Files
skills/skills/engineering
Matt PocockandClaude Opus 5 b3376f8d39 feat: graduate wizard into the engineering bucket
Move `wizard` out of in-progress into `engineering/` and wire it up as a
promoted skill: plugin.json entry, top-level + Engineering READMEs under
User-invoked, a docs page at docs/engineering/wizard.md, and a Standalone
route in ask-matt for the steps only a human can take.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-05 08:29:37 +01:00
..

Engineering

Skills I use daily for code work.

User-invoked

Reachable only when you type them (Claude Code: disable-model-invocation: true; Codex: policy.allow_implicit_invocation: false in agents/openai.yaml).

  • ask-matt — Ask which skill or flow fits your situation. A router over the user-invoked skills in this repo.
  • grill-with-docs — Grilling session that also builds your project's domain model, sharpening terminology and updating CONTEXT.md and ADRs inline.
  • triage — Move issues through a state machine of triage roles.
  • improve-codebase-architecture — Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
  • setup-matt-pocock-skills — Configure this repo for the engineering skills (issue tracker, triage labels, domain doc layout). Run once per repo.
  • to-spec — Turn the current conversation into a spec and publish it to the issue tracker.
  • to-tickets — Break any plan, spec, or conversation into a set of tracer-bullet tickets, each declaring its blocking edges — text in a local file, or native blocking links on a real tracker.
  • implement — Build the work described by a spec or set of tickets, driving /tdd at pre-agreed seams and closing out with /code-review before committing.
  • wayfinder — Plan a huge chunk of work — more than one agent session can hold — as a shared map of decision tickets on the issue tracker, resolved one at a time until the way to the destination is clear.
  • wizard — Generate an interactive bash wizard that walks a human through a manual procedure — third-party setup, a one-off migration, an A→B state transition — opening URLs, capturing values, and writing .env files and GitHub Actions secrets.

Model-invoked

Model- or user-reachable (rich trigger phrasing so the model can reach for them).

  • prototype — Build a throwaway prototype to answer a design question: a runnable terminal app for state/logic, or several toggleable UI variations.

  • diagnosing-bugs — Disciplined diagnosis loop for hard bugs and performance regressions: reproduce → minimise → hypothesise → instrument → fix → regression-test.

  • research — Investigate a question against high-trust primary sources and capture the findings as a cited Markdown file in the repo, run as a background agent.

  • tdd — Test-driven development with a red-green-refactor loop. Builds features or fixes bugs one vertical slice at a time.

  • domain-modeling — Actively build and sharpen a project's domain model — challenge terms, stress-test with scenarios, update CONTEXT.md and ADRs inline.

  • codebase-design — Shared discipline and vocabulary for designing deep modules: small interfaces, clean seams, testable through the interface.

  • code-review — 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/spec?), run as parallel sub-agents.

  • resolving-merge-conflicts — Work through an in-progress git merge or rebase conflict hunk by hunk, resolving by intent traced to each side's primary source, then finish the operation — never --abort.