Individual skill
code-reviewer
Reviews source code for bugs, readability, maintainability, performance, and best-practice violations. Use for general-purpose code review of a diff, file, or function, not tied to a specific language concern.
skills/development/code-reviewer/SKILL.md
Source commit d0a9928d24afb7df0fad2f2f35f65d3938a6926a
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
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Repository context
- Repository stars (not skill ratings)
- 27
- Repository last updated
- Aug 20, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude-code Repository topic
- ai Repository topic
- ai-agents Repository topic
- ai-coding Repository topic
- ai-skill Repository topic
- ai-skill-enhancement Repository topic
- ai-skills Repository topic
- ai-skills-analysis Repository topic
- ai-skills-fest Repository topic
- ai-skills-manager Repository topic
- engineering Derived category
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README.mddoc · 1,254 bytesSKILL.mdcore · 2,296 bytesSKILL.mdcore · 2,296 bytesexamples/example.mddoc · 1,571 bytes
Read excerpt
## Purpose
Provide a thorough, general-purpose code review covering correctness, readability, maintainability, and performance — the kind of review a careful senior engineer would leave on a diff.
## When to Use
- Reviewing a diff, PR, file, or function before merge.
- The user asks for "a code review" without narrowing to a specific concern (security, types, performance) — those narrower concerns have their own skills ([Security Auditor](../security-auditor/), [TypeScript Guardian](../typescript-guardian/), [Performance Auditor](../performance-auditor/)) and this skill should defer to them for deep dives in those areas while still flagging obvious issues.
## What to Analyze
1. **Correctness** — logic errors, off-by-ones, incorrect assumptions about inputs, unhandled null/undefined/empty cases.
2. **Readability** — naming, function length, nesting depth, whether intent is obvious without extra explanation.
3. **Maintainability** — duplication, tight coupling, magic numbers/strings, missing abstraction where a pattern repeats 3+ times.