본문으로 건너뛰기
cccskills
무료GitHub에 공개

code-review

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/spec 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".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(2)

  • SKILL.md6.9 KB
  • agents/openai.yaml100 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

<!-- path-routing:start -->

Repository configuration overrides this skill's default planning paths. If a Planning root is defined, resolve CONTEXT.md, docs/adr/, docs/agents/, .scratch/, and .out-of-scope/ from that root. Skill-local paths remain unchanged.

<!-- path-routing:end -->

Two-axis review of the diff between HEAD and a fixed point the user supplies:

  • Standards — does the code conform to this repo's documented coding standards?
  • Spec — does the code faithfully implement the originating issue / spec?

Both axes run as parallel sub-agents so they don't pollute each other's context, then this skill aggregates their findings.

The issue tracker should have been provided to you — run /setup-matt-pocock-skills if docs/agents/issue-tracker.md is missing.

Process

1. Pin the fixed point

Whatever the user said is the fixed point — a commit SHA, branch name, tag, main, HEAD~5, etc. If they didn't specify one, ask for it.

Capture the diff command once: git diff <fixed-point>...HEAD (three-dot, so the comparison is against the merge-base). Also note the list of commits via git log <fixed-point>..HEAD --oneline.

Before going further, confirm the fixed point resolves (git rev-parse <fixed-point>) and the diff is non-empty. A bad ref or empty diff should fail here — not inside two parallel sub-agents.

2. Identify the spec source

Look for the originating spec, in this order:

  1. Issue references in the commit messages (#123, Closes #45, GitLab !67, etc.) — fetch via the workflow in docs/agents/issue-tracker.md.
  2. A path the user passed as an argument.
  3. A spec file under docs/, specs/, or .scratch/ matching the branch name or feature.
  4. If nothing is found, ask the user where the spec is. If they say there isn't one, the Spec sub-agent will skip and report "no spec available".

3. Identify the standards sources

Anything in the repo that documents how code should be written, such as CODING_STANDARDS.md or CONTRIBUTING.md.

On top of whatever the repo documents, the Standards axis always carries the smell baseline below — a fixed set of Fowler code smells (Refactoring, ch.3) that applies even when a repo documents nothing. Two rules bind it:

  • The repo overrides. A documented repo standard always wins; where it endorses something the baseline would flag, suppress the smell.
  • Always a judgement call. Each smell is a labelled heuristic ("possible Feature Envy"), never a hard violation — and, like any standard here, skip anything tooling already enforces.

Each smell reads what it is → how to fix; match it against the diff:

  • Mysterious Name — a function, variable, or type whose name doesn't reveal what it does or holds. → rename it; if no honest name comes, the design's murky.
  • Duplicated Code — the same logic shape appears in more than one hunk or file in the change. → extract the shared shape, call it from both.
  • Feature Envy — a method that reaches into another object's data more than its own. → move the method onto the data it envies.
  • Data Clumps — the same few fields or params keep travelling together (a type wanting to be born). → bundle them into one type, pass that.
  • Primitive Obsession — a primitive or string standing in for a domain concept that deserves its own type. → give the concept its own small type.
  • Repeated Switches — the same switch/if-cascade on the same type recurs across the change. → replace with polymorphism, or one map both sites share.
  • Shotgun Surgery — one logical change forces scattered edits across many files in the diff. → gather what changes together into one module.
  • Divergent Change — one file or module is edited for several unrelated reasons. → split so each module changes for one reason.
  • Speculative Generality — abstraction, parameters, or hooks added for needs the spec doesn't have. → delete it; inline back until a real need shows.
  • Message Chains — long a.b().c().d() navigation the caller shouldn't depend on. → hide the walk behind one method on the first object.
  • Middle Man — a class or function that mostly just delegates onward. → cut it, call the real target direct.
  • Refused Bequest — a subclass or implementer that ignores or overrides most of what it inherits. → drop the inheritance, use composition.

4. Spawn both sub-agents in parallel

Send a single message with two Agent tool calls. Use the general-purpose subagent for both.

Standards sub-agent prompt — include:

  • The full diff command and commit list.
  • The list of standards-source files you found in step 3, plus the smell baseline from step 3 pasted in full — the sub-agent has no other access to it.
  • The brief: "Report — per file/hunk where relevant — (a) every place the diff violates a documented standard: cite the standard (file + the rule); and (b) any baseline smell you spot: name it and quote the hunk. Distinguish hard violations from judgement calls — documented-standard breaches can be hard, but baseline smells are always judgement calls, and a documented repo standard overrides the baseline. Skip anything tooling enforces. Under 400 words."

Spec sub-agent prompt — include:

  • The diff command and commit list.
  • The path or fetched contents of the spec.
  • The brief: "Report: (a) requirements the spec asked for that are missing or partial; (b) behaviour in the diff that wasn't asked for (scope creep); (c) requirements that look implemented but where the implementation looks wrong. Quote the spec line for each finding. Under 400 words."

If the spec is missing, skip the Spec sub-agent and note this in the final report.

5. Aggregate

Present the two reports under ## Standards and ## Spec headings, verbatim or lightly cleaned. Do not merge or rerank findings — the two axes are deliberately separate (see Why two axes).

End with a one-line summary: total findings per axis, and the worst issue within each axis (if any). Don't pick a single winner across axes — that's the reranking the separation exists to prevent.

Why two axes

A change can pass one axis and fail the other:

  • Code that follows every standard but implements the wrong thing → Standards pass, Spec fail.
  • Code that does exactly what the issue asked but breaks the project's conventions → Spec pass, Standards fail.

Reporting them separately stops one axis from masking the other.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

ask-matt

무료

Ask which skill or flow fits your situation. A router over the skills in this repo.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

egma-ai/egma1452026년 9월 30일 업데이트

bro

무료

Re-explain the previous assistant message in a much simpler way — for when the reply made you go 'bro what'. Use /bro to get a plain-language version of the last answer.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

egma-ai/egma1452026년 9월 30일 업데이트

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

egma-ai/egma1452026년 9월 30일 업데이트

Drive one ticketed effort through parallel implementation, independent review, serial integration, and one open pull request.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

egma-ai/egma1452026년 9월 30일 업데이트

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

egma-ai/egma1452026년 9월 30일 업데이트

Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

egma-ai/egma1452026년 9월 30일 업데이트

egma-ai의 스킬 모두 보기

이 스킬의 문제 신고