skill
Code Review
نبذة
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. 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.), fetched 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. 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
**Standards sub-agent prompt** should 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** should include:
- The diff command and commit list. - The path or fetched contents of the spec. - The brief: "Report: (a) requirements the
التثبيت
شغل هذا الأمر
npx skills add mattpocock/skillsيعمل مع
خطوات التثبيت
Install with `npx skills add mattpocock/skills`, or clone the repository and copy the `skills/engineering/code-review` folder into your Claude skills directory.
أسئلة شائعة
كيف أثبت Code Review؟
شغل هذا الأمر في الطرفية:
npx skills add mattpocock/skillsمع أي أدوات ذكاء اصطناعي تعمل Code Review؟
تعمل مع claude_app، claude_code، claude_api، cursor، codex، windsurf، cline، zed.
من طور Code Review؟
طورها mattpocock.
هل Code Review مجانية؟
نعم، يمكنك استخدامها مجانا.
git clone https://github.com/anthropics/skills && cp -r skills/skills/claude-api ~/.claude/skills/
npx skills add mattpocock/skills
npx skills add mattpocock/skills
npx skills add mattpocock/skills
npx skills add microsoft/azure-skills
npx skills add microsoft/azure-skills
افحص قبل التثبيت
شغل أي مصدر عبر فحوصاتنا - الظهور في الذكاء الاصطناعي والأمان والأداء واكتشاف التقنيات.
فحص أمني تلقائي للموقع
الأمان
محلل سرعة الصفحة
الأداء
اختبار جودة المحتوى العربي بالذكاء الاصطناعي
جودة المحتوى
مختبر وكلاء الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
كاشف منصة الموقع
الترحيل
تدقيق الظهور في محركات الذكاء الاصطناعي
الظهور في الذكاء الاصطناعي
مولد ملف llms.txt
الظهور في الذكاء الاصطناعي
مقياس سهولة القراءة بالعربية
جودة المحتوى
منشئ البيانات المنظمة
الظهور في الذكاء الاصطناعي
حاسبة تكاليف الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
محلل العناوين العربية
جودة المحتوى