, error modes, ordering, config. Not just the type signature.
- **Implementation** — the code inside.
- **Depth** — leverage at the interface: a lot of behaviour behind a small interface. **Deep** = high leverage. **Shallow** = interface nearly as complex as the implementation.
- **Seam** — where an interface lives; a place behaviour can be altered without editing in place. (Use this, not "boundary.")
- **Adapter** — a concrete thing satisfying an interface at a seam.
- **Leverage** — what callers get from depth.
- **Locality** — what maintainers get from depth: change, bugs, knowledge concentrated in one place.
Key principles (see [LANGUAGE.md](LANGUAGE.md) for the full list):
- **Deletion test**: imagine deleting the module. If complexity vanishes, it was a pass-through. If complexity reappears across N callers, it was earning its keep.
- **The interface is the test surface.**
- **One adapter = hypothetical seam. Two adapters = real seam.**
This skill is _informed_ by the project's domain model. The domain language gives names to good seams; ADRs record decisions the skill should not re-litigate.
- Run the `/codebase-design` skill for the architecture vocabulary (**module**, **interface**, **depth**, **seam**, **adapter**, **leverage**, **locality**) and its principles (the deletion test, "the interface is the test surface", "one adapter = hypothetical seam, two = real"). Use these terms exactly in every suggestion — don't drift into "component," "service," "API," or "boundary."
- The domain language in `CONTEXT.md` gives names to good seams; ADRs in `docs/adr/` record decisions this command should not re-litigate.
## Process
### 1. Explore
Read the project's domain glossary and any ADRs in the area you're touching first.
Read the project's domain glossary (`CONTEXT.md`) and any ADRs in the area you're touching first.
Then use the Agent tool with `subagent_type=Explore` to walk the codebase. Don't follow rigid heuristics — explore organically and note where you experience friction:
@@ -44,28 +29,38 @@ Then use the Agent tool with `subagent_type=Explore` to walk the codebase. Don't
Apply the **deletion test** to anything you suspect is shallow: would deleting it concentrate complexity, or just move it? A "yes, concentrates" is the signal you want.
### 2. Present candidates
### 2. Present candidates as an HTML report
Present a numbered list of deepening opportunities. For each candidate:
Write a self-contained HTML file to the OS temp directory so nothing lands in the repo. Resolve the temp dir from `$TMPDIR`, falling back to `/tmp` (or `%TEMP%` on Windows), and write to `<tmpdir>/architecture-review-<timestamp>.html` so each run gets a fresh file. Open it for the user — `xdg-open <path>` on Linux, `open <path>` on macOS, `start <path>` on Windows — and tell them the absolute path.
The report uses **Tailwind via CDN** for layout and styling, and **Mermaid via CDN** for diagrams where a graph/flow/sequence reliably communicates the structure. Mix Mermaid with hand-crafted CSS/SVG visuals — use Mermaid when relationships are graph-shaped (call graphs, dependencies, sequences), and hand-built divs/SVG when you want something more editorial (mass diagrams, cross-sections, collapse animations). Each candidate gets a **before/after visualisation**. Be visual.
For each candidate, render a card with:
- **Files** — which files/modules are involved
- **Problem** — why the current architecture is causing friction
- **Solution** — plain English description of what would change
- **Benefits** — explained in terms of locality and leverage, and also in how tests would improve
- **Benefits** — explained in terms of locality and leverage, and how tests would improve
- **Before / After diagram** — side-by-side, custom-drawn, illustrating the shallowness and the deepening
- **Recommendation strength** — one of `Strong`, `Worth exploring`, `Speculative`, rendered as a badge
**Use CONTEXT.md vocabulary for the domain, and [LANGUAGE.md](LANGUAGE.md) vocabulary for the architecture.** If `CONTEXT.md` defines "Order," talk about "the Order intake module" — not "the FooBarHandler," and not "the Order service."
End the report with a **Top recommendation** section: which candidate you'd tackle first and why.
**ADR conflicts**: if a candidate contradicts an existing ADR, only surface it when the friction is real enough to warrant revisiting the ADR. Mark it clearly (e.g. _"contradicts ADR-0007 — but worth reopening because…"_). Don't list every theoretical refactor an ADR forbids.
**Use CONTEXT.md vocabulary for the domain, and the `/codebase-design` vocabulary for the architecture.** If `CONTEXT.md` defines "Order," talk about "the Order intake module" — not "the FooBarHandler," and not "the Order service."
Do NOT propose interfaces yet. Ask the user: "Which of these would you like to explore?"
**ADR conflicts**: if a candidate contradicts an existing ADR, only surface it when the friction is real enough to warrant revisiting the ADR. Mark it clearly in the card (e.g. a warning callout: _"contradicts ADR-0007 — but worth reopening because…"_). Don't list every theoretical refactor an ADR forbids.
See [HTML-REPORT.md](HTML-REPORT.md) for the full HTML scaffold, diagram patterns, and styling guidance.
Do NOT propose interfaces yet. After the file is written, ask the user: "Which of these would you like to explore?"
### 3. Grilling loop
Once the user picks a candidate, drop into a grilling conversation. Walk the design tree with them — constraints, dependencies, the shape of the deepened module, what sits behind the seam, what tests survive.
Once the user picks a candidate, run the `/grilling` skill to walk the design tree with them — constraints, dependencies, the shape of the deepened module, what sits behind the seam, what tests survive.
Side effects happen inline as decisions crystallize:
Side effects happen inline as decisions crystallize — run the `/domain-modeling` skill to keep the domain model current as you go:
- **Naming a deepened module after a concept not in `CONTEXT.md`?** Add the term to `CONTEXT.md` — same discipline as `/grill-with-docs` (see [CONTEXT-FORMAT.md](../grill-with-docs/CONTEXT-FORMAT.md)). Create the file lazily if it doesn't exist.
- **Naming a deepened module after a concept not in `CONTEXT.md`?** Add the term to `CONTEXT.md`. Create the file lazily if it doesn't exist.
- **Sharpening a fuzzy term during the conversation?** Update `CONTEXT.md` right there.
- **User rejects the candidate with a load-bearing reason?** Offer an ADR, framed as: _"Want me to record this as an ADR so future architecture reviews don't re-suggest it?"_ Only offer when the reason would actually be needed by a future explorer to avoid re-suggesting the same thing — skip ephemeral reasons ("not worth it right now") and self-evident ones. See [ADR-FORMAT.md](../grill-with-docs/ADR-FORMAT.md).
- **Want to explore alternative interfaces for the deepened module?** See [INTERFACE-DESIGN.md](INTERFACE-DESIGN.md).
- **User rejects the candidate with a load-bearing reason?** Offer an ADR, framed as: _"Want me to record this as an ADR so future architecture reviews don't re-suggest it?"_ Only offer when the reason would actually be needed by a future explorer to avoid re-suggesting the same thing — skip ephemeral reasons ("not worth it right now") and self-evident ones.
- **Want to explore alternative interfaces for the deepened module?** Run the `/codebase-design` skill and use its design-it-twice parallel sub-agent pattern.
+3 -3
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@@ -36,7 +36,7 @@ The right shape depends on the question:
Pick whichever shape best fits the question being asked, *not* whichever is easiest to wire to a TUI. Keep it pure: no I/O, no terminal code, no `console.log` for control flow. The TUI imports it and calls into it; nothing flows the other direction.
This is what makes the prototype useful past its own lifetime. When the question's been answered, the validated reducer / machine / function set can be lifted into the real module — the TUI shell gets deleted.
This is what makes the prototype useful past its own lifetime: when the question's been answered, the validated reducer / machine / function set can be lifted into the real module on its own.
### 4. Build the smallest TUI that exposes the state
@@ -66,9 +66,9 @@ If the host project has no task runner, just put the command at the top of the p
Give the user the run command. They'll drive it themselves; the interesting moments are when they say "wait, that shouldn't be possible" or "huh, I assumed X would be different" — those are the bugs in the _idea_, which is the whole point. If they want new actions added, add them. Prototypes evolve.
### 7. Capture the answer
### 7. Capture the answer and the prototype
When the prototype has done its job, the answer to the question is the only thing worth keeping. If the user is around, ask what it taught them. If not, leave a `NOTES.md` next to the prototype so the answer can be filled in (or filled in by you, if you've watched the session) before the prototype gets deleted.
Once the prototype has answered its question, capture the answer, then capture the prototype the way the [SKILL](SKILL.md) describes. The logic-specific mapping: the validated reducer / machine / function set lifts into the real module (the decision, absorbed); the TUI shell rides along to the throwaway branch that keeps the prototype as a primary source.
## Anti-patterns
+3 -7
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@@ -1,6 +1,6 @@
---
name: prototype
description: Build a throwaway prototype to flesh out a design before committing to it. Routes between two branches — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route. Use when the user wants to prototype, sanity-check a data model or state machine, mock up a UI, explore design options, or says "prototype this", "let me play with it", "try a few designs".
description: Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.
---
# Prototype
@@ -21,10 +21,6 @@ The two branches produce very different artifacts — getting this wrong wastes
1. **Throwaway from day one, and clearly marked as such.** Locate the prototype code close to where it will actually be used (next to the module or page it's prototyping for) so context is obvious — but name it so a casual reader can see it's a prototype, not production. For throwaway UI routes, obey whatever routing convention the project already uses; don't invent a new top-level structure.
2. **One command to run.** Whatever the project's existing task runner supports — `pnpm <name>`, `python <path>`, `bun <path>`, etc. The user must be able to start it without thinking.
3. **No persistence by default.** State lives in memory. Persistence is the thing the prototype is _checking_, not something it should depend on. If the question explicitly involves a database, hit a scratch DB or a local file with a clear "PROTOTYPE — wipe me" name.
4. **Skip the polish.** No tests, no error handling beyond what makes the prototype _runnable_, no abstractions. The point is to learn something fast and then delete it.
4. **Skip the polish.** No tests, no error handling beyond what makes the prototype _runnable_, no abstractions. The point is to learn something fast.
5. **Surface the state.** After every action (logic) or on every variant switch (UI), print or render the full relevant state so the user can see what changed.
6. **Delete or absorb when done.** When the prototype has answered its question, either delete it or fold the validated decision into the real code — don't leave it rotting in the repo.
## When done
The _answer_ is the only thing worth keeping from a prototype. Capture it somewhere durable (commit message, ADR, issue, or a `NOTES.md` next to the prototype) along with the question it was answering. If the user is around, that capture is a quick conversation; if not, leave the placeholder so they (or you, on the next pass) can fill in the verdict before deleting the prototype.
6. **Capture it when done.** Fold any validated decision into the real code, then capture the prototype itself as a **primary source**: commit it to a throwaway branch, out of main, and leave a context pointer to that branch on the implementation issue. Capture the answer too — the verdict and the question it settled — in the issue or a commit. The main branch keeps only the validated decision.
+4 -4
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@@ -97,12 +97,12 @@ Surface the URL (and the `?variant=` keys). The user will flip through whenever
### 6. Capture the answer and clean up
Once a variant has won, write down which one and why (commit message, ADR, issue, or a `NOTES.md` next to the prototype if running AFK and the user hasn't responded yet). Then:
Once a variant has won, capture the answer — which variant and why — then capture the prototype the way the [SKILL](SKILL.md) describes. Fold the winner into the real code and move the rest onto the throwaway branch, not into main:
- **Sub-shape A** — delete the losing variants and the switcher; fold the winner into the existing page.
- **Sub-shape B** — promote the winning variant to a real route, delete the throwaway route and the switcher.
- **Sub-shape A** — fold the winner into the existing page; drop the losing variants and the switcher from main.
- **Sub-shape B** — promote the winning variant to a real route; drop the throwaway route and the switcher from main.
Don't leave variant components or the switcher lying around. They rot fast and confuse the next reader.
The full set of variants is the primary source, so it lands on the throwaway branch, not the bin — variant components and the switcher left in the main branch rot fast and confuse the next reader.
## Anti-patterns
+12
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@@ -0,0 +1,12 @@
---
name: research
description: Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
---
Spin up a **background agent** to do the research, so you keep working while it reads.
Its job:
1. Investigate the question against **primary sources** — official docs, source code, specs, first-party APIs — not a secondary write-up of them. Follow every claim back to the source that owns it.
2. Write the findings to a single Markdown file, citing each claim's source.
3. Save it where the repo already keeps such notes; match the existing convention, and if there is none, put it somewhere sensible and say where.
@@ -0,0 +1,14 @@
---
name: resolving-merge-conflicts
description: "Use when you need to resolve an in-progress git merge/rebase conflict."
---
1. **See the current state** of the merge/rebase. Check git history, and the conflicting files.
2. **Find the primary sources** for each conflict. Understand deeply why each change was made, and what the original intent was. Read the commit messages, check the PRs, check original issues/tickets.
3. **Resolve each hunk.** Preserve both intents where possible. Where incompatible, pick the one matching the merge's stated goal and note the trade-off. Do **not** invent new behaviour. Always resolve; never `--abort`.
4. Discover the project's **automated checks** and run them — typically typecheck, then tests, then format. Fix anything the merge broke.
5. **Finish the merge/rebase.** Stage everything and commit. If rebasing, continue the rebase process until all commits are rebased.
@@ -1,6 +1,6 @@
---
name: setup-matt-pocock-skills
description: Sets up an `## Agent skills` block in AGENTS.md/CLAUDE.md and `docs/agents/` so the engineering skills know this repo's issue tracker (GitHub or local markdown), triage label vocabulary, and domain doc layout. Run before first use of `to-issues`, `to-prd`, `triage`, `diagnose`, `tdd`, `improve-codebase-architecture`, or `zoom-out` — or if those skills appear to be missing context about the issue tracker, triage labels, or domain docs.
description: Configure this repo for the engineering skills — set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
disable-model-invocation: true
---
@@ -35,7 +35,7 @@ Assume the user does not know what these terms mean. Each section starts with a
**Section A — Issue tracker.**
> Explainer: The "issue tracker" is where issues live for this repo. Skills like `to-issues`, `triage`, `to-prd`, and `qa` read from and write to it — they need to know whether to call `gh issue create`, write a markdown file under `.scratch/`, or follow some other workflow you describe. Pick the place you actually track work for this repo.
> Explainer: The "issue tracker" is where issues live for this repo. Skills like `to-tickets`, `triage`, `to-spec`, and `qa` read from and write to it — they need to know whether to call `gh issue create`, write a markdown file under `.scratch/`, or follow some other workflow you describe. Pick the place you actually track work for this repo.
Default posture: these skills were designed for GitHub. If a `git remote` points at GitHub, propose that. If a `git remote` points at GitLab (`gitlab.com` or a self-hosted host), propose GitLab. Otherwise (or if the user prefers), offer:
@@ -44,6 +44,12 @@ Default posture: these skills were designed for GitHub. If a `git remote` points
- **Local markdown** — issues live as files under `.scratch/<feature>/` in this repo (good for solo projects or repos without a remote)
- **Other** (Jira, Linear, etc.) — ask the user to describe the workflow in one paragraph; the skill will record it as freeform prose
If — and only if — the user picked **GitHub** or **GitLab**, ask one follow-up:
> Explainer: Open-source repos often receive feature requests as pull requests, not just issues — a PR is an issue with attached code. If you turn this on, `/triage` pulls *external* PRs into the same queue and runs them through the same labels and states as issues (collaborators' in-flight PRs are left alone). Leave it off if PRs aren't a request surface for you.
- **PRs as a request surface** — yes / no (default: no). Record the answer in `docs/agents/issue-tracker.md`. For local-markdown and other trackers, skip this question — there are no PRs.
**Section B — Triage label vocabulary.**
> Explainer: When the `triage` skill processes an incoming issue, it moves it through a state machine — needs evaluation, waiting on reporter, ready for an AFK agent to pick up, ready for a human, or won't fix. To do that, it needs to apply labels (or the equivalent in your issue tracker) that match strings *you've actually configured*. If your repo already uses different label names (e.g. `bug:triage` instead of `needs-triage`), map them here so the skill applies the right ones instead of creating duplicates.
@@ -60,7 +66,7 @@ Default: each role's string equals its name. Ask the user if they want to overri
**Section C — Domain docs.**
> Explainer: Some skills (`improve-codebase-architecture`, `diagnose`, `tdd`) read a `CONTEXT.md` file to learn the project's domain language, and `docs/adr/` for past architectural decisions. They need to know whether the repo has one global context or multiple (e.g. a monorepo with separate frontend/backend contexts) so they look in the right place.
> Explainer: Some skills (`improve-codebase-architecture`, `diagnosing-bugs`, `tdd`) read a `CONTEXT.md` file to learn the project's domain language, and `docs/adr/` for past architectural decisions. They need to know whether the repo has one global context or multiple (e.g. a monorepo with separate frontend/backend contexts) so they look in the right place.
Confirm the layout:
@@ -95,7 +101,7 @@ The block:
### Issue tracker
[one-line summary of where issues are tracked]. See `docs/agents/issue-tracker.md`.
[one-line summary of where issues are tracked, plus whether external PRs are a triage surface]. See `docs/agents/issue-tracker.md`.
### Triage labels
@@ -8,7 +8,7 @@ How the engineering skills should consume this repo's domain documentation when
- **`CONTEXT-MAP.md`** at the repo root if it exists — it points at one `CONTEXT.md` per context. Read each one relevant to the topic.
- **`docs/adr/`** — read ADRs that touch the area you're about to work in. In multi-context repos, also check `src/<context>/docs/adr/` for context-scoped decisions.
If any of these files don't exist, **proceed silently**. Don't flag their absence; don't suggest creating them upfront. The producer skill (`/grill-with-docs`) creates them lazily when terms or decisions actually get resolved.
If any of these files don't exist, **proceed silently**. Don't flag their absence; don't suggest creating them upfront. The `/domain-modeling` skill (reached via `/grill-with-docs` and `/improve-codebase-architecture`) creates them lazily when terms or decisions actually get resolved.
## File structure
@@ -42,7 +42,7 @@ Multi-context repo (presence of `CONTEXT-MAP.md` at the root):
When your output names a domain concept (in an issue title, a refactor proposal, a hypothesis, a test name), use the term as defined in `CONTEXT.md`. Don't drift to synonyms the glossary explicitly avoids.
If the concept you need isn't in the glossary yet, that's a signal — either you're inventing language the project doesn't use (reconsider) or there's a real gap (note it for `/grill-with-docs`).
If the concept you need isn't in the glossary yet, that's a signal — either you're inventing language the project doesn't use (reconsider) or there's a real gap (note it for `/domain-modeling`).
## Flag ADR conflicts
@@ -13,6 +13,18 @@ Issues and PRDs for this repo live as GitHub issues. Use the `gh` CLI for all op
Infer the repo from `git remote -v``gh` does this automatically when run inside a clone.
## Pull requests as a triage surface
**PRs as a request surface: no.** _(Set to `yes` if this repo treats external PRs as feature requests; `/triage` reads this flag.)_
When set to `yes`, PRs run through the same labels and states as issues, using the `gh pr` equivalents:
- **Read a PR**: `gh pr view <number> --comments` and `gh pr diff <number>` for the diff.
- **List external PRs for triage**: `gh pr list --state open --json number,title,body,labels,author,authorAssociation,comments` then keep only `authorAssociation` of `CONTRIBUTOR`, `FIRST_TIME_CONTRIBUTOR`, or `NONE` (drop `OWNER`/`MEMBER`/`COLLABORATOR`).
- **Comment / label / close**: `gh pr comment`, `gh pr edit --add-label`/`--remove-label`, `gh pr close`.
GitHub shares one number space across issues and PRs, so a bare `#42` may be either — resolve with `gh pr view 42` and fall back to `gh issue view 42`.
## When a skill says "publish to the issue tracker"
Create a GitHub issue.
@@ -20,3 +32,14 @@ Create a GitHub issue.
## When a skill says "fetch the relevant ticket"
Run `gh issue view <number> --comments`.
## Wayfinding operations
Used by `/wayfinder`. The **map** is a single issue with **child** issues as tickets.
- **Map**: a single issue labelled `wayfinder:map`, holding the Notes / Decisions-so-far / Fog body. `gh issue create --label wayfinder:map`.
- **Child ticket**: an issue linked to the map as a GitHub sub-issue (`gh api` on the sub-issues endpoint). Where sub-issues aren't enabled, add the child to a task list in the map body and put `Part of #<map>` at the top of the child body. Labels: `wayfinder:<type>` (`research`/`prototype`/`grilling`/`task`). Once claimed, the ticket is assigned to the driving dev.
- **Blocking**: GitHub's **native issue dependencies** — the canonical, UI-visible representation. Add an edge with `gh api --method POST repos/<owner>/<repo>/issues/<child>/dependencies/blocked_by -F issue_id=<blocker-db-id>`, where `<blocker-db-id>` is the blocker's numeric **database id** (`gh api repos/<owner>/<repo>/issues/<n> --jq .id`, _not_ the `#number` or `node_id`). GitHub reports `issue_dependencies_summary.blocked_by` (open blockers only — the live gate). Where dependencies aren't available, fall back to a `Blocked by: #<n>, #<n>` line at the top of the child body. A ticket is unblocked when every blocker is closed.
- **Frontier query**: list the map's open children (`gh issue list --state open`, scoped to the map's sub-issues / task list), drop any with an open blocker (`issue_dependencies_summary.blocked_by > 0`, or an open issue in the `Blocked by` line) or an assignee; first in map order wins.
- **Claim**: `gh issue edit <n> --add-assignee @me` — the session's first write.
- **Resolve**: `gh issue comment <n> --body "<answer>"`, then `gh issue close <n>`, then append a context pointer (gist + link) to the map's Decisions-so-far.
@@ -14,6 +14,18 @@ Issues and PRDs for this repo live as GitLab issues. Use the [`glab`](https://gi
Infer the repo from `git remote -v``glab` does this automatically when run inside a clone.
## Merge requests as a triage surface
**MRs as a request surface: no.** _(Set to `yes` if this repo treats external merge requests as feature requests; `/triage` reads this flag.)_
When set to `yes`, MRs run through the same labels and states as issues, using the `glab mr` equivalents:
- **Read an MR**: `glab mr view <number> --comments` and `glab mr diff <number>` for the diff.
- **List external MRs for triage**: `glab mr list -F json`, then keep only MRs whose author is not a project member/owner (a contributor's MR, not a maintainer's in-flight work).
- **Comment / label / close**: `glab mr note`, `glab mr update --label`/`--unlabel`, `glab mr close`.
Unlike GitHub, GitLab numbers issues and MRs separately, so `#42` is unambiguous once you know which surface the maintainer means.
## When a skill says "publish to the issue tracker"
Create a GitLab issue.
@@ -21,3 +33,14 @@ Create a GitLab issue.
## When a skill says "fetch the relevant ticket"
Run `glab issue view <number> --comments`.
## Wayfinding operations
Used by `/wayfinder`. The **map** is a single issue with **child** issues as tickets.
- **Map**: a single issue labelled `wayfinder:map`, holding the Notes / Decisions-so-far / Fog body. `glab issue create --label wayfinder:map`. (On GitLab tiers with native epics, an epic may hold the map instead; a labelled issue works everywhere.)
- **Child ticket**: an issue carrying `Part of #<map>` at the top of its description and labels `wayfinder:<type>` (`research`/`prototype`/`grilling`/`task`). Once claimed, the ticket is assigned to the driving dev.
- **Blocking**: GitLab's **native blocking link** — the canonical, UI-visible representation. Add it with the `/blocked_by #<n>` quick action, posted as a note (`glab issue note <child> --message "/blocked_by #<blocker>"`). Native blocking links are a Premium/Ultimate feature; on the free tier (or where unavailable) fall back to a `Blocked by: #<n>, #<n>` line at the top of the description. A ticket is unblocked when every blocker is closed.
- **Frontier query**: `glab issue list -F json` scoped to the map's children, drop any with an open blocker — a native `blocked_by` link to an open issue (`glab api projects/:id/issues/:iid/links`), or an open issue in the `Blocked by` line — or an assignee; first in map order wins.
- **Claim**: `glab issue update <n> --assignee @me` — the session's first write.
- **Resolve**: `glab issue note <n> --message "<answer>"`, then `glab issue close <n>`, then append a context pointer (gist + link) to the map's Decisions-so-far.
@@ -17,3 +17,14 @@ Create a new file under `.scratch/<feature-slug>/` (creating the directory if ne
## When a skill says "fetch the relevant ticket"
Read the file at the referenced path. The user will normally pass the path or the issue number directly.
## Wayfinding operations
Used by `/wayfinder`. The **map** is a file with one **child** file per ticket.
- **Map**: `.scratch/<effort>/map.md` — the Notes / Decisions-so-far / Fog body.
- **Child ticket**: `.scratch/<effort>/issues/NN-<slug>.md`, numbered from `01`, with the question in the body. A `Type:` line records the ticket type (`research`/`prototype`/`grilling`/`task`); a `Status:` line records `claimed`/`resolved`.
- **Blocking**: a `Blocked by: NN, NN` line near the top. A ticket is unblocked when every file it lists is `resolved`.
- **Frontier**: scan `.scratch/<effort>/issues/` for files that are open, unblocked, and unclaimed; first by number wins.
- **Claim**: set `Status: claimed` and save before any work.
- **Resolve**: append the answer under an `## Answer` heading, set `Status: resolved`, then append a context pointer (gist + link) to the map's Decisions-so-far in `map.md`.
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@@ -1,109 +1,36 @@
---
name: tdd
description: Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.
description: Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
---
# Test-Driven Development
## Philosophy
TDD is the red → green loop. This skill is the reference that makes that loop produce tests worth keeping: what a good test is, where tests go, the anti-patterns, and the rules of the loop. Every section applies on every cycle — consult them before and during the loop, not after.
**Core principle**: Tests should verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't.
When exploring the codebase, read `CONTEXT.md` (if it exists) so test names and interface vocabulary match the project's domain language, and respect ADRs in the area you're touching.
**Good tests** are integration-style: they exercise real code paths through public APIs. They describe _what_ the system does, not _how_ it does it. A good test reads like a specification - "user can checkout with valid cart" tells you exactly what capability exists. These tests survive refactors because they don't care about internal structure.
## What a good test is
**Bad tests** are coupled to implementation. They mock internal collaborators, test private methods, or verify through external means (like querying a database directly instead of using the interface). The warning sign: your test breaks when you refactor, but behavior hasn't changed. If you rename an internal function and tests fail, those tests were testing implementation, not behavior.
Tests verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't. A good test reads like a specification — "user can checkout with valid cart" tells you exactly what capability exists — and survives refactors because it doesn't care about internal structure.
See [tests.md](tests.md) for examples and [mocking.md](mocking.md) for mocking guidelines.
## Anti-Pattern: Horizontal Slices
## Seams — where tests go
**DO NOT write all tests first, then all implementation.** This is "horizontal slicing" - treating RED as "write all tests" and GREEN as "write all code."
A **seam** is the public boundary you test at: the interface where you observe behavior without reaching inside. Tests live at seams, never against internals.
This produces **crap tests**:
**Test only at pre-agreed seams.** Before writing any test, write down the seams under test and confirm them with the user. No test is written at an unconfirmed seam. You can't test everything — agreeing the seams up front is how testing effort lands on the critical paths and complex logic instead of every edge case.
- Tests written in bulk test _imagined_ behavior, not _actual_ behavior
- You end up testing the _shape_ of things (data structures, function signatures) rather than user-facing behavior
- Tests become insensitive to real changes - they pass when behavior breaks, fail when behavior is fine
- You outrun your headlights, committing to test structure before understanding the implementation
Ask: "What's the public interface, and which seams should we test?"
**Correct approach**: Vertical slices via tracer bullets. One test → one implementation → repeat. Each test responds to what you learned from the previous cycle. Because you just wrote the code, you know exactly what behavior matters and how to verify it.
## Anti-patterns
```
WRONG (horizontal):
RED: test1, test2, test3, test4, test5
GREEN: impl1, impl2, impl3, impl4, impl5
- **Implementation-coupled** — mocks internal collaborators, tests private methods, or verifies through a side channel (querying the database instead of using the interface). The tell: the test breaks when you refactor but behavior hasn't changed.
- **Tautological** — the assertion recomputes the expected value the way the code does (`expect(add(a, b)).toBe(a + b)`, a snapshot derived by hand the same way, a constant asserted equal to itself), so it passes by construction and can never disagree with the code. Expected values must come from an independent source of truth — a known-good literal, a worked example, the spec.
- **Horizontal slicing** — writing all tests first, then all implementation. Bulk tests verify _imagined_ behavior: you test the _shape_ of things rather than user-facing behavior, the tests go insensitive to real changes, and you commit to test structure before understanding the implementation. Work in **vertical slices** instead — one test → one implementation → repeat, each test a **tracer bullet** that responds to what the last cycle taught you.
RIGHT (vertical):
RED→GREEN: test1→impl1
RED→GREEN: test2→impl2
RED→GREEN: test3→impl3
...
```
## Rules of the loop
## Workflow
### 1. Planning
When exploring the codebase, use the project's domain glossary so that test names and interface vocabulary match the project's language, and respect ADRs in the area you're touching.
Before writing any code:
- [ ] Confirm with user what interface changes are needed
- [ ] Confirm with user which behaviors to test (prioritize)
- [ ] Identify opportunities for [deep modules](deep-modules.md) (small interface, deep implementation)
- [ ] Design interfaces for [testability](interface-design.md)
- [ ] List the behaviors to test (not implementation steps)
- [ ] Get user approval on the plan
Ask: "What should the public interface look like? Which behaviors are most important to test?"
**You can't test everything.** Confirm with the user exactly which behaviors matter most. Focus testing effort on critical paths and complex logic, not every possible edge case.
### 2. Tracer Bullet
Write ONE test that confirms ONE thing about the system:
```
RED: Write test for first behavior → test fails
GREEN: Write minimal code to pass → test passes
```
This is your tracer bullet - proves the path works end-to-end.
### 3. Incremental Loop
For each remaining behavior:
```
RED: Write next test → fails
GREEN: Minimal code to pass → passes
```
Rules:
- One test at a time
- Only enough code to pass current test
- Don't anticipate future tests
- Keep tests focused on observable behavior
### 4. Refactor
After all tests pass, look for [refactor candidates](refactoring.md):
- [ ] Extract duplication
- [ ] Deepen modules (move complexity behind simple interfaces)
- [ ] Apply SOLID principles where natural
- [ ] Consider what new code reveals about existing code
- [ ] Run tests after each refactor step
**Never refactor while RED.** Get to GREEN first.
## Checklist Per Cycle
```
[ ] Test describes behavior, not implementation
[ ] Test uses public interface only
[ ] Test would survive internal refactor
[ ] Code is minimal for this test
[ ] No speculative features added
```
- **Red before green.** Write the failing test first, then only enough code to pass it. Don't anticipate future tests or add speculative features.
- **One slice at a time.** One seam, one test, one minimal implementation per cycle.
- **Refactoring is not part of the loop.** It belongs to the review stage (see the `code-review` skill), not the red → green implementation cycle.
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@@ -1,33 +0,0 @@
# Deep Modules
From "A Philosophy of Software Design":
**Deep module** = small interface + lots of implementation
```
┌─────────────────────┐
│ Small Interface │ ← Few methods, simple params
├─────────────────────┤
│ │
│ │
│ Deep Implementation│ ← Complex logic hidden
│ │
│ │
└─────────────────────┘
```
**Shallow module** = large interface + little implementation (avoid)
```
┌─────────────────────────────────┐
│ Large Interface │ ← Many methods, complex params
├─────────────────────────────────┤
│ Thin Implementation │ ← Just passes through
└─────────────────────────────────┘
```
When designing interfaces, ask:
- Can I reduce the number of methods?
- Can I simplify the parameters?
- Can I hide more complexity inside?
@@ -1,31 +0,0 @@
# Interface Design for Testability
Good interfaces make testing natural:
1. **Accept dependencies, don't create them**
```typescript
// Testable
function processOrder(order, paymentGateway) {}
// Hard to test
function processOrder(order) {
const gateway = new StripeGateway();
}
```
2. **Return results, don't produce side effects**
```typescript
// Testable
function calculateDiscount(cart): Discount {}
// Hard to test
function applyDiscount(cart): void {
cart.total -= discount;
}
```
3. **Small surface area**
- Fewer methods = fewer tests needed
- Fewer params = simpler test setup
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@@ -1,10 +0,0 @@
# Refactor Candidates
After TDD cycle, look for:
- **Duplication** → Extract function/class
- **Long methods** → Break into private helpers (keep tests on public interface)
- **Shallow modules** → Combine or deepen
- **Feature envy** → Move logic to where data lives
- **Primitive obsession** → Introduce value objects
- **Existing code** the new code reveals as problematic
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@@ -59,3 +59,19 @@ test("createUser makes user retrievable", async () => {
expect(retrieved.name).toBe("Alice");
});
```
**Tautological tests**: Expected value restates the implementation, so the test passes by construction.
```typescript
// BAD: Expected value is recomputed the way the code computes it
test("calculateTotal sums line items", () => {
const items = [{ price: 10 }, { price: 5 }];
const expected = items.reduce((sum, i) => sum + i.price, 0);
expect(calculateTotal(items)).toBe(expected);
});
// GOOD: Expected value is an independent, known literal
test("calculateTotal sums line items", () => {
expect(calculateTotal([{ price: 10 }, { price: 5 }])).toBe(15);
});
```
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---
name: to-issues
description: Break a plan, spec, or PRD into independently-grabbable issues on the project issue tracker using tracer-bullet vertical slices. Use when user wants to convert a plan into issues, create implementation tickets, or break down work into issues.
---
# To Issues
Break a plan into independently-grabbable issues using vertical slices (tracer bullets).
The issue tracker and triage label vocabulary should have been provided to you — run `/setup-matt-pocock-skills` if not.
## Process
### 1. Gather context
Work from whatever is already in the conversation context. If the user passes an issue reference (issue number, URL, or path) as an argument, fetch it from the issue tracker and read its full body and comments.
### 2. Explore the codebase (optional)
If you have not already explored the codebase, do so to understand the current state of the code. Issue titles and descriptions should use the project's domain glossary vocabulary, and respect ADRs in the area you're touching.
### 3. Draft vertical slices
Break the plan into **tracer bullet** issues. Each issue is a thin vertical slice that cuts through ALL integration layers end-to-end, NOT a horizontal slice of one layer.
Slices may be 'HITL' or 'AFK'. HITL slices require human interaction, such as an architectural decision or a design review. AFK slices can be implemented and merged without human interaction. Prefer AFK over HITL where possible.
<vertical-slice-rules>
- Each slice delivers a narrow but COMPLETE path through every layer (schema, API, UI, tests)
- A completed slice is demoable or verifiable on its own
- Prefer many thin slices over few thick ones
</vertical-slice-rules>
### 4. Quiz the user
Present the proposed breakdown as a numbered list. For each slice, show:
- **Title**: short descriptive name
- **Type**: HITL / AFK
- **Blocked by**: which other slices (if any) must complete first
- **User stories covered**: which user stories this addresses (if the source material has them)
Ask the user:
- Does the granularity feel right? (too coarse / too fine)
- Are the dependency relationships correct?
- Should any slices be merged or split further?
- Are the correct slices marked as HITL and AFK?
Iterate until the user approves the breakdown.
### 5. Publish the issues to the issue tracker
For each approved slice, publish a new issue to the issue tracker. Use the issue body template below. These issues are considered ready for AFK agents, so publish them with the correct triage label unless instructed otherwise.
Publish issues in dependency order (blockers first) so you can reference real issue identifiers in the "Blocked by" field.
<issue-template>
## Parent
A reference to the parent issue on the issue tracker (if the source was an existing issue, otherwise omit this section).
## What to build
A concise description of this vertical slice. Describe the end-to-end behavior, not layer-by-layer implementation.
Avoid specific file paths or code snippets — they go stale fast. Exception: if a prototype produced a snippet that encodes a decision more precisely than prose can (state machine, reducer, schema, type shape), inline it here and note briefly that it came from a prototype. Trim to the decision-rich parts — not a working demo, just the important bits.
## Acceptance criteria
- [ ] Criterion 1
- [ ] Criterion 2
- [ ] Criterion 3
## Blocked by
- A reference to the blocking ticket (if any)
Or "None - can start immediately" if no blockers.
</issue-template>
Do NOT close or modify any parent issue.
@@ -1,25 +1,24 @@
---
name: to-prd
description: Turn the current conversation context into a PRD and publish it to the project issue tracker. Use when user wants to create a PRD from the current context.
name: to-spec
description: Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.
disable-model-invocation: true
---
This skill takes the current conversation context and codebase understanding and produces a PRD. Do NOT interview the user — just synthesize what you already know.
This skill takes the current conversation context and codebase understanding and produces a spec (you may know this document as a PRD). Do NOT interview the user — just synthesize what you already know.
The issue tracker and triage label vocabulary should have been provided to you — run `/setup-matt-pocock-skills` if not.
## Process
1. Explore the repo to understand the current state of the codebase, if you haven't already. Use the project's domain glossary vocabulary throughout the PRD, and respect any ADRs in the area you're touching.
1. Explore the repo to understand the current state of the codebase, if you haven't already. Use the project's domain glossary vocabulary throughout the spec, and respect any ADRs in the area you're touching.
2. Sketch out the major modules you will need to build or modify to complete the implementation. Actively look for opportunities to extract deep modules that can be tested in isolation.
2. Sketch out the seams at which you're going to test the feature. Existing seams should be preferred to new ones. Use the highest seam possible. If new seams are needed, propose them at the highest point you can. The fewer seams across the codebase, the better - the ideal number is one.
A deep module (as opposed to a shallow module) is one which encapsulates a lot of functionality in a simple, testable interface which rarely changes.
Check with the user that these seams match their expectations.
Check with the user that these modules match their expectations. Check with the user which modules they want tests written for.
3. Write the spec using the template below, then publish it to the project issue tracker. Apply the `ready-for-agent` triage label - no need for additional triage.
3. Write the PRD using the template below, then publish it to the project issue tracker. Apply the `ready-for-agent` triage label - no need for additional triage.
<prd-template>
<spec-template>
## Problem Statement
@@ -67,10 +66,10 @@ A list of testing decisions that were made. Include:
## Out of Scope
A description of the things that are out of scope for this PRD.
A description of the things that are out of scope for this spec.
## Further Notes
Any further notes about the feature.
</prd-template>
</spec-template>
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---
name: to-tickets
description: Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker — edges as text in a local file, or native blocking links on a real tracker.
disable-model-invocation: true
---
# To Tickets
Break a plan, spec, or conversation into a set of **tickets** — tracer-bullet vertical slices, each declaring the tickets that **block** it.
The issue tracker and triage label vocabulary should have been provided to you — run `/setup-matt-pocock-skills` if not.
## Process
### 1. Gather context
Work from whatever is already in the conversation context. If the user passes a reference (a spec path, an issue number or URL) as an argument, fetch it and read its full body and comments.
### 2. Explore the codebase (optional)
If you have not already explored the codebase, do so to understand the current state of the code. Ticket titles and descriptions should use the project's domain glossary vocabulary, and respect ADRs in the area you're touching.
Look for opportunities to prefactor the code to make the implementation easier. "Make the change easy, then make the easy change."
### 3. Draft vertical slices
Break the work into **tracer bullet** tickets.
<vertical-slice-rules>
- Each slice cuts a narrow but COMPLETE path through every layer (schema, API, UI, tests) — vertical, NOT a horizontal slice of one layer
- A completed slice is demoable or verifiable on its own
- Each slice is sized to fit in a single fresh context window
- Any prefactoring should be done first
</vertical-slice-rules>
Give each ticket its **blocking edges** — the other tickets that must complete before it can start. A ticket with no blockers can start immediately.
**Wide refactors are the exception to vertical slicing.** A **wide refactor** is one mechanical change — rename a column, retype a shared symbol — whose **blast radius** fans across the whole codebase, so a single edit breaks thousands of call sites at once and no vertical slice can land green. Don't force it into a tracer bullet; sequence it as **expandcontract**. First expand: add the new form beside the old so nothing breaks. Then migrate the call sites over in batches sized by blast radius (per package, per directory), each batch its own ticket blocked by the expand, keeping CI green batch to batch because the old form still exists. Finally contract: delete the old form once no caller remains, in a ticket blocked by every migrate batch. When even the batches can't stay green alone, keep the sequence but let them share an integration branch that all block a final integrate-and-verify ticket — green is promised only there.
### 4. Quiz the user
Present the proposed breakdown as a numbered list. For each ticket, show:
- **Title**: short descriptive name
- **Blocked by**: which other tickets (if any) must complete first
- **What it delivers**: the end-to-end behaviour this ticket makes work
Ask the user:
- Does the granularity feel right? (too coarse / too fine)
- Are the blocking edges correct — does each ticket only depend on tickets that genuinely gate it?
- Should any tickets be merged or split further?
Iterate until the user approves the breakdown.
### 5. Publish the tickets to the configured tracker
Publish the approved tickets. **How** depends on the tracker `/setup-matt-pocock-skills` configured — the tickets are the same either way, only the shape of the blocking edges changes:
- **Local files** → write one `tickets.md` in the repo root, all tickets in dependency order (blockers first), each with its "Blocked by" listing the titles it depends on. Use the file template below.
- **A real issue tracker (GitHub, Linear, …)** → publish one issue per ticket in dependency order (blockers first) so each ticket's blocking edges can reference real identifiers. Use the platform's native blocking / sub-issue relationship where it has one; otherwise set each ticket's "Blocked by" to the blocking issues. Apply the `ready-for-agent` triage label unless instructed otherwise — the tickets are agent-grabbable by construction.
Do NOT close or modify any parent issue.
<tickets-file-template>
# Tickets: <short name of the work>
A one-line summary of what these tickets build. Reference the source spec if there is one.
Work the **frontier**: any ticket whose blockers are all done. For a purely linear chain that means top to bottom.
## <Ticket title>
**What to build:** the end-to-end behaviour this ticket makes work, from the user's perspective — not a layer-by-layer implementation list.
**Blocked by:** the titles of the tickets that gate this one, or "None — can start immediately".
- [ ] Acceptance criterion 1
- [ ] Acceptance criterion 2
## <Ticket title>
...
</tickets-file-template>
<issue-template>
## Parent
A reference to the parent issue on the tracker (if the source was an existing issue, otherwise omit this section).
## What to build
The end-to-end behaviour this ticket makes work, from the user's perspective — not layer-by-layer implementation.
## Acceptance criteria
- [ ] Criterion 1
- [ ] Criterion 2
## Blocked by
- A reference to each blocking ticket, or "None — can start immediately".
</issue-template>
In either form, avoid specific file paths or code snippets — they go stale fast. Exception: if a prototype produced a snippet that encodes a decision more precisely than prose can (state machine, reducer, schema, type shape), inline it and note briefly that it came from a prototype. Trim to the decision-rich parts — not a working demo, just the important bits.
Work the frontier one ticket at a time with `/implement`, clearing context between tickets.
</content>
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@@ -1,6 +1,8 @@
# Writing Agent Briefs
An agent brief is a structured comment posted on a GitHub issue when it moves to `ready-for-agent`. It is the authoritative specification that an AFK agent will work from. The original issue body and discussion are context — the agent brief is the contract.
An agent brief is a structured comment posted on a GitHub issue or PR when it moves to `ready-for-agent`. It is the authoritative specification that an AFK agent will work from. The original body and discussion are context — the agent brief is the contract.
The brief states **what the agent should do**, which stretches to both surfaces: for an issue, that's building the change from nothing; for a PR, it's what's left to do *to the existing diff* — finish it, close gaps, address review points. Same principles either way; the PR example below shows the difference.
## Principles
@@ -143,6 +145,43 @@ checked for matches.
- Bug reports (only enhancement rejections go to `.out-of-scope/`)
```
### Good agent brief (PR)
For a PR, "Current behavior" describes the state of the diff, and the brief asks the agent to finish or fix it rather than build from scratch.
```markdown
## Agent Brief
**Category:** enhancement
**Summary:** Finish the contributor's `--json` output flag for `triage list`
**Current behavior:**
The PR adds a `--json` flag that serializes the issue list to JSON. The happy
path works and the diff matches the project's command structure. Two gaps
remain: errors are still printed as human text (not JSON), and the new flag has
no test coverage.
**Desired behavior:**
With `--json`, all output — including errors — is well-formed JSON on stdout,
and the command's exit codes are unchanged. The existing human-readable output
is untouched when the flag is absent.
**Key interfaces:**
- The command's error path should emit `{ "error": string }` under `--json`
instead of the plain-text error
- Reuse the existing serializer the PR already added; don't introduce a second
**Acceptance criteria:**
- [ ] `triage list --json` emits valid JSON for both success and error cases
- [ ] Exit codes match the non-JSON command
- [ ] A test covers the `--json` success output and one error case
- [ ] Default (non-JSON) output is byte-for-byte unchanged
**Out of scope:**
- Adding `--json` to any other command
- Changing the JSON shape of the success payload the PR already defined
```
### Bad agent brief
```markdown
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@@ -83,7 +83,11 @@ The maintainer may:
## When to write to `.out-of-scope/`
Only when an **enhancement** (not a bug) is rejected as `wontfix`. The flow:
Only when an **enhancement** (not a bug) is *rejected* as `wontfix`. This applies to enhancement PRs exactly as it does to issues — a rejected PR is recorded here so the same request doesn't return as fresh code.
Do **not** write here when something is closed as `wontfix` because it's **already implemented**. That's a built feature, not a rejected one; recording it would poison the dedup checks with false rejections. Instead, the closing comment points to where the feature already lives.
The flow:
1. Maintainer decides a feature request is out of scope
2. Check if a matching `.out-of-scope/` file already exists
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@@ -1,12 +1,15 @@
---
name: triage
description: Triage issues through a state machine driven by triage roles. Use when user wants to create an issue, triage issues, review incoming bugs or feature requests, prepare issues for an AFK agent, or manage issue workflow.
description: Move issues and external PRs through a state machine of triage roles — categorise, verify, grill if needed, and write agent-ready briefs.
disable-model-invocation: true
---
# Triage
Move issues on the project issue tracker through a small state machine of triage roles.
If this repo treats external pull requests as a request surface (see the issue-tracker config), triage covers them too: **a PR is an issue with attached code** — same roles, same states, same machine, with a few deltas marked "for a PR" below. Resolve a bare `#42` to an issue or PR per the tracker config.
Every comment or issue posted to the issue tracker during triage **must** start with this disclaimer:
```
@@ -33,6 +36,8 @@ Five **state** roles:
- `ready-for-human` — needs human implementation
- `wontfix` — will not be actioned
For a PR, the same states read against the attached code: `ready-for-agent` means a brief is attached and an agent should take the next step on the diff; `ready-for-human` means it's ready for a human to merge.
Every triaged issue should carry exactly one category role and one state role. If state roles conflict, flag it and ask the maintainer before doing anything else.
These are canonical role names — the actual label strings used in the issue tracker may differ. The mapping should have been provided to you - run `/setup-matt-pocock-skills` if not.
@@ -44,7 +49,7 @@ State transitions: an unlabeled issue normally goes to `needs-triage` first; fro
The maintainer invokes `/triage` and describes what they want in natural language. Interpret the request and act. Examples:
- "Show me anything that needs my attention"
- "Let's look at #42"
- "Let's look at #42" (issue or PR)
- "Move #42 to ready-for-agent"
- "What's ready for agents to pick up?"
@@ -56,24 +61,28 @@ Query the issue tracker and present three buckets, oldest first:
2. **`needs-triage`** — evaluation in progress.
3. **`needs-info` with reporter activity since the last triage notes** — needs re-evaluation.
Show counts and a one-line summary per issue. Let the maintainer pick.
When PRs are in scope, include external PRs in these buckets and tag each line `[PR]` or `[issue]`. Discovery surfaces only *external* PRs (the tracker config defines who counts as external) — a collaborator's in-flight PR is not triage work. This filter is discovery-only; an explicitly named PR is always triaged regardless of author.
## Triage a specific issue
Show counts and a one-line summary per item. Let the maintainer pick.
1. **Gather context.** Read the full issue (body, comments, labels, reporter, dates). Parse any prior triage notes so you don't re-ask resolved questions. Explore the codebase using the project's domain glossary, respecting ADRs in the area. Read `.out-of-scope/*.md` and surface any prior rejection that resembles this issue.
## Triage a specific issue or PR
2. **Recommend.** Tell the maintainer your category and state recommendation with reasoning, plus a brief codebase summary relevant to the issue. Wait for direction.
1. **Gather context.** Read the full issue or PR (body, comments, labels, author, dates; for a PR, the diff too). Parse any prior triage notes so you don't re-ask resolved questions. Explore the codebase using the project's domain glossary, respecting ADRs in the area. Run two checks against the codebase: (a) **redundancy** — search for an existing implementation of the requested behavior by domain concept (not just the request's wording), and report where you looked. If found, it's an already-implemented `wontfix` (step 5). (b) **prior rejection** — read `.out-of-scope/*.md` and surface any that resembles this request.
3. **Reproduce (bugs only).** Before any grilling, attempt reproduction: read the reporter's steps, trace the relevant code, run tests or commands. Report what happened — successful repro with code path, failed repro, or insufficient detail (a strong `needs-info` signal). A confirmed repro makes a much stronger agent brief.
2. **Recommend.** Tell the maintainer your category and state recommendation with reasoning, plus a brief codebase summary relevant to the request — including whether it's already implemented. Wait for direction.
4. **Grill (if needed).** If the issue needs fleshing out, run a `/grill-with-docs` session.
3. **Verify the claim.** Before any grilling, check that the claim holds up. For a bug, reproduce it from the reporter's steps. For a PR, confirm the diff does what it claims — check it out, run the relevant tests or commands. Report what happened: confirmed (with code path), failed, or insufficient detail (a strong `needs-info` signal). A confirmed verification makes a much stronger agent brief.
4. **Grill (if needed).** If the request needs fleshing out, run the `/grilling` and `/domain-modeling` skills together — grill it into shape one question at a time, sharpening domain terms and updating `CONTEXT.md`/ADRs inline as decisions land.
5. **Apply the outcome:**
- `ready-for-agent` — post an agent brief comment ([AGENT-BRIEF.md](AGENT-BRIEF.md)).
- `ready-for-human` — same structure as an agent brief, but note why it can't be delegated (judgment calls, external access, design decisions, manual testing).
- `needs-info` — post triage notes (template below).
- `wontfix` (bug) — polite explanation, then close.
- `wontfix` (enhancement) — write to `.out-of-scope/`, link to it from a comment, then close ([OUT-OF-SCOPE.md](OUT-OF-SCOPE.md)).
- `wontfix` — close, with the comment depending on *why*:
- **Already implemented** — the change already exists in the codebase. Point to where it lives; do **not** write to `.out-of-scope/` (that KB is for *rejected* requests, not built ones).
- **Rejected (bug)** — polite explanation, then close.
- **Rejected (enhancement)** — write to `.out-of-scope/`, link to it from a comment, then close ([OUT-OF-SCOPE.md](OUT-OF-SCOPE.md)).
- `needs-triage` — apply the role. Optional comment if there's partial progress.
## Quick state override
@@ -100,4 +109,4 @@ Capture everything resolved during grilling under "established so far" so the wo
## Resuming a previous session
If prior triage notes exist on the issue, read them, check whether the reporter has answered any outstanding questions, and present an updated picture before continuing. Don't re-ask resolved questions.
If prior triage notes exist on the issue or PR, read them, check whether the reporter has answered any outstanding questions, and present an updated picture before continuing. Don't re-ask resolved questions.
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@@ -0,0 +1,127 @@
---
name: wayfinder
description: Plan a huge chunk of work — more than one agent session can hold — as a shared map of investigation tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.
disable-model-invocation: true
---
A loose idea has arrived — too big for one agent session, and wrapped in fog: the way from here to the **destination** isn't visible yet. Wayfinding is about finding that way, not charging at the destination. This skill charts the way as a **shared map** on the repo's issue tracker, then works its tickets one at a time until the route is clear.
The destination varies per effort, and naming it is the first act of charting — it shapes every ticket. It might be a spec to hand off and iterate on, a decision to lock before planning starts, or a change made in place like a data-structure migration. The map is domain-agnostic — engineering work, course content, whatever fits the shape.
## Plan, don't do
Wayfinder is **planning** by default: each ticket resolves a decision, and the map is done when the way is clear — nothing left to decide before someone goes and does the thing. The pull to just do the work is usually the signal you've reached the edge of the map and it's time to hand off. An effort can override this in its **Notes** — carrying execution into the map itself — but absent that, produce decisions, not deliverables.
## Refer by name
Every map and ticket is an issue, so it has a **name** — its title. In everything the human reads — narration, the map's Decisions-so-far — refer to it by that name, never by a bare id, number, or slug. A wall of `#42, #43, #44` is illegible; names read at a glance. The id and URL don't vanish — a name wraps its link — but they ride *inside* the name, never stand in for it.
## The Map
The map is a single issue on this repo's issue tracker, labelled `wayfinder:map` — the canonical artifact. Its tickets are child issues of the map.
The map is an **index**, not a store. It lists the decisions made and points at the tickets that hold their detail; a decision lives in exactly one place — its ticket — so the map never restates it, only gists it and links.
**Where the map, its child tickets, blocking, and frontier queries physically live is tracker-specific.** The issue tracker should have been provided to you — run `/setup-matt-pocock-skills` if not. Consult the tracker doc's "Wayfinding operations" section for how _this_ repo expresses them. If no tracker has been provided, default to the local-markdown tracker.
### The map body
The whole map at low resolution, loaded once per session. Open tickets are **not** listed — they are open child issues, found by query.
```markdown
## Destination
<what reaching the end of this map looks like — the spec, decision, or change this effort is finding its way to. One or two lines; every session orients to it before choosing a ticket.>
## Notes
<domain; skills every session should consult; standing preferences for this effort>
## Decisions so far
<!-- the index — one line per closed ticket: enough to judge relevance, then zoom the link for the detail the ticket holds -->
- [<closed ticket title>](link) — <one-line gist of the answer>
## Not yet specified
<!-- see "Fog of war": in-scope fog you can't ticket yet; graduates as the frontier advances -->
## Out of scope
<!-- see "Out of scope": work ruled beyond the destination; closed, never graduates -->
```
### Tickets
Each ticket is a **child issue** of the map; the tracker's issue id is its identity. Its body is the question, sized to one 100K token agent session:
```markdown
## Question
<the decision or investigation this ticket resolves>
```
Each ticket carries a `wayfinder:<type>` label — one of `research`, `prototype`, `grilling`, `task` (see [Ticket Types](#ticket-types)).
A session **claims** a ticket by assigning it to the dev driving the map, **first**, before any work, so concurrent sessions skip it. That assignee _is_ the claim: an open, unassigned ticket is unclaimed.
Blocking uses the tracker's **native** dependency relationship — essential because it renders the frontier _visually_ in the tracker's own UI, so the human sees what's takeable without opening the map. Only a tracker that lacks native blocking falls back to a body convention. A ticket is **unblocked** when every ticket blocking it is closed; the **frontier** is the open, unblocked, unclaimed children — the edge of the known.
The answer isn't part of the body — it's recorded on resolution (see [Work through the map](#work-through-the-map)). Assets created while resolving a ticket are linked from the issue, not pasted in.
## Ticket Types
Every ticket is either **HITL** — human in the loop, worked *with* a human who speaks for themselves — or **AFK**, driven by the agent alone. A HITL ticket only resolves through that live exchange; the agent never stands in for the human's side of it (a grilling agent that answers its own questions has broken this).
- **Research** (AFK): Reading documentation, third-party APIs, or local resources like knowledge bases. Creates a markdown summary as a linked asset. Use when knowledge outside the current working directory is required.
- **Prototype** (HITL): Raise the fidelity of the discussion by making a cheap, rough, concrete artifact to react to — an outline, a rough take, a stub, or UI/logic code via the /prototype skill. Links the prototype as an asset. Use when "how should it look" or "how should it behave" is the key question.
- **Grilling** (HITL): Conversation via the /grilling and /domain-modeling skills, one question at a time. The default case.
- **Task** (HITL or AFK): Manual work that must happen before a *decision* can be made — nothing to decide, prototype, or research, but the discussion is blocked until it's done. Signing up for a service so its API can be judged, provisioning access, moving data so its shape can be seen. This is the one type that *does* rather than decides — and it earns its place by unblocking a decision, not by delivering the destination. The agent drives it alone where it can (AFK); otherwise it hands the human a precise checklist (HITL). Resolved when the work is done; the answer records what was done and any resulting facts (credentials location, new URLs, row counts) later tickets depend on.
## Fog of war
The map is _deliberately_ incomplete: don't chart what you can't yet see. Beyond the live tickets lies the **fog of war** — the dim view of decisions and investigations you can tell are coming but can't yet pin down, because they hang on questions still open. Resolving a ticket clears the fog ahead of it, graduating whatever's now specifiable into fresh tickets — one at a time, until the way to the destination is clear and no tickets remain.
The map's **Not yet specified** section is where that dim view is written down: the suspected question, the area to revisit later. It's the undiscovered frontier _toward_ the destination — everything here is in scope, just not sharp enough to ticket. Write as loosely or as fully as the view allows; it doubles as a signpost for collaborators reading where the effort is headed.
**Fog or ticket?** The test is whether you can state the question precisely now — _not_ whether you can answer it now.
- **Ticket when** the question is already sharp — even if it's blocked and you can't act on it yet.
- **Not yet specified when** you can't yet phrase it that sharply. Don't pre-slice the fog into ticket-sized pieces: it's coarser than a ticket, and one patch may graduate into several tickets, or none, once the frontier reaches it.
**Not yet specified** excludes what's already decided (Decisions so far), what's already a live ticket, and what's out of scope (the next section).
## Out of scope
Fog only ever gathers _toward_ the destination. The destination fixes the scope, so work beyond it is **out of scope** — it isn't fog, and it doesn't belong in **Not yet specified**. It gets its own **Out of scope** section on the map: work you've consciously ruled out of _this_ effort. Scope, not sharpness, lands it here.
Out-of-scope work never graduates — the frontier stops at the destination — so it returns only if the destination is redrawn, and then as a fresh effort, not a resumption.
Ruling something out of scope is a scoping act, not a step on the route. When a ticket that already exists turns out to sit past the destination — mis-scoped in while charting, or exposed by a resolution — **close it** (a closed ticket is unambiguously off the frontier) and leave one line in the **Out of scope** section: the gist plus why it's out of scope, linking the closed ticket. It stays out of **Decisions so far**, which records the route actually walked — a scope boundary isn't a step on it.
## Invocation
Two modes. Either way, **never resolve more than one ticket per session.**
### Chart the map
User invokes with a loose idea.
1. **Name the destination.** Run a `/grilling` and `/domain-modeling` session to pin down what this map is finding its way to — the spec, decision, or change. The destination fixes the scope, so it's settled first.
2. **Map the frontier.** Grill again, **breadth-first** this time: fan out across the whole space rather than deep on any one thread, surfacing the open decisions and the first steps takeable now. **If this surfaces no fog** — the way to the destination is already clear, the whole journey small enough for one session — you don't need a map. Stop and ask the user how they'd like to proceed.
3. **Create the map** (label `wayfinder:map`): Destination and Notes filled in, Decisions-so-far empty, the fog sketched into **Not yet specified**.
4. **Create the tickets you can specify now** as child issues of the map — then wire blocking edges in a **second pass** (issues need ids before they can reference each other). Wiring sorts them into the frontier and the blocked; everything you can't yet specify stays in the fog — the **Not yet specified** section.
5. Stop — charting the map is one session's work; do not also resolve tickets.
### Work through the map
User invokes with a map (URL or number). A ticket is **optional** — without one, you pick the next decision, not the user.
1. Load the **map** — the low-res view, not every ticket body.
2. Choose the ticket. If the user named one, use it. Otherwise take the first frontier ticket in order. **Claim it**: assign it to yourself before any work.
3. Resolve it — **zoom as needed**: fetch the full body of any related or closed ticket on demand; invoke the skills the `## Notes` block names. If in doubt, use `/grilling` and `/domain-modeling`.
4. Record the resolution: post the answer as a **resolution comment**, **close** the issue, and **append a context pointer** to the map's Decisions-so-far.
5. Add newly-surfaced tickets (create-then-wire); graduate any fog the answer has made specifiable, clearing each graduated patch from **Not yet specified** so it lives only as its new ticket. If the answer reveals a ticket — this one or another — sits beyond the destination, **rule it out of scope** rather than resolving it on the route. If the decision invalidates other parts of the map, update or delete those tickets.
The user may run unblocked tickets in parallel, so expect other sessions to be editing the tracker concurrently.
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---
name: zoom-out
description: Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.
disable-model-invocation: true
---
I don't know this area of code well. Go up a layer of abstraction. Give me a map of all the relevant modules and callers, using the project's domain glossary vocabulary.
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Skills that are still being developed. They're not ready to ship — expect rough edges, breaking changes, and abandoned experiments. They're excluded from the plugin and the top-level README until they graduate to a stable bucket.
- **[review](./review/SKILL.md)** — Review changes since a fixed point along two parallel axes: **Standards** (does the diff follow the repo's coding standards?) and **Spec** (does the diff faithfully implement the originating issue/PRD?).
- **[loop-me](./loop-me/SKILL.md)** — Grill yourself into implementable workflow specs over multiple sessions, using the current directory as a stateful workspace. User-invoked.
- **[wizard](./wizard/SKILL.md)** — Generate an interactive bash wizard that walks a human through a manual procedure (setup, a one-off migration, a state transition) — opening URLs, capturing values, writing `.env` and GitHub Actions secrets. User-invoked.
- **[writing-beats](./writing-beats/SKILL.md)** — Shape an article as a journey of beats, choose-your-own-adventure style. Pick a starting beat, write only that beat, then pivot to the next, until the article reaches a natural end.
- **[writing-fragments](./writing-fragments/SKILL.md)** — Grilling session that mines you for fragments — heterogeneous nuggets of writing — and appends them to a single document as raw material for a future article.
- **[writing-shape](./writing-shape/SKILL.md)** — Take a markdown file of raw material and shape it into an article paragraph by paragraph, arguing format choices at each step.
- **[claude-handoff](./claude-handoff/SKILL.md)** — Hand the current conversation off to a fresh background agent that picks up the work immediately, seeded with a handoff summary via `claude --bg`. User-invoked.
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---
name: claude-handoff
description: Hand the current conversation off to a fresh background agent that picks up the work immediately.
argument-hint: "What will the next session be used for?"
disable-model-invocation: true
---
Write a handoff summary of the current conversation so a fresh agent can continue the work. Instead of saving it, launch a background agent seeded with the summary as its prompt: `claude --bg --name "<descriptive name>" "<handoff summary>"`. It starts in the current working directory and returns immediately; the user manages it with `claude agents`.
Always pass `-n`/`--name` with a descriptive name (e.g. `--name "Fix login bug"`) — it sets the display name shown in the job list, session picker, and terminal title.
Include a "suggested skills" section in the summary, which suggests skills that the agent should invoke.
Do not duplicate content already captured in other artifacts (PRDs, plans, ADRs, issues, commits, diffs). Reference them by path or URL instead.
Redact any sensitive information, such as API keys, passwords, or personally identifiable information — the summary becomes the agent's prompt.
If the user passed arguments, treat them as a description of what the next session will focus on and tailor the summary accordingly.
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---
name: loop-me
description: Grill me about specs for the workflows I want to build, within this workspace.
disable-model-invocation: true
argument-hint: "A workflow to design, or nothing to go find one"
---
Run a stateful `/grilling` session whose only output is **workflow** specs. Use the grilling discipline — relentless, one question at a time, a recommended answer attached to each — aimed at the vocabulary and goal below. Create, edit, and delete specs as the grilling resolves things.
## The loop lens
A **loop** is a recurring pattern in the user's life: their career, their week, their morning, a single repeated activity. Picturing a life as loops within loops reveals how predictable its activities really are — which is what makes them worth **delegating**. Use the lens to find loops worth specifying, and propose ones the user hasn't noticed.
A **workflow** is the spec of one loop, made real. You run a workflow on a loop — the loop is its running instantiation. Workflows live in `workflows/*.md` and are the source of truth.
## Vocabulary
A shared language, reached for only when a workflow calls for it — never a checklist. **Mandate nothing structural**: a workflow needs no AI, no checkpoint, and no schedule unless the grilling shows it does.
- **Trigger** — what fires each run: an **event** (a new email, a new issue) or a **schedule** (every morning). Event-triggering is usually the more efficient.
- **Checkpoint** — a human-in-the-loop point where the user is asked to verify or decide. Some workflows have none and run autonomously; some use no AI at all.
- **Push right** — defer the checkpoint as far as it will go. Do maximal work before involving the human, so they are asked once, late, with everything prepared.
- **Brief** — what a checkpoint presents: a tight, decision-ready summary — what was produced, why, and a link down to the asset itself — never the raw output. The user reads a brief, not a draft. Speed of review is imperative.
## Definition of done
A workflow spec is done when an implementer agent could build it without asking a single question. Grill until then; nothing is done while a question remains.
## The workspace
- `workflows/*.md` — one spec per workflow.
- `NOTES.md` — raw notes on the user's world: the tools they use, the channels they process, and their own terminology for both. When it is empty or thin, interview them about their world before specifying anything. Sharpen fuzzy terms into canonical ones as they surface, and record them here.
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---
name: review
description: Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
---
# Review
Two-axis review of the diff between `HEAD` and a fixed point the user supplies:
- **Standards** — does the code conform to this repo's documented coding standards?
- **Spec** — does the code faithfully implement the originating issue / PRD / spec?
Both axes run as **parallel sub-agents** so they don't pollute each other's context, then this skill aggregates their findings.
The issue tracker should have been provided to you — run `/setup-matt-pocock-skills` if `docs/agents/issue-tracker.md` is missing.
## Process
### 1. Pin the fixed point
Whatever the user said is the fixed point — a commit SHA, branch name, tag, `main`, `HEAD~5`, etc. Don't be opinionated; pass it through. If they didn't specify one, ask: "Review against what — a branch, a commit, or `main`?" Don't proceed until you have it.
Capture the diff command once: `git diff <fixed-point>...HEAD` (three-dot, so the comparison is against the merge-base). Also note the list of commits via `git log <fixed-point>..HEAD --oneline`.
### 2. Identify the spec source
Look for the originating spec, in this order:
1. Issue references in the commit messages (`#123`, `Closes #45`, GitLab `!67`, etc.) — fetch via the workflow in `docs/agents/issue-tracker.md`.
2. A path the user passed as an argument.
3. A PRD/spec file under `docs/`, `specs/`, or `.scratch/` matching the branch name or feature.
4. If nothing is found, ask the user where the spec is. If they say there isn't one, the **Spec** sub-agent will skip and report "no spec available".
### 3. Identify the standards sources
Anything in the repo that documents how code should be written. Common locations:
- `CLAUDE.md`, `AGENTS.md`
- `CONTRIBUTING.md`
- `CONTEXT.md`, `CONTEXT-MAP.md`, per-context `CONTEXT.md` files
- `docs/adr/` (architectural decisions are standards)
- `.editorconfig`, `eslint.config.*`, `biome.json`, `prettier.config.*`, `tsconfig.json` (machine-enforced standards — note them but don't re-check what tooling already checks)
- Any `STYLE.md`, `STANDARDS.md`, `STYLEGUIDE.md`, or similar at the repo root or under `docs/`
Collect the list of files. The **Standards** sub-agent will read them.
### 4. Spawn both sub-agents in parallel
Send a single message with two `Agent` tool calls. Use the `general-purpose` subagent for both.
**Standards sub-agent prompt** — include:
- The full diff command and commit list.
- The list of standards-source files you found in step 3.
- The brief: "Read the standards docs. Then read the diff. Report — per file/hunk where relevant — every place the diff violates a documented standard. Cite the standard (file + the rule). Distinguish hard violations from judgement calls. Skip anything tooling enforces. Under 400 words."
**Spec sub-agent prompt** — include:
- The diff command and commit list.
- The path or fetched contents of the spec.
- The brief: "Read the spec. Then read the diff. Report: (a) requirements the spec asked for that are missing or partial; (b) behaviour in the diff that wasn't asked for (scope creep); (c) requirements that look implemented but where the implementation looks wrong. Quote the spec line for each finding. Under 400 words."
If the spec is missing, skip the Spec sub-agent and note this in the final report.
### 5. Aggregate
Present the two reports under `## Standards` and `## Spec` headings, verbatim or lightly cleaned. Do **not** merge or rerank findings — the two axes are deliberately separate so the user can see them independently.
End with a one-line summary: total findings per axis, and the worst single issue (if any) flagged.
## Why two axes
A change can pass one axis and fail the other:
- Code that follows every standard but implements the wrong thing → **Standards pass, Spec fail.**
- Code that does exactly what the issue asked but breaks the project's conventions → **Spec pass, Standards fail.**
Reporting them separately stops one axis from masking the other.
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---
name: wizard
description: Generate an interactive bash wizard that walks a human through a manual procedure — third-party setup, a one-off migration, an A→B state transition — opening URLs, capturing values, confirming each step, and writing .env files and GitHub Actions secrets.
disable-model-invocation: true
---
# Wizard
A **wizard** is a bash script that walks a human, step by step, through a manual procedure that's tedious to do by hand and tedious to re-explain to an AI every time. It opens each URL, says exactly what to click and copy, captures the values, writes them where they belong (`.env`, GitHub secrets), confirms at every stage, and shows how much is left. It might configure third-party services, run a one-off migration, or move the project from one state to another.
The delightful UX is already solved by [template.sh](template.sh) — progress with time-remaining, confirmation gates, cross-platform URL opening (including WSL), hidden secret entry, idempotent `.env` upserts, `gh secret`/`gh variable` writes, and a closing summary. **Your job is only to scope the procedure and author its stages.** The library above the `STAGES` marker is identical in every wizard; that consistency is the point — never hand-edit it.
A wizard is ephemeral by default — built for one run, saved to a scratch or `scripts/` path, deleted when the job's done. Commit it only when the user wants a repeatable setup path that should live in the repo.
## Process
### 1. Scope the procedure
Work out every manual step the human must take and every value that gets captured along the way. Read the repo first — don't ask cold:
- For setup: `.env`, `.env.example`, `.env.*`, `README`, `docker-compose*`, framework config, and `.github/workflows/*` (every `secrets.*` / `vars.*` reference is a value the wizard must produce).
- For a migration or transition: the current state, the target state, and the irreversible actions between them.
Then show the user the ordered list of stages and the values each produces, and confirm — they may add, drop, or reorder.
**Done when:** every stage is named in order, and for each captured value you know (a) where the human gets it, (b) where it's written (`.env`, a GitHub secret, both, or nowhere — some stages are pure actions), and (c) whether it's secret (hidden entry) or public.
### 2. Map each stage's journey
For each stage, write the precise path a human follows: which URL to open, what to do there, where a value is shown, which variable it fills — e.g. "Dashboard → Developers → API keys → Reveal test key → copy". Where you don't actually know the current UI or the exact command, say so and ask the user or check the docs — never invent steps that may not exist.
**Done when:** every stage traces to concrete instructions a stranger could follow.
### 3. Author the wizard
Copy `template.sh` to the target path. Replace the example stage with one `stage` per step, in dependency order. Use the library helpers — `stage`, `say`/`step`, `open_url`, `ask`/`ask_secret`, `write_env`, `set_secret`/`set_var`, `pause`/`confirm` — and set `TOTAL_STAGES` and `TOTAL_MINUTES` to honest estimates (this drives the time-remaining display).
Hold the bar the template sets: open the URL before asking for its value, use `ask_secret` for anything secret, `write_env` every persisted value, `set_secret` only the values CI actually needs, and `confirm` before any irreversible action. Each `stage` clears the screen so only the current step is visible — keep a stage to one focused task so nothing the human needs scrolls away. Don't touch the library above the marker.
### 4. Verify and hand off
- `bash -n <script>`; run `shellcheck` if available.
- `chmod +x <script>`.
- Don't run it end-to-end yourself — it opens browsers and blocks on human input. Trace it statically instead: every value from step 1 is captured and lands where step 1 said, and every `set_secret` name exactly matches a `secrets.*` reference in CI.
- Tell the user how to run it. If it's a repeatable setup path, commit it and link it from the README so the next person runs the script instead of asking an AI.
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#!/usr/bin/env bash
#
# A wizard — walks a human through a manual procedure step by step.
# Generated by the /wizard skill.
#
# Everything above the "STAGES" marker is the wizard library: do not hand-edit
# it. Author the per-step stages below the marker.
set -euo pipefail
# ──────────────────────────────────────────────────────────────────────────
# Wizard library — delightful, consistent UX. Identical across every wizard.
# ──────────────────────────────────────────────────────────────────────────
if [[ -t 1 ]] && command -v tput >/dev/null 2>&1 && [[ "$(tput colors 2>/dev/null || echo 0)" -ge 8 ]]; then
BOLD=$(tput bold); DIM=$(tput dim); RESET=$(tput sgr0)
BLUE=$(tput setaf 4); GREEN=$(tput setaf 2); YELLOW=$(tput setaf 3); RED=$(tput setaf 1)
else
BOLD=""; DIM=""; RESET=""; BLUE=""; GREEN=""; YELLOW=""; RED=""
fi
# Author sets these two at the top of the stages section.
TOTAL_STAGES=0
TOTAL_MINUTES=0
_STAGE_INDEX=0
_MINUTES_ELAPSED=0
ENV_FILE="${ENV_FILE:-.env}"
WRITTEN_ENV=() # KEYs written to ENV_FILE this run
WRITTEN_SECRET=() # secret NAMEs set this run
SKIPPED=() # things we couldn't do (e.g. gh missing)
# _clear — wipe the terminal so only the current step is on screen. No-op when
# output isn't a terminal, so piped logs stay readable.
_clear() {
[[ -t 1 ]] || return 0
if command -v tput >/dev/null 2>&1; then tput clear; else printf '\033[2J\033[3J\033[H'; fi
}
# banner "Title" — opening frame: what this wizard does and how long it takes.
banner() {
_clear
printf '\n%s%s %s%s\n' "$BOLD" "$BLUE" "$1" "$RESET"
printf '%s %s stages · about %s minutes%s\n\n' \
"$DIM" "$TOTAL_STAGES" "$TOTAL_MINUTES" "$RESET"
printf '%s You drive the browser; this wizard tells you exactly what to do and\n' "$DIM"
printf ' captures the values you copy back. Stop any time with Ctrl-C and re-run\n'
printf ' later — it remembers values already saved.%s\n' "$RESET"
pause "Ready to start?"
}
# stage "Name" <minutes> — clear the screen, then announce a stage and show
# progress + time remaining. Clearing keeps only the current step on screen.
stage() {
_clear
_STAGE_INDEX=$((_STAGE_INDEX + 1))
local remaining=$((TOTAL_MINUTES - _MINUTES_ELAPSED))
(( remaining < 0 )) && remaining=0
_MINUTES_ELAPSED=$((_MINUTES_ELAPSED + ${2:-0}))
printf '\n%s%s▸ Stage %s/%s · %s%s %s(~%s min left)%s\n' \
"$BOLD" "$BLUE" "$_STAGE_INDEX" "$TOTAL_STAGES" "$1" "$RESET" "$DIM" "$remaining" "$RESET"
}
# say "..." — a plain instruction line.
say() { printf ' %s\n' "$1"; }
# step "..." — a numbered-feeling action the human takes in the browser.
step() { printf ' %s•%s %s\n' "$BLUE" "$RESET" "$1"; }
note() { printf ' %s%s%s\n' "$DIM" "$1" "$RESET"; }
warn() { printf ' %s⚠ %s%s\n' "$YELLOW" "$1" "$RESET"; }
# open_url URL — open in the human's browser, cross-platform incl. WSL.
open_url() {
local url="$1"
printf ' %s↗ opening%s %s\n' "$GREEN" "$RESET" "$url"
{ if command -v wslview >/dev/null 2>&1; then wslview "$url"
elif command -v explorer.exe >/dev/null 2>&1; then explorer.exe "$url"
elif command -v xdg-open >/dev/null 2>&1; then xdg-open "$url"
elif command -v open >/dev/null 2>&1; then open "$url"
else warn "couldn't open a browser — visit it manually: $url"; fi
} >/dev/null 2>&1 || warn "couldn't open a browser — visit it manually: $url"
}
# pause "msg" — wait for the human to confirm they've done the manual part.
pause() {
printf ' %s%s%s ' "$DIM" "${1:-Press Enter to continue}" "$RESET"
read -r _ || true
}
# confirm "question" — y/N gate; returns success on yes.
confirm() {
local reply=""
printf ' %s? %s [y/N] ' "$YELLOW" "$1"
read -r reply || true
[[ "$reply" =~ ^[Yy] ]]
}
# _existing KEY — current value of KEY in ENV_FILE, if any.
_existing() {
[[ -f "$ENV_FILE" ]] || return 1
local line; line=$(grep -E "^${1}=" "$ENV_FILE" | tail -n1) || return 1
printf '%s' "${line#*=}"
}
# ask KEY "Prompt" — read a value into $KEY. Offers the existing .env value as
# a default on re-runs (Enter keeps it). Visible input (non-secret).
ask() {
local key="$1" prompt="$2" current input
current=$(_existing "$key" || true)
if [[ -n "$current" ]]; then
printf ' %s%s%s %s[Enter keeps current]%s ' "$BOLD" "$prompt" "$RESET" "$DIM" "$RESET"
else
printf ' %s%s%s ' "$BOLD" "$prompt" "$RESET"
fi
read -r input || true
[[ -z "$input" && -n "$current" ]] && input="$current"
printf -v "$key" '%s' "$input"
}
# ask_secret KEY "Prompt" — like ask, but input is hidden.
ask_secret() {
local key="$1" prompt="$2" current input
current=$(_existing "$key" || true)
if [[ -n "$current" ]]; then
printf ' %s%s%s %s[Enter keeps current]%s ' "$BOLD" "$prompt" "$RESET" "$DIM" "$RESET"
else
printf ' %s%s%s ' "$BOLD" "$prompt" "$RESET"
fi
read -rs input || true
printf '\n'
[[ -z "$input" && -n "$current" ]] && input="$current"
printf -v "$key" '%s' "$input"
}
# write_env KEY VALUE — upsert KEY=VALUE into ENV_FILE (creates it; replaces
# any existing line). Idempotent.
write_env() {
local key="$1" value="$2" tmp
touch "$ENV_FILE"
tmp=$(mktemp)
grep -vE "^${key}=" "$ENV_FILE" > "$tmp" || true
printf '%s=%s\n' "$key" "$value" >> "$tmp"
mv "$tmp" "$ENV_FILE"
WRITTEN_ENV+=("$key")
printf ' %s✓ wrote%s %s → %s\n' "$GREEN" "$RESET" "$key" "$ENV_FILE"
}
# set_secret NAME VALUE — set a GitHub Actions repo secret via gh. Falls back
# to a warning (and records it) if gh is unavailable or unauthenticated.
set_secret() {
local name="$1" value="$2"
if command -v gh >/dev/null 2>&1 && gh auth status >/dev/null 2>&1; then
if printf '%s' "$value" | gh secret set "$name" >/dev/null 2>&1; then
WRITTEN_SECRET+=("$name")
printf ' %s✓ set%s GitHub secret %s\n' "$GREEN" "$RESET" "$name"
return
fi
fi
SKIPPED+=("GitHub secret $name (set it manually: gh secret set $name)")
warn "skipped GitHub secret $name — gh not ready; set it later"
}
# set_var NAME VALUE — set a GitHub Actions repo variable (non-secret).
set_var() {
local name="$1" value="$2"
if command -v gh >/dev/null 2>&1 && gh auth status >/dev/null 2>&1; then
if gh variable set "$name" --body "$value" >/dev/null 2>&1; then
printf ' %s✓ set%s GitHub variable %s\n' "$GREEN" "$RESET" "$name"
return
fi
fi
SKIPPED+=("GitHub variable $name")
warn "skipped GitHub variable $name — gh not ready; set it later"
}
# finish — clear, then a closing summary of everything configured.
finish() {
_clear
printf '\n%s%s ✓ Setup complete%s\n' "$BOLD" "$GREEN" "$RESET"
(( ${#WRITTEN_ENV[@]} )) && note "wrote ${#WRITTEN_ENV[@]} value(s) to $ENV_FILE: ${WRITTEN_ENV[*]}"
(( ${#WRITTEN_SECRET[@]} )) && note "set ${#WRITTEN_SECRET[@]} GitHub secret(s): ${WRITTEN_SECRET[*]}"
if (( ${#SKIPPED[@]} )); then
printf '\n'; warn "still to do by hand:"
for s in "${SKIPPED[@]}"; do note " - $s"; done
fi
printf '\n'
}
# ──────────────────────────────────────────────────────────────────────────
# STAGES — author this section. One stage() per step the human takes.
# Replace the example below. Set the two totals to match the stages you write.
# ──────────────────────────────────────────────────────────────────────────
TOTAL_STAGES=1
TOTAL_MINUTES=5
banner "Stripe setup"
# ── Example stage: replace with your real steps ───────────────────────────
stage "Stripe — API keys" 5
say "We'll grab your Stripe test keys and store them for local dev + CI."
open_url "https://dashboard.stripe.com/test/apikeys"
step "On the API keys page, copy the Publishable key (starts pk_test_)."
ask STRIPE_PUBLISHABLE_KEY "Paste the publishable key:"
step "Click 'Reveal test key' on the Secret key row, then copy it."
ask_secret STRIPE_SECRET_KEY "Paste the secret key:"
write_env STRIPE_PUBLISHABLE_KEY "$STRIPE_PUBLISHABLE_KEY"
write_env STRIPE_SECRET_KEY "$STRIPE_SECRET_KEY"
set_secret STRIPE_SECRET_KEY "$STRIPE_SECRET_KEY" # CI needs this one
# ──────────────────────────────────────────────────────────────────────────
finish
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---
name: writing-beats
description: Shape an article as a journey of beats, choose-your-own-adventure style. The user picks a starting beat from the raw material, you write only that beat, then offer options for where to pivot next, beat by beat, until the article reaches a natural end. Use when the user has raw material and wants to assemble it as a narrative rather than an argument.
description: Writing, exploit — assemble raw material into a journey of beats, grounding each term before a beat leans on it.
disable-model-invocation: true
---
<what-to-do>
The user has passed (or will pass) a markdown file of raw material.
The user has passed (or will pass) a markdown file of raw material. This is **exploit**: the exploring is done, the pile is fixed — commit to a path through it and mine the pile to fill each beat.
If the user did not say where to save the article, ask once and remember the path.
Then run a beat-by-beat journey:
Then run a beat-by-beat journey, choose-your-own-adventure style:
1. Write 23 candidate **starting beats**, drawn from the raw material. Each is a different entry point into the article. Show the user the beats before writing it to the article file. The user picks one. Preview what beats that might lead to once written - as if the user is seeing a little way down the path.
2. Once the user picks a starting beat, write **only that beat** to the article file. A beat may be one sentence or several paragraphs — whatever that beat naturally is. Stop there.
3. Re-read the article file from disk. Then offer 23 candidate **next beats** — different directions the journey could pivot to from where the article now stands.
4. Loop steps 24 until the article reaches a natural end.
1. **Establish the prerequisites.** Before any beats, settle with the user what the audience already knows walking in — the concepts that are **grounded** from the start. Everything else must be grounded by a beat before a later beat can use it. See [Grounding](#grounding).
2. Write 23 candidate **starting beats**, drawn from the raw material. Each is a different entry point into the article. Each may only lean on grounded concepts; note what new concepts each one grounds. Show the user the beats before writing to the article file. The user picks one. Preview what beats that pick unlocks — as if the user is seeing a little way down the path.
3. Once the user picks a starting beat, write **only that beat** to the article file. A beat may be one sentence or several paragraphs — whatever that beat naturally is. Stop there.
4. Re-read the article file from disk. Then offer 23 candidate **next beats** — different directions the journey could pivot to from where the article now stands. Each must be reachable from the current grounded set; note what each one grounds.
5. Loop steps 35 until the article reaches a natural end.
</what-to-do>
<supporting-info>
## Grounding
Every **concept** has to be **grounded** before a beat can lean on it: the audience either walked in knowing it or met it in an earlier beat. A beat that reaches for an ungrounded concept loses the reader — that is the one move the journey can't make. The unit is the concept, not the word for it: a beat can lean on an idea the reader lacks even with no jargon in sight. Where a concept has a name — a **term** — grounding it means landing the idea and the term together.
A concept gets grounded one of two ways:
- **Prerequisite** — grounded before the first beat. The audience brings it. Fixed at the start.
- **Introduced** — a beat establishes it, and from then on it's grounded for every later beat.
So each beat does two jobs: it **requires** concepts that are already grounded, and it **grounds** new ones. Keep a running list of what's grounded so far, and update it each time a beat lands.
This is what shapes the choose-your-own-adventure. A candidate beat is only reachable if everything it requires is already grounded; picking a beat that grounds concept X unlocks every beat that was waiting on X. When you offer next beats, they must all be reachable from the current grounded set — and say what each one grounds, so the user can see which paths it opens.
The big lever is what you make a prerequisite versus what you ground inside the piece. Demand too much up front and you shut out readers who don't have it; ground too much inside and the early beats drown in definitions. Settle this with the user when you establish prerequisites, and revisit it whenever a tempting beat turns out to require a concept nothing has grounded yet — the fix is either a grounding beat before it, or promoting the concept to a prerequisite.
## What is a beat
A beat is one move in the journey. It does one thing — sets a scene, lands a point, asks a question, drops an aside, twists the angle. Then it stops, leaving the reader at a place where the next beat can pivot.
@@ -32,11 +49,9 @@ A beat is sized by what it needs:
If a "beat" needs five paragraphs and three subheadings, it's not a beat — it's two beats glued together. Split it.
## Writing one beat
## Pulling from the pile
Once a beat is picked, write _that beat only_ to the article file. Do not write the next beat.
Pull material from the raw pile to populate the beat. You can paraphrase, split, recombine, or quote. The pile is a quarry.
Pull material from the raw pile to populate each beat. You can paraphrase, split, recombine, or quote. The pile is a quarry.
## Ending the journey
@@ -1,13 +1,14 @@
---
name: writing-fragments
description: Grilling session that mines the user for fragments — heterogeneous nuggets of writing (claims, vignettes, sharp sentences, half-thoughts) — and appends them to a single document as raw material for a future article. Use when the user wants to develop ideas before imposing structure, or mentions "fragments", "ideate", or "raw material" for writing.
description: Writing, explore — mine raw fragments, no structure yet.
disable-model-invocation: true
---
<what-to-do>
Run a grilling session that produces fragments. Interview the user relentlessly about whatever they want to write about. Do not impose phases, outlines, or structure — that is explicitly out of scope.
This is pure **explore**: widen the space of what could be written without committing to structure — committing is _exploit_, a separate skill's job. Run a grilling session that produces fragments, interviewing the user relentlessly about whatever they want to write about. Imposing phases, outlines, or article structure is out of scope here.
As fragments emerge from either side of the conversation, append them to a single markdown file. The user will be editing this file during the session; always re-read it before writing so their edits are preserved.
As fragments emerge from either side of the conversation, append them to a single markdown file.
If the user did not pass a path, ask once where to save the document, then remember it for the rest of the session.
@@ -32,6 +33,9 @@ Fragments are deliberately heterogeneous. Examples of what could be a fragment:
- A quote, a piece of dialogue, an overheard line.
- A list of related observations that hang together by feel.
- A complaint, a confession, a punchline.
- A **leading word** — a compact metaphor or coinage the whole piece can hang on (one term that names the idea, the way _tracer bullets_ or _fog of war_ names a whole pattern).
Of these, the leading word is the most valuable fragment to land. It is load-bearing: name the right one in explore and it shapes the structure, the transitions, and the title later — paying dividends through the entire exploit phase. When the conversation circles a recurring idea, push to coin a word for it.
The novelist's diary is the model: years of unstructured noticings that later get mined for raw material. Fragments are noticings.
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---
name: writing-shape
description: Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format (lists, tables, callouts, quotes) at each step. Use when the user has a pile of notes, fragments, or a rough draft and wants help turning it into something publishable.
description: Writing, exploit — shape raw material into an article, paragraph by paragraph.
disable-model-invocation: true
---
<what-to-do>
The user has passed (or will pass) a markdown file of raw material. Treat it as the input pile — anything from a tidy list of fragments to a wall of unstructured prose to a transcript. The format does not matter. Read it end-to-end before doing anything else.
Then run a shaping session that produces a separate article document. Do not edit the raw material file — it is read-only to this skill.
Then run a shaping session that produces a separate article document. This is **exploit**: the exploring is done, the pile is fixed — commit to a structure and mine the pile to fill it. Do not edit the raw material file — it is read-only to this skill.
If the user did not say where to save the article, ask once and remember the path. The user will be editing the article file during the session; always re-read it before writing so their edits are preserved.
If the user did not say where to save the article, ask once and remember the path.
</what-to-do>
@@ -18,10 +19,24 @@ If the user did not say where to save the article, ask once and remember the pat
## The loop
1. **Read the pile.** Read the input file in full. Form a sense of what's in it.
2. **Draft 23 candidate openings.** Each opening should imply a different thesis or angle for the article. Show all of them. Force the user to pick or compose a hybrid. The chosen opening defines what the rest of the article must do.
3. **Grow paragraph by paragraph.** After the opening lands, ask "given this opening, what does the reader need to hear next?" Pull material from the pile to answer. Argue about whether the next beat is a paragraph, a list, a table, a callout, a quote, a code block. Each format choice should be deliberate and defensible.
4. **Append to the article file as you go.** Don't batch. Write each agreed paragraph or block immediately so the user can see the article taking shape.
5. **Loop step 3 until the article is done.** The user decides when it's done.
2. **Establish the prerequisites.** Settle with the user what the reader knows walking in — the concepts that are **grounded** from the start. Everything else must be grounded by a block before a later block can lean on it. See [Grounding](#grounding).
3. **Draft 23 candidate openings.** Each opening should imply a different thesis or angle for the article. Show all of them. Force the user to pick or compose a hybrid. The chosen opening defines what the rest of the article must do.
4. **Grow paragraph by paragraph.** After the opening lands, ask "given this opening, what does the reader need to hear next?" Pull material from the pile to answer. The next block may only lean on grounded concepts, and grounds new ones as it lands. Argue about the form the next block takes — a paragraph, a list, a table, a callout, a quote, a code block. Each format choice should be deliberate and defensible.
5. **Append to the article file as you go.** Don't batch. Write each agreed paragraph or block immediately so the user can see the article taking shape.
6. **Loop step 4 until the article is done.** The user decides when it's done.
## Grounding
Every **concept** has to be **grounded** before a block can lean on it: the reader either walked in knowing it or met it in an earlier block. A block that reaches for an ungrounded concept loses the reader. The unit is the concept, not the word for it — a block can lean on an idea the reader lacks even with no jargon in sight. Where a concept has a name — a **term** — grounding it means landing the idea and the term together.
A concept gets grounded one of two ways:
- **Prerequisite** — grounded before the opening. The reader brings it. Fixed at the start.
- **Introduced** — a block establishes it, and from then on it's grounded for the rest of the article.
Keep a running list of what's grounded. When you ask "what does the reader need to hear next?", an ungrounded concept the next move needs is itself the answer: ground it first — here or in an earlier block — or you can't make the move. This is the gap-naming of [Pulling from the pile](#pulling-from-the-pile) one level up: there the pile is missing material; here the article is missing a foundation.
The lever is what you make a prerequisite versus what you ground inside the article. Demand too much up front and you shut readers out; ground too much inside and the opening drowns in definitions. Settle it with the user when you establish prerequisites.
## Conversational feel
@@ -43,7 +58,7 @@ If the pile lacks something the article needs, name the gap explicitly: "We need
## Format arguments to actually have
When choosing how to render a beat, weigh these tradeoffs out loud with the user, not silently:
When choosing how to render a block, weigh these tradeoffs out loud with the user, not silently:
- **Prose vs. list.** Prose carries argument; lists carry parallel items. If items aren't truly parallel, prose is better. If they are, a list is faster to scan.
- **Inline vs. callout.** Tips, warnings, and asides go in callouts (`> [!TIP]`, `> [!NOTE]`) — but only if they'd genuinely derail the main argument inline. Otherwise leave them inline.
@@ -57,7 +72,7 @@ Append to the article file as each block is agreed. Re-read the file from disk b
## Out of scope
- Mining for new fragments that aren't in the pile (the pile is the input — if it's incomplete, name the gap and either get the user to fill it or cut the section).
- Mining for new fragments that aren't in the pile (handle gaps as in "Pulling from the pile").
- Editing the raw material file.
- Publishing, formatting for a specific platform, or adding frontmatter the user didn't ask for.
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# Misc
Tools I keep around but rarely use.
Tools I keep around but rarely use — not promoted in the plugin.
- **[git-guardrails-claude-code](./git-guardrails-claude-code/SKILL.md)** — Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, etc.) before they execute.
- **[migrate-to-shoehorn](./migrate-to-shoehorn/SKILL.md)** — Migrate test files from `as` type assertions to @total-typescript/shoehorn.
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---
name: edit-article
description: Edit and improve articles by restructuring sections, improving clarity, and tightening prose. Use when user wants to edit, revise, or improve an article draft.
disable-model-invocation: true
---
1. First, divide the article into sections based on its headings. Think about the main points you want to make during those sections.
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General workflow tools, not code-specific.
- **[caveman](./caveman/SKILL.md)** — Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler while keeping full technical accuracy.
## User-invoked
Reachable only when you type them (`disable-model-invocation: true`).
- **[grill-me](./grill-me/SKILL.md)** — Get relentlessly interviewed about a plan or design until every branch of the decision tree is resolved.
- **[handoff](./handoff/SKILL.md)** — Compact the current conversation into a handoff document so another agent can continue the work.
- **[write-a-skill](./write-a-skill/SKILL.md)** — Create new skills with proper structure, progressive disclosure, and bundled resources.
- **[teach](./teach/SKILL.md)** — Teach the user a new skill or concept over multiple sessions, using the current directory as a stateful teaching workspace.
- **[writing-great-skills](./writing-great-skills/SKILL.md)** — Reference for writing and editing skills well: the vocabulary and principles that make a skill predictable.
## Model-invoked
Model- or user-reachable (rich trigger phrasing so the model can reach for them).
- **[grilling](./grilling/SKILL.md)** — Interview the user relentlessly about a plan or design until every branch of the decision tree is resolved.
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---
name: caveman
description: >
Ultra-compressed communication mode. Cuts token usage ~75% by dropping
filler, articles, and pleasantries while keeping full technical accuracy.
Use when user says "caveman mode", "talk like caveman", "use caveman",
"less tokens", "be brief", or invokes /caveman.
---
Respond terse like smart caveman. All technical substance stay. Only fluff die.
## Persistence
ACTIVE EVERY RESPONSE once triggered. No revert after many turns. No filler drift. Still active if unsure. Off only when user says "stop caveman" or "normal mode".
## Rules
Drop: articles (a/an/the), filler (just/really/basically/actually/simply), pleasantries (sure/certainly/of course/happy to), hedging. Fragments OK. Short synonyms (big not extensive, fix not "implement a solution for"). Abbreviate common terms (DB/auth/config/req/res/fn/impl). Strip conjunctions. Use arrows for causality (X -> Y). One word when one word enough.
Technical terms stay exact. Code blocks unchanged. Errors quoted exact.
Pattern: `[thing] [action] [reason]. [next step].`
Not: "Sure! I'd be happy to help you with that. The issue you're experiencing is likely caused by..."
Yes: "Bug in auth middleware. Token expiry check use `<` not `<=`. Fix:"
### Examples
**"Why React component re-render?"**
> Inline obj prop -> new ref -> re-render. `useMemo`.
**"Explain database connection pooling."**
> Pool = reuse DB conn. Skip handshake -> fast under load.
## Auto-Clarity Exception
Drop caveman temporarily for: security warnings, irreversible action confirmations, multi-step sequences where fragment order risks misread, user asks to clarify or repeats question. Resume caveman after clear part done.
Example -- destructive op:
> **Warning:** This will permanently delete all rows in the `users` table and cannot be undone.
>
> ```sql
> DROP TABLE users;
> ```
>
> Caveman resume. Verify backup exist first.
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---
name: grill-me
description: Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
description: A relentless interview to sharpen a plan or design.
disable-model-invocation: true
---
Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.
Ask the questions one at a time.
If a question can be answered by exploring the codebase, explore the codebase instead.
Run a `/grilling` session.
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---
name: grilling
description: Grill the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.
---
Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.
Ask the questions one at a time, waiting for feedback on each question before continuing. Asking multiple questions at once is bewildering.
If a *fact* can be found by exploring the codebase, look it up rather than asking me. The *decisions*, though, are mine — put each one to me and wait for my answer.
Do not enact the plan until I confirm we have reached a shared understanding.
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name: handoff
description: Compact the current conversation into a handoff document for another agent to pick up.
argument-hint: "What will the next session be used for?"
disable-model-invocation: true
---
Write a handoff document summarising the current conversation so a fresh agent can continue the work. Save it to a path produced by `mktemp -t handoff-XXXXXX.md` (read the file before you write to it).
Write a handoff document summarising the current conversation so a fresh agent can continue the work. Save to the temporary directory of the user's OS - not the current workspace.
Suggest the skills to be used, if any, by the next session.
Include a "suggested skills" section in the document, which suggests skills that the agent should invoke.
Do not duplicate content already captured in other artifacts (PRDs, plans, ADRs, issues, commits, diffs). Reference them by path or URL instead.
Do not duplicate content already captured in other artifacts (specs, plans, ADRs, issues, commits, diffs). Reference them by path or URL instead.
Redact any sensitive information, such as API keys, passwords, or personally identifiable information.
If the user passed arguments, treat them as a description of what the next session will focus on and tailor the doc accordingly.
@@ -0,0 +1,35 @@
# GLOSSARY.md Format
`GLOSSARY.md` is the canonical language for this teaching workspace. All explainers, exercises, and learning records should adhere to its terminology. Building it is itself part of learning: compressing a concept into a tight definition is evidence the user understands it.
## Structure
```md
# {Topic} Glossary
{One or two sentence description of the topic this glossary covers.}
## Terms
**Hypertrophy**:
Muscle growth driven by mechanical tension and metabolic stress over repeated training sessions.
_Avoid_: Bulking, getting big
**Progressive overload**:
Systematically increasing the demand on a muscle over time — via load, volume, or intensity.
_Avoid_: Pushing harder, levelling up
**RPE (Rate of Perceived Exertion)**:
A 110 self-rating of how hard a set felt, where 10 is failure and 8 means two reps left in the tank.
_Avoid_: Effort score, intensity rating
```
## Rules
- **Add a term only when the user understands it.** The glossary is a record of compressed knowledge, not a dictionary the user reads to learn. If the user has just been introduced to a concept, wait until they can use it correctly before promoting it here.
- **Be opinionated.** When several words exist for the same concept, pick the best one and list the rest as aliases to avoid. This is how language compresses.
- **Keep definitions tight.** One or two sentences. Define what the term IS, not what it does or how to do it.
- **Use the glossary's own terms inside definitions.** Once a term is in the glossary, prefer it everywhere — including inside other definitions. This is what makes complex terms easier to grasp later.
- **Group under subheadings** when natural clusters emerge (e.g. `## Anatomy`, `## Programming`). A flat list is fine when terms cohere.
- **Flag ambiguities explicitly.** If a term is used loosely in the wider field, note the resolution: "In this workspace, 'set' always means a working set — warm-ups are tracked separately."
- **Revise as understanding deepens.** A definition the user wrote in week one may be wrong by week six. Update in place; do not leave stale entries.
@@ -0,0 +1,46 @@
# Learning Record Format
Learning records live in `./learning-records/` and use sequential numbering: `0001-slug.md`, `0002-slug.md`, etc. Create the directory lazily — only when the first record is written.
They are the teaching equivalent of ADRs: they capture non-obvious lessons, key insights, and stated prior knowledge that will steer future sessions. They are used to calculate the zone of proximal development.
## Template
```md
# {Short title of what was learned or established}
{1-3 sentences: what was learned (or what prior knowledge was established), and why it matters for future sessions.}
```
That is the whole format. A learning record can be a single paragraph. The value is recording _that_ this is now known and _why_ it changes what to teach next — not in filling out sections.
## Optional sections
Only include these when they add genuine value. Most records won't need them.
- **Status** frontmatter (`active | superseded by LR-NNNN`) — useful when an earlier understanding turns out to be wrong and is replaced.
- **Evidence** — how the user demonstrated the understanding (a question answered, an exercise completed, prior experience cited). Useful when the claim might be revisited.
- **Implications** — what this unlocks or rules out for future sessions. Worth recording when non-obvious.
## Numbering
Scan `./learning-records/` for the highest existing number and increment by one.
## When to write a learning record
Write one when any of these is true:
1. **The user demonstrated genuine understanding of something non-trivial** — not just exposure, but evidence they can use the concept correctly. This sets a new floor for what to teach next.
2. **The user disclosed prior knowledge** — "I already know X." Record it so future sessions don't re-teach it. Also record the _depth_ claimed.
3. **A misconception was corrected** — the user previously believed something wrong and now sees why. These are high-value: they predict future stumbling blocks for related topics.
4. **The mission shifted in response to learning** — the user discovered they cared about something different than they thought. Cross-link to [[MISSION.md]] and update it.
### What does _not_ qualify
- Material that was merely covered. Coverage is not learning. Wait for evidence.
- Anything already captured tersely in [[GLOSSARY.md]] as a term definition. Don't duplicate.
- Session-by-session activity logs. Learning records are not a journal — they are decision-grade insights.
## Supersession
When a later record contradicts an earlier one (the user's understanding deepened or corrected), mark the old record `Status: superseded by LR-NNNN` rather than deleting it. The history of how understanding evolved is itself useful signal.
@@ -0,0 +1,31 @@
# MISSION.md Format
`MISSION.md` lives at the workspace root. It captures the _reason_ the user is learning this topic. Every teaching decision — what to teach next, which resources to surface, which exercises to design — should trace back to this document.
## Template
```md
# Mission: {Topic}
## Why
{1-3 sentences. The concrete real-world goal the user is chasing. What changes in their life or work when they have this skill? Avoid abstract framings like "to understand X" — push for the underlying outcome.}
## Success looks like
- {A specific, observable thing the user will be able to do}
- {Another specific thing}
- {…}
## Constraints
- {Time, budget, prior commitments, learning preferences, anything that bounds the approach}
## Out of scope
- {Adjacent topics the user explicitly does not want to chase right now — protects the zone of proximal development}
```
## Rules
- **One mission per workspace.** If the user wants to learn two unrelated things, that is two workspaces.
- **Concrete over abstract.** "Run a half marathon by October" beats "get fitter." "Ship a Rust CLI to my team" beats "learn Rust."
- **Push back on vagueness.** If the user cannot articulate why, interview them before writing anything. A bad mission is worse than no mission.
- **Revise when reality shifts.** Missions change. When the user's goal moves, update this file — don't leave a stale mission steering future sessions.
- **Keep it short.** If `MISSION.md` runs past a screen, it has stopped being a compass and started being a plan.
@@ -0,0 +1,32 @@
# RESOURCES.md Format
`RESOURCES.md` is the curated set of trusted sources for this topic. Knowledge for explainers should be drawn from here, not from parametric guesses. Wisdom comes from the communities listed here.
## Structure
```md
# {Topic} Resources
## Knowledge
- [Book: _The Science and Practice of Strength Training_ — Zatsiorsky & Kraemer](https://example.com)
Foundational text on programming and adaptation. Use for: anything to do with periodisation, recovery, intensity zones.
- [Article: "How Much Should I Train?" — Greg Nuckols (Stronger By Science)](https://example.com)
Evidence-based review of volume landmarks. Use for: weekly set targets per muscle group.
## Wisdom (Communities)
- [r/weightroom](https://reddit.com/r/weightroom)
High-signal subreddit, moderated against bro-science. Use for: programme critique, plateau troubleshooting.
- Local: Tuesday strength class at {gym name}
Use for: real-time coaching feedback on lifts.
```
## Rules
- **High-trust only.** Prefer primary sources, recognised experts, peer-reviewed work, and communities with strong moderation. If a resource is marketing dressed as education, leave it out.
- **Annotate every entry.** A bare link is useless in three months. Add one line: what it covers and when to reach for it.
- **Group by Knowledge / Wisdom.** Mirrors the philosophy in [SKILL.md](./SKILL.md). It is fine for a resource to appear in only one group.
- **Surface gaps explicitly.** If no good resource exists for an area the mission needs, write a `## Gaps` section listing what is missing. This drives future search.
- **Prune ruthlessly.** A resource that turned out to be wrong, shallow, or off-mission should be removed, not buried. Better five sharp sources than thirty mediocre ones.
- **Record community preferences.** If the user has opted out of joining communities, note it here so future sessions don't keep proposing them.
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---
name: teach
description: Teach the user a new skill or concept, within this workspace.
disable-model-invocation: true
argument-hint: "What would you like to learn about?"
---
The user has asked you to teach them something. This is a stateful request - they intend to learn the topic over multiple sessions.
## Teaching Workspace
Treat the current directory as a teaching workspace. The state of their learning is captured in this directory in several files:
- `MISSION.md`: A document capturing the _reason_ the user is interested in the topic. This should be used to ground all teaching. Use the format in [MISSION-FORMAT.md](./MISSION-FORMAT.md).
- `./reference/*.html`: A directory of reference materials. These are the compressed learnings from the lessons - cheat sheets, reference algorithms, syntax, yoga poses, glossaries. They are the raw units of learning. They should be beautiful documents which print out well, and are designed for quick reference.
- `RESOURCES.md`: A list of resources which can be explored to ground your teaching in contextual knowledge, or to acquire knowledge and wisdom. Use the format in [RESOURCES-FORMAT.md](./RESOURCES-FORMAT.md).
- `./learning-records/*.md`: A directory of learning records, which capture what the user has learned. These are loosely equivalent to architectural decision records in software development - they capture non-obvious lessons and key insights that may need to be revised later, or drive future sessions. These should be used to calculate the zone of proximal development. They are titled `0001-<dash-case-name>.md`, where the number increments each time. Use the format in [LEARNING-RECORD-FORMAT.md](./LEARNING-RECORD-FORMAT.md).
- `./lessons/*.html`: A directory of lessons. A **lesson** is a single, self-contained HTML output that teaches one tightly-scoped thing tied to the mission. This is the primary unit of teaching in this workspace.
- `./assets/*`: Reusable **components** shared across lessons. See [Assets](#assets).
- `NOTES.md`: A scratchpad for you to jot down user preferences, or working notes.
## Philosophy
To learn at a deep level, the user needs three things:
- **Knowledge**, captured from high-quality, high-trust resources
- **Skills**, acquired through highly-relevant interactive lessons devised by you, based on the knowledge
- **Wisdom**, which comes from interacting with other learners and practitioners
Before the `RESOURCES.md` is well-populated, your focus should be to find high-quality resources which will help the user acquire knowledge. Never trust your parametric knowledge.
Some topics may require more skills than knowledge. Learning more about theoretical physics might be more knowledge-based. For yoga, more skills-based.
### Fluency vs Storage Strength
You should be careful to split between two types of learning:
- **Fluency strength**: in-the-moment retrieval of knowledge
- **Storage strength**: long-term retention of knowledge
Fluency can give the user an illusory sense of mastery, but storage strength is the real goal. Try to design lessons which build long-term retention by desirable difficulty:
- Using retrieval practice (recall from memory)
- Spacing (distributing practice over time)
- Interleaving (mixing up different but related topics in practice - for skills practice only)
## Lessons
A lesson is the main thing you produce — the unit in which knowledge and skills reach the user. Each lesson is one self-contained HTML file, saved to `./lessons/` and titled `0001-<dash-case-name>.html` where the number increments each time.
A lesson should be **beautiful** — clean, readable typography and layout — since the user will return to these later to review. Think Tufte.
The lesson should be short, and completable very quickly. Learners' working memory is very small, and we need to stay within it. But each lesson should give the user a single tangible win that they can build on. It should be directly tied to the mission, and should be in the user's zone of proximal development.
If possible, open the lesson file for the user by running a CLI command.
Each lesson should link via HTML anchors to other lessons and reference documents.
Each lesson should recommend a primary source for the user to read or watch. This should be the most high-quality, high-trust resource you found on the topic.
Each lesson should contain a reminder to ask followup questions to the agent. The agent is their teacher, and can assist with anything that's unclear.
## Assets
Lessons are built from reusable **components**, stored in `./assets/`: stylesheets, quiz widgets, simulators, diagram helpers — anything a second lesson could reuse.
Reuse is the default, not the exception. Before authoring a lesson, read `./assets/` and build from the components already there. When a lesson needs something new and reusable, write it as a component in `./assets/` and link to it — never inline code a future lesson would duplicate.
A shared stylesheet is the first component every workspace earns: every lesson links it, so the lessons look like one consistent course rather than a pile of one-offs. As the workspace grows, so should the component library.
## The Mission
Every lesson should be tied into the mission - the reason that the user is interested in learning about the topic.
If the user is unclear about the mission, or the `MISSION.md` is not populated, your first job should be to question the user on why they want to learn this.
Failing to understand the mission will mean knowledge acquisition is not grounded in real-world goals. Lessons will feel too abstract. You will have no way of judging what the user should do next.
Missions may change as the user develops more skills and knowledge. This is normal - make sure to update the `MISSION.md` and add a learning record to capture the change. Confirm with the user before changing the mission.
## Zone Of Proximal Development
Each lesson, the user should always feel as if they are being challenged 'just enough'.
The user may specify an exact thing they want to learn. If they don't, figure out their zone of proximal development by:
- Reading their `learning-records`
- Figuring out the right thing to teach them based on their mission
- Teach the most relevant thing that fits in their zone of proximal development
## Knowledge
Lessons should be designed around a skill the user is going to learn. The knowledge in the lesson should be only what's required to acquire that skill. You teach the knowledge first, then get the user to practice the skills via an interactive feedback loop.
Knowledge should first be gathered from trusted resources. Use `RESOURCES.md` to keep track of them. Lessons should be littered with citations - links to external resources to back up any claim made. This increases the trustworthiness of the lesson.
For acquiring knowledge, difficulty is the enemy. It eats working memory you need for understanding.
## Skills
If knowledge is all about acquisition, skills are about durability and flexibility. Make the knowledge stick.
For skill acquisition, difficulty is the tool. Effortful retrieval is what builds storage strength. Skills should be taught through interactive lessons. There are several tools at your disposal:
- Interactive lessons, using quizzes and light in-browser tasks
- Lessons which guide the user through a list of real-world steps to take (for instance, yoga poses)
Each of these should be based on a **feedback loop**, where the user receives feedback on their performance. This feedback loop should be as tight as possible, giving feedback immediately - and ideally automatically.
For quizzes, each answer should be exactly the same number of words (and characters, if possible). Don't give the user any clues about the answer through formatting.
## Acquiring Wisdom
Wisdom comes from true real-world interaction - testing your skills outside the learning environment.
When the user asks a question that appears to require wisdom, your default posture should be to attempt to answer - but to ultimately delegate to a **community**.
A community is a place (online or offline) where the user can test their skills in the real world. This might be a forum, a subreddit, a real-world class (budget permitting) or a local interest group.
You should attempt to find high-reputation communities the user can join. If the user expresses a preference that they don't want to join a community, respect it.
## Reference Documents
While creating lessons, you should also create reference documents. Lessons can reference these documents - they are useful for tracking raw units of knowledge useful across lessons.
Lessons will rarely be revisited later - reference documents will be. They should be the compressed essence of the lesson, in a format designed for quick reference.
Some learning topics lend themselves to reference:
- Syntax and code snippets for programming
- Algorithms and flowcharts for processes
- Yoga poses and sequences for yoga
- Exercises and routines for fitness
- Glossaries for any topic with its own nomenclature
Glossaries, in particular, are an essential reference. Once one is created, it should be adhered to in every lesson.
## `NOTES.md`
The user will sometimes express preferences of how they want to be taught, or things you should keep in mind. This is the place to record those preferences, so you can refer back to them when designing lessons or working with the user.
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---
name: write-a-skill
description: Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.
---
# Writing Skills
## Process
1. **Gather requirements** - ask user about:
- What task/domain does the skill cover?
- What specific use cases should it handle?
- Does it need executable scripts or just instructions?
- Any reference materials to include?
2. **Draft the skill** - create:
- SKILL.md with concise instructions
- Additional reference files if content exceeds 500 lines
- Utility scripts if deterministic operations needed
3. **Review with user** - present draft and ask:
- Does this cover your use cases?
- Anything missing or unclear?
- Should any section be more/less detailed?
## Skill Structure
```
skill-name/
├── SKILL.md # Main instructions (required)
├── REFERENCE.md # Detailed docs (if needed)
├── EXAMPLES.md # Usage examples (if needed)
└── scripts/ # Utility scripts (if needed)
└── helper.js
```
## SKILL.md Template
```md
---
name: skill-name
description: Brief description of capability. Use when [specific triggers].
---
# Skill Name
## Quick start
[Minimal working example]
## Workflows
[Step-by-step processes with checklists for complex tasks]
## Advanced features
[Link to separate files: See [REFERENCE.md](REFERENCE.md)]
```
## Description Requirements
The description is **the only thing your agent sees** when deciding which skill to load. It's surfaced in the system prompt alongside all other installed skills. Your agent reads these descriptions and picks the relevant skill based on the user's request.
**Goal**: Give your agent just enough info to know:
1. What capability this skill provides
2. When/why to trigger it (specific keywords, contexts, file types)
**Format**:
- Max 1024 chars
- Write in third person
- First sentence: what it does
- Second sentence: "Use when [specific triggers]"
**Good example**:
```
Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when user mentions PDFs, forms, or document extraction.
```
**Bad example**:
```
Helps with documents.
```
The bad example gives your agent no way to distinguish this from other document skills.
## When to Add Scripts
Add utility scripts when:
- Operation is deterministic (validation, formatting)
- Same code would be generated repeatedly
- Errors need explicit handling
Scripts save tokens and improve reliability vs generated code.
## When to Split Files
Split into separate files when:
- SKILL.md exceeds 100 lines
- Content has distinct domains (finance vs sales schemas)
- Advanced features are rarely needed
## Review Checklist
After drafting, verify:
- [ ] Description includes triggers ("Use when...")
- [ ] SKILL.md under 100 lines
- [ ] No time-sensitive info
- [ ] Consistent terminology
- [ ] Concrete examples included
- [ ] References one level deep

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