Matt Pocock 工程方法论 - code-review

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工程方法论GPT-4.1工程实践codereview

code-review:mattpocock/skills 方法论: engineering/code-review,适用于工程实践、代码质量与开发流程优化。

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Skill Documentation

Matt Pocock 工程方法论 - code-review

摘要

code-review:mattpocock/skills 方法论: engineering/code-review,适用于工程实践、代码质量与开发流程优化。

> 来源: mattpocock/skills (141k stars) — Total TypeScript 创始人 Matt Pocock

> 类目: 工程方法论

> 原文件: skills/engineering/code-review/SKILL.md

> 模型推荐: gpt-4.1 (代码工程)

这个 skill 是干嘛的

Matt Pocock (Total TypeScript, 141k stars) 沉淀下来的"日常代码工程动作"skill 模板。

每一个对应一个具体动作(代码评审 / TDD / 重构 / 文档对齐 / 任务交接),不是工具,是"该怎么干这件事"的工作流模板。

michael 强调"skill 要有相应的指导功能,指导用户使用",所以这里加了下面两节让 Agent 和用户对接。

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🤖 Agent 使用说明

1. 接到任务后先按这个 skill 的检查清单走一遍

2. 清单里如果出现"先做 X 才能做 Y"的红线 → 必须先完成 X

3. 跑完清单后开始动手(改代码 / 写文档 / 评审)

4. 完工前用 `verification-before-completion`(superpowers) 或 `verification` 类 step 自检

5. 任务量大时考虑用 `dispatching-parallel-agents`(superpowers) 或 `wayfinder`(mattpocock) 拆解

👤 用户需要做什么?

1. 告诉 Agent 你要做什么(一句话即可)

2. Agent 跑 skill 清单时不要打断 — 它可能在收集上下文

3. 如果 Agent 主动问你"代码评审要不要安排一个 reviewer"等决策点 → 直接回答

4. 完工后让 Agent 跑一遍自检再交回

5. 整个过程 Agent 自动化,不需要手工介入

---

原 skill 内容(mattpocock/skills/engineering/code-review/SKILL.md)

---

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/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".

---

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

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. If `docs/agents/issue-tracker.md` is missing, tell the user to run `/setup-matt-pocock-skills`.

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:

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

4. Spawn both sub-agents in parallel

**Standards sub-agent prompt** — include:

**Spec sub-agent prompt** — include:

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:

Reporting them separately stops one axis from masking the other.

常见问题(FAQ)

使用「code-review」这个 skill 能解决什么问题?

本 skill 专注于code-review,mattpocock/skills 方法论: engineering/code-review。它将相关流程标准化,帮助用户更快拿到可靠结果,减少重复手工操作。

什么情况下适合使用「code-review」?

当你需要在code-review相关工作中获得稳定、可复用的产出时最适合——无论是单次任务还是纳入日常工作流,都能直接调用。

使用「code-review」前需要准备什么?

需要一个具体的项目或任务上下文,最好带有代码仓库或需求文档。

FAQ

👤 用户需要做什么?

1. 告诉 Agent 你要做什么(一句话即可)

2. Agent 跑 skill 清单时不要打断 — 它可能在收集上下文

3. 如果 Agent 主动问你"代码评审要不要安排一个 reviewer"等决策点 → 直接回答

4. 完工后让 Agent 跑一遍自检再交回

5. 整个过程 Agent 自动化,不需要手工介入

---

*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. If `docs/agents/issue-tracker.md` is missing, tell the user to run `/setup-matt-pocock-skills`.

使用「code-review」这个 skill 能解决什么问题?

本 skill 专注于code-review,mattpocock/skills 方法论: engineering/code-review。它将相关流程标准化,帮助用户更快拿到可靠结果,减少重复手工操作。

什么情况下适合使用「code-review」?

当你需要在code-review相关工作中获得稳定、可复用的产出时最适合——无论是单次任务还是纳入日常工作流,都能直接调用。

使用「code-review」前需要准备什么?

需要一个具体的项目或任务上下文,最好带有代码仓库或需求文档。