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Author SHA1 Message Date
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 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 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 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
44 changed files with 1040 additions and 241 deletions
+6 -6
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@@ -1,10 +1,10 @@
# Writing docs pages
Every promoted skill (`engineering/`, `productivity/`, `misc/`) has a human-facing **docs page** at `docs/<bucket>/<skill-name>.md` — the docs tree mirrors the 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`.
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 buckets moves its docs file to the matching folder. Skills in `personal/`, `in-progress/`, and `deprecated/` get no page, mirroring the README rule.
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.
@@ -30,7 +30,7 @@ npx skills update <name>
## What it does
One or two plain-language paragraphs. Lead with the skill's one-sentence job, then state the **load-bearing constraint** — the single fact that makes this skill behave differently from the obvious default (for `to-prd`: it does not interview the user again, it synthesises what is already known). This line is the most valuable on the page; never omit it.
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-prd`: 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
@@ -47,7 +47,7 @@ Optional — include only when the skill needs something in place to be function
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 / load-bearing 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.
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
@@ -57,7 +57,7 @@ Optional. A short, checkable list of the observable signals that tell the reader
Always present. Situate the skill in the system in a sentence or two:
- **Role.** Name it: a **chain step** (`grill-with-docs → to-prd → to-issues → tdd`), 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.
- **Role.** Name it: a **chain step** (`grill-with-docs → to-prd → to-issues → 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.
@@ -73,7 +73,7 @@ Always present. Situate the skill in the system in a sentence or two:
- 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 load-bearing constraint.
- `## 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.
+5
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@@ -0,0 +1,5 @@
---
"mattpocock-skills": minor
---
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.
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@@ -0,0 +1,5 @@
---
"mattpocock-skills": minor
---
Rename the in-progress **`review`** skill to **`code-review`** and promote it from `in-progress/` to the `engineering/` bucket. It now ships in the plugin, is listed in the top-level and Engineering READMEs (Model-invoked), and has a human-facing docs page at `docs/engineering/code-review.md`. The `/implement` skill and docs now point at `/code-review`.
+1 -1
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@@ -2,4 +2,4 @@
"mattpocock-skills": patch
---
Give the in-progress **`review`** skill 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) are 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.
Give the in-progress **`code-review`** skill 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) are 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.
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@@ -0,0 +1,7 @@
---
"mattpocock-skills": patch
---
Reshape the `tdd` skill into 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 and duplicating the horizontal-slicing anti-pattern. 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, 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.
Also dropped the refactor stage — TDD is now red → green, not red → green → refactor. Refactoring belongs to the review stage, not the implementation loop, so the refactor rule and `refactoring.md` were removed (its home is the `review` skill).
@@ -0,0 +1,9 @@
---
"mattpocock-skills": minor
---
Make **`wayfinder`** collaborative by moving the map off a local Markdown file and onto the repo's issue tracker.
The map is now a single `wayfinder:map` issue whose tickets are its child issues — one shared URL the whole team can watch and comment on. Blocking, claiming (`wayfinder:claimed`), and the frontier query all use native tracker semantics, so a session loads the map at low resolution (Notes + one context pointer per closed ticket + Fog prose) and zooms into individual tickets on demand, instead of loading the whole map every time.
Wayfinder stays tracker-agnostic: the per-tracker mechanics live behind a pointer in `docs/agents/issue-tracker.md`, so `setup-matt-pocock-skills` now seeds a "Wayfinding operations" section for GitHub, GitLab, and local-markdown. Absent that doc, Wayfinder defaults to local-markdown.
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@@ -0,0 +1,7 @@
---
"mattpocock-skills": minor
---
Make **`wayfinder`**'s no-duplication contract explicit: the map is an **index**, not a store.
Adopting "index" as the leading word for the map's role fixes two duplication risks. The map now states up front that a decision lives in exactly one place — its ticket — so it only ever gists and links, never restates the answer (previously this rule was implied inside an HTML comment in the map-body template). And graduating fog into a ticket now clears the graduated patch from the Fog, so a suspected question can't linger in both places at once.
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@@ -0,0 +1,9 @@
---
"mattpocock-skills": minor
---
Rename the **`decision-mapping`** skill to **`wayfinder`**, invoked as `/wayfinder`.
"Decision map" was jargony and inaccurate — only one of the skill's four ticket types (Grilling) is actually a decision. The reframe charts a route through a foggy problem, resolving investigation tickets one at a time until the way to the goal is clear. This makes one coherent leading-word frame (fog of war / frontier / the map) instead of mixing an invented term on top of it.
Also a pruning pass: unified `node``ticket`, bound "the frontier" to the unblocked tickets, dropped the duplicated "one question at a time" (owned by `/grilling`), and trimmed intro no-ops.
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@@ -10,9 +10,11 @@
"./skills/engineering/tdd",
"./skills/engineering/to-issues",
"./skills/engineering/to-prd",
"./skills/engineering/implement",
"./skills/engineering/prototype",
"./skills/engineering/domain-modeling",
"./skills/engineering/codebase-design",
"./skills/engineering/code-review",
"./skills/productivity/grill-me",
"./skills/productivity/grilling",
"./skills/productivity/handoff",
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@@ -2,19 +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`. Bucket `README.md`s and the top-level `README.md` group entries into **User-invoked** and **Model-invoked**.
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.
Every promoted skill also has a human-facing docs page at `docs/<bucket>/<skill-name>.md` (the docs tree mirrors the 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/`, `productivity/`, or `misc/`, create or re-sync its docs page following [.agents/writing-docs.md](./.agents/writing-docs.md).
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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@@ -164,6 +164,7 @@ Skills I use daily for code work.
- **[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.
- **[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
@@ -179,12 +180,3 @@ General workflow tools, not code-specific.
**Model-invoked**
- **[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`.
### Misc
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.
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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 PRD, 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 → PRD → issues → 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 PRD 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 PRD 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 PRD 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-prd → to-issues → 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-prd](https://aihero.dev/skills-to-prd) and [to-issues](https://aihero.dev/skills-to-issues). 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-prd](https://aihero.dev/skills-to-prd) 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-prd](https://aihero.dev/skills-to-prd) 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).
## 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-prd → to-issues → implement → code-review
```
It comes first, before anything is written down as a spec: it produces the shared understanding and settled vocabulary that [to-prd](https://aihero.dev/skills-to-prd) then synthesises into a PRD 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 PRD or a set of issues — 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 PRD or split into issues and you're ready to turn that into code. If the spec doesn't exist yet, write it first — for that, use [to-prd](https://aihero.dev/skills-to-prd), or [to-issues](https://aihero.dev/skills-to-issues) to break a PRD 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-prd](https://aihero.dev/skills-to-prd)) 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-prd → to-issues → implement → code-review
```
Reach for it after the work has been specced and sequenced, not before. Its key neighbours are [to-issues](https://aihero.dev/skills-to-issues), which produces the independently-grabbable tickets 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.
## The answer is the artifact
The code is disposable; the **answer** is the only thing worth keeping. When the prototype has settled its question, capture the verdict somewhere durable — a commit message, an ADR, an issue, or a `NOTES.md` next to it — alongside the question it answered, then delete or absorb the code. A prototype left rotting in the repo has outlived its purpose.
## 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-prd](https://aihero.dev/skills-to-prd) 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.
@@ -0,0 +1,40 @@
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-prd](https://aihero.dev/skills-to-prd), or [to-issues](https://aihero.dev/skills-to-issues) 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-prd`/`to-issues` 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-issues` 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-prd](https://aihero.dev/skills-to-prd) / [to-issues](https://aihero.dev/skills-to-issues), 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-prd](https://aihero.dev/skills-to-prd). 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-prd → to-issues → 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-issues
```
```bash
npx skills update to-issues
```
[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/to-issues)
## What it does
`to-issues` breaks a plan, spec, or PRD into a set of independently-grabbable issues and publishes them to your project's issue tracker, in dependency order.
Every issue 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 the resulting tickets safe to hand to independent agents.
## When to reach for it
You invoke this by typing `/to-issues` — 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 an agent can pick up. Point it at the conversation, or pass an existing 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-prd](https://aihero.dev/skills-to-prd).
## Prerequisites
`to-issues` 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. It applies the ready-for-agent triage label itself as it publishes.
## 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-issues` 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, dependencies, what to merge or split) before writing anything, and publishes blockers first so each issue's "Blocked by" field can reference a real ticket.
## Where it fits
`to-issues` is a step in the main build chain:
```txt
grill-with-docs → to-prd → to-issues → implement → code-review
```
It sits between [to-prd](https://aihero.dev/skills-to-prd), which hands it a settled spec with user stories to slice against, and [implement](https://aihero.dev/skills-implement), which builds each independently-grabbable issue, 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. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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`to-prd` turns the current conversation and your codebase understanding into a product requirements document, then publishes it to your issue tracker.
The load-bearing constraint: it does **not** interview you again. By the time you reach for it, the alignment work is done — `to-prd` synthesises what is already known rather than asking a fresh round of questions.
It does **not** interview you again. By the time you reach for it, the alignment work is done — `to-prd` synthesises what is already known rather than asking a fresh round of questions.
## When to reach for it
@@ -53,7 +53,7 @@ That matters for agentic development: a good interface gives tests something dur
`to-prd` is a step in the main build chain:
```txt
grill-with-docs → to-prd → to-issues → tdd
grill-with-docs → to-prd → to-issues → 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 PRD is precise, and [to-issues](https://aihero.dev/skills-to-issues), which turns the PRD into independently-grabbable issues for [tdd](https://aihero.dev/skills-tdd) to implement. When you're unsure which skill or flow fits, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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 PRD is precise, and [to-issues](https://aihero.dev/skills-to-issues), which turns the PRD into independently-grabbable issues 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.
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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-prd](https://aihero.dev/skills-to-prd); to split an existing PRD into tickets, use [to-issues](https://aihero.dev/skills-to-issues). `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-prd](https://aihero.dev/skills-to-prd), 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=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.
## 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-prd](https://aihero.dev/skills-to-prd), which synthesises the settled understanding into a PRD 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.
## 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-prd](https://aihero.dev/skills-to-prd) 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 PRD, 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 PRDs, 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-prd](https://aihero.dev/skills-to-prd), because a finished PRD 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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@@ -24,3 +24,4 @@ Model- or user-reachable (rich trigger phrasing so the model can reach for them)
- **[tdd](./tdd/SKILL.md)** — Test-driven development with a red-green-refactor loop. Builds features or fixes bugs one vertical slice at a time.
- **[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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@@ -1,6 +1,6 @@
---
name: ask-matt
description: Ask which skill or flow fits your situation. A router over the user-invoked skills in this repo.
description: Ask which skill or flow fits your situation. A router over the skills in this repo.
disable-model-invocation: true
---
@@ -8,13 +8,13 @@ disable-model-invocation: true
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.
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.)
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,
@@ -23,6 +23,8 @@ The route most work travels. You have an idea and want it built.
- **Yes** → **`/to-prd`** (turn the thread into a PRD) → **`/to-issues`** (split the PRD into independently-grabbable issues). Because the issues are independent, **clear context between each one**: start a fresh session per issue and kick off **`/implement`** by passing it the PRD and the single issue to work on.
- **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-issues` — so the grilling, PRD, and issues all build on the same thinking. Each `/implement` then starts fresh, working from the issue.
@@ -37,11 +39,20 @@ A starting situation that generates work, then merges onto the main flow.
Triage is only for issues **you didn't create** — bug reports, incoming feature requests, anything that arrives raw. Issues that `/to-issues` 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.
## 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`.
- **`/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
@@ -53,6 +64,7 @@ Not feature work — upkeep.
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.
- **`/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.
@@ -1,5 +1,5 @@
---
name: review
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".
---
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Run typechecking regularly, single test files regularly, and the full test suite once at the end.
Once done, use /review to review the work.
Once done, use /code-review to review the work.
Commit your work to the current branch.
@@ -32,3 +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`), plus `wayfinder:claimed` once claimed.
- **Blocking**: native issue relationships where available; otherwise a `Blocked by: #<n>, #<n>` line at the top of the child body. A ticket is unblocked when every issue it lists 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 `Blocked by` issue or the `wayfinder:claimed` label; first in map order wins.
- **Claim**: `gh issue edit <n> --add-label wayfinder:claimed` — 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.
@@ -33,3 +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`), plus `wayfinder:claimed` once claimed.
- **Blocking**: GitLab's native `/blocked_by #<n>` quick action (or a `Blocked by: #<n>, #<n>` line in the description as fallback). A ticket is unblocked when every issue it lists is closed.
- **Frontier query**: `glab issue list -F json` scoped to the map's children, drop any with an open blocker or the `wayfinder:claimed` label; first in map order wins.
- **Claim**: `glab issue update <n> --label wayfinder:claimed` — 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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@@ -5,107 +5,32 @@ description: Test-driven development. Use when the user wants to build features
# 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.
**Tautological tests** restate the implementation inside the assertion, so they pass by construction and give zero confidence. When the expected value is computed the way the code computes it — `expect(add(a, b)).toBe(a + b)`, snapshotting a figure you derived by hand the same way the code does, asserting a constant equals itself — the test can never disagree with the code: break the code wrong and the assertion breaks wrong with it. The expected value must come from an independent source of truth — a known-good literal, a worked example, the spec.
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, read `CONTEXT.md` (if it exists) so that test names and interface vocabulary match the project's domain 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 (small interface, deep implementation) — run the `/codebase-design` skill for the vocabulary and the testability checks
- [ ] 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
[ ] Expected values are independent literals, not recomputed from the code
[ ] 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 `review` skill), not the red → green implementation cycle.
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# 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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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.
- **[decision-mapping](./decision-mapping/SKILL.md)** — Turn a loose idea into a sequenced map of investigation tickets, then drive them to resolution one at a time. User-invoked.
- **[wayfinder](./wayfinder/SKILL.md)** — Chart a route through a foggy problem — turn a loose idea into a map of investigation tickets and resolve them one at a time until the way to the goal is clear. User-invoked.
- **[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.
- **[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?).
- **[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.
@@ -1,108 +0,0 @@
---
name: decision-mapping
description: Turn a loose idea into a sequenced map of investigation tickets, then drive them to resolution one at a time.
disable-model-invocation: true
---
This skill is invoked when a loose idea requires more than one agent session to turn into a plan. It creates a stateful decision map in a markdown file, and drives the user through a sequence of tickets to resolve the open questions - which may require either prototyping, research or grilling. The map is domain-agnostic: it plans engineering work, course content, or anything else that fits the same shape.
## The Decision Map
The decision map is a single compact Markdown file, one per planning effort, git-tracked alongside the project. It is the canonical artifact — the **whole map is loaded as context into every session**, so it must stay compact.
Assets created during tickets should be linked to from the map, not duplicated within it.
### Structure
Entries ("tickets"), each its own section keyed by a short dash-case slug that
reads as a mini-title (e.g. `relational-db`, `auth-strategy`, `cache-layer`) —
terse enough to stay token-efficient, and unique within the map.
```markdown
## relational-db: Relational Or Non-Relational Database?
Blocked by: <slug>, <slug>
Status: open | in-progress | resolved
Type: Research | Prototype | Grilling | Task
### Question
<question-here>
### Answer
<answer-here>
```
The slug is the canonical id, used in every `Blocked by` edge and prose
reference; the title after the colon is optional. A ticket
is **unblocked** when every ticket in its `Blocked by` list is `resolved`. A
session **claims** its ticket by setting `Status: in-progress` and saving the map
before any work, so concurrent sessions skip it.
Each ticket must be sized to one 100K token agent session.
## Ticket Types
There are four types of tickets:
- **Research**: Reading documentation, third-party API's, or local resources like knowledge bases. Creates a markdown summary as an asset. Use this when knowledge outside the current working directory is required.
- **Prototype**: 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. Creates the prototype as an asset. Use this when "how should it look" or "how should it behave" is the key question.
- **Grilling**: Conversation with the agent. Uses the /grilling and /domain-modeling skills. Asks one question at a time. The default case.
- **Task**: Literal manual work that must be done before the discussion can move forward — nothing to decide, prototype, or research. Moving data from one place to another, signing up for a third-party service, provisioning access. The agent automates it where it can; otherwise it hands the human a precise checklist to do by hand. 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 beyond the frontier. Your job is to investigate the frontier, and to resolve tickets in order to push the frontier forward. Push back the fog of war, one node at a time — until the path to the finish line is clear and no tickets remain.
## Invocation
Two branches. Either way, **every session ends with a [Handoff](#handoff)** — never resolve more than one ticket per session.
### Create the map
User invokes with a loose idea.
1. Run a `/grilling` and `/domain-modeling` session to surface the open decisions. Ask one question at a time.
2. Write a new decision map — mostly fog, frontier identified, trivially-decidable entries resolved inline.
3. Handoff. Map-building is one session's work; do not also resolve tickets.
### Work through the map
User invokes with a path to an existing map. A ticket slug is **optional** — without one, you pick the next decision, not the user.
1. Load the **whole map** as context.
2. Choose the ticket. If the user named one, use it. Otherwise pick the first `open` ticket in document order that is [unblocked](#structure). [Claim it](#structure): set `Status: in-progress` and save before any work.
3. Resolve it, invoking skills as needed — including any the `## Notes` block names. If in doubt, use `/grilling` and `/domain-modeling`.
4. Record the answer in the ticket's body and set `Status: resolved`.
5. Add newly-discovered tickets with correct `Blocked by` edges. If the decisions made invalidate other parts of the map, update or delete those nodes.
6. Handoff.
The user may run unblocked tickets in parallel, so expect other agents to be editing the map in their own sessions.
## Handoff
End every session by clearing the context and opening one or more fresh sessions. Close with a **Next steps** block the user can copy-paste. Two cases:
**Open tickets remain.** List the currently-unblocked tickets, then give two copy-paste options: a bare command for one session (you pick the next ticket), and one pinned command per unblocked ticket for running them in parallel. Paste one line per fresh window — opening one, some, or all of them.
> **Next steps** — 3 tickets unblocked: `auth-strategy`, `cache-layer`, `rate-limits`.
> Clear the context, then open fresh sessions.
>
> **One session** — resolves the next unblocked ticket:
> ```
> Invoke /decision-mapping with the map at <path>.
> ```
>
> **Parallel** — paste one line per window, up to all 3:
> ```
> Invoke /decision-mapping with the map at <path>, ticket auth-strategy.
> Invoke /decision-mapping with the map at <path>, ticket cache-layer.
> Invoke /decision-mapping with the map at <path>, ticket rate-limits.
> ```
**No open tickets remain.** The fog is pushed back far enough that the path to the finish line is clear — the map is done. (The initial grilling may also surface no fog at all, in which case there was never a map to build.) Recommend implementing directly, or using `/to-prd` to schedule a multi-session implementation.
## Notes
An optional block declaring the **domain**, any skills every session should `consult`, and freeform standing preferences the planning surfaces.
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---
name: wayfinder
description: Chart a route through a foggy problem — turn a loose idea into a shared map of investigation tickets on your issue tracker, and resolve them one at a time until the way to the goal is clear.
disable-model-invocation: true
---
A loose idea has arrived — too big for one agent session, and wrapped in fog: the route from here to a plan isn't visible yet. This skill charts it as a **shared map** on the repo's issue tracker, then works its tickets one at a time. The map is domain-agnostic — engineering work, course content, whatever fits the shape.
## 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.** Consult `docs/agents/issue-tracker.md` (the "Wayfinding operations" section) for how *this* repo expresses them. If that doc is absent, 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
## 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>
## Fog
<!-- see "Fog of war" for what belongs here -->
```
### 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>
```
Two label families:
- `wayfinder:<type>` — one of `research`, `prototype`, `grilling`, `task` (see [Ticket Types](#ticket-types)).
- `wayfinder:claimed` — a session sets this **first**, before any work, so concurrent sessions skip it.
Blocking uses the tracker's native semantics. 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
- **Research**: 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**: 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**: Conversation with the agent. Uses the /grilling and /domain-modeling skills. Asks one question at a time. The default case.
- **Task**: Literal manual work that must be done before the discussion can move forward — nothing to decide, prototype, or research. Moving data, signing up for a service, provisioning access. The agent automates it where it can; otherwise it hands the human a precise checklist. 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 tickets lies fog — 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 goal is clear and no tickets remain.
The map's **Fog** section is where that dim view is written down: the suspected question, the area to revisit later, the risk you're deferring. 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.
- **Fog when** you can't yet phrase it that sharply. Don't pre-slice 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.
Fog excludes only what's already decided (that's Decisions so far) and what's already a ticket.
## Invocation
Two modes. Either way, **every session ends with a [Handoff](#handoff)** — never resolve more than one ticket per session.
### Chart the map
User invokes with a loose idea.
1. Run a `/grilling` and `/domain-modeling` session to surface the open decisions.
2. **Create the map** (label `wayfinder:map`): Notes filled in, Decisions-so-far empty, Fog sketched.
3. **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.
4. Handoff. 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**: set `wayfinder:claimed` and save 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 the Fog so it lives only as its new ticket. If the decision invalidates other parts of the map, update or delete those tickets.
6. Handoff.
The user may run unblocked tickets in parallel, so expect other sessions to be editing the tracker concurrently.
## Handoff
End every session with a **Next steps** block the user can copy-paste. Two cases:
**Open tickets remain.** Query the map for the currently-unblocked children, then give two copy-paste options: a bare command for one session (you pick the next ticket), and one pinned command per unblocked ticket for running them in parallel. Paste one line per fresh window — opening one, some, or all of them.
> **Next steps** — 3 tickets unblocked. Clear the context, then open fresh sessions.
>
> **One session** — resolves the next unblocked ticket:
> ```
> Invoke /wayfinder with the map <map-url>.
> ```
>
> **Parallel** — paste one line per window, up to all 3:
> ```
> Invoke /wayfinder with the map <map-url>, ticket <issue-url>.
> Invoke /wayfinder with the map <map-url>, ticket <issue-url>.
> Invoke /wayfinder with the map <map-url>, ticket <issue-url>.
> ```
**No open tickets remain.** The fog is pushed back far enough that the way to the goal is clear — the map is done. (The initial grilling may also surface no fog at all, in which case there was never a map to chart.) Recommend implementing directly, or using `/to-prd` to schedule a multi-session implementation.
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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.