code-reviewer
Skill4 starsChanged 2 months agoApache-2.0View on GitHub
Comprehensive code review for quality, architecture, and performance. Use when reviewing PRs, auditing code quality, checking coding standards, evaluating design patterns, identifying performance bottlenecks, or analyzing technical debt. Triggers on "review", "audit", "analyze code", "check quality", "code smell".
182 other projects use a version of this.
Adopted by
Most recently taken up by
- santiago-migoni/claude-skillstheir own version, first seen Nov 8, 2026
- SaehwanPark/agent-skills-archivetheir own version, first seen Nov 8, 2026
- nainishshafi/developer-productivity-skillstheir own version, first seen Nov 8, 2026
- Flowerf19/agents-skillstheir own version, first seen Nov 8, 2026
- darkweb19/skillstheir own version, first seen Nov 8, 2026
- kazemcodes/skill-treetheir own version, first seen Nov 8, 2026
Used with
Projects with it also use git-doc-updater, git-precommit and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
u9401066Skillgit-doc-updater
Auto-check and update key documentation before Git commits to keep docs in sync with code. Triggers: docs, 文檔, 更新文檔, sync docs, release, 發布.
Also in 5 projects that use this
u9401066Skillgit-precommit
Orchestrate pre-commit workflow including Memory Bank sync, README/CHANGELOG/ROADMAP updates. Triggers: GIT, gc, push, commit, 提交, 準備 commit, 要提交了, git commit, pre-commit, 推送.
Also in 5 projects that use this
JeffallanSkillshopify-expert
Builds and debugs Shopify themes (.liquid files, theme.json, sections), develops custom Shopify apps (shopify.app.toml, OAuth, webhooks), and implements Storefront API integrations for headless storefronts. Use when building or customizing Shopify themes, creating Hydrogen or custom React storefronts, developing Shopify apps, implementing checkout UI extensions or Shopify Functions, optimizing performance, or integrating third-party services. Invoke for Liquid templating, Storefront API, app development, checkout customization, Shopify Plus features, App Bridge, Polaris, or Shopify CLI workflows.
Also in 5 projects that use this
JeffallanSkillspec-miner
Reverse-engineering specialist that extracts specifications from existing codebases. Use when working with legacy or undocumented systems, inherited projects, or old codebases with no documentation. Invoke to map code dependencies, generate API documentation from source, identify undocumented business logic, figure out what code does, or create architecture documentation from implementation. Trigger phrases: reverse engineer, old codebase, no docs, no documentation, figure out how this works, inherited project, legacy analysis, code archaeology, undocumented features.
Also in 6 projects that use this
- +4 more from u9401066
- +4 more from Jeffallan
Other versions182 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 182
- google-gemini/gemini-cli★ 109ksame name
- NVIDIA/SkillSpector★ 25ksame name
- Jeffallan/claude-skills★ 12ksame name
- jewbetcha/openflight★ 1.2ksame name
- web-infra-dev/rsdoctor★ 1.2ksame name
- zhnnky329/MathModeling-skills★ 1.1ksame name
- MageByte-Zero/spec-superflow★ 875same name
- waybarrios/opencode-power-pack★ 547same name
- Karanjot786/TermUI★ 238same name
- elithrar/dotfiles★ 222same name
172 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository43 other files it gives its agents.
- skills/vercel-react-best-practices/AGENTS.mdAGENTS.md
- agent-notepadSkill
- architecture-reviewerSkill
- backend-service-auditorSkill
- channel-listenerSkill
- coder-file-transferSkill
- cold-start-generatorSkill
- creating-skillsSkill
- critical-thinkingSkill
- dark-factory-buildSkill
- dependency-risk-auditorSkill
- df-adversary-gateSkill
- df-app-walkthroughSkill
- df-context-storeSkill
- df-data-transform-lensSkill
- df-dispatch-subagentsSkill
- df-infrastructureSkill
- df-observabilitySkill
- df-product-ownerSkill
- df-qaSkill
- df-solution-architectSkill
- df-tdd-developerSkill
- df-ui-verifySkill
- df-video-intakeSkill
- dx-maintainability-reviewerSkill
- frontend-auditorSkill
- handoffSkill
- microservices-architectSkill
- production-readiness-reviewerSkill
- repo-docsSkill
- requirements-discoverySkill
- sc-auditSkill
- sc-devSkill
- scope-initSkill
- scope-retireSkill
- security-threat-modelerSkill
- service-mapperSkill
- test-quality-gatekeeperSkill
- vercel-react-best-practicesSkill
- vinculum-loopSkill
- vinculum-mapSkill
- web-design-guidelinesSkill
- work-autonomouslySkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 155 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Before reviewing, gather context:
“Common” is measured: kept by at least 6 in 10 of the 155 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Code Reviewer
Perform thorough code reviews covering quality, architecture, and performance aspects.
When to Use
- Reviewing pull requests or code changes
- Auditing codebase quality and maintainability
- Evaluating architecture and design decisions
- Identifying performance issues and bottlenecks
- Checking adherence to coding standards
- Finding code smells and technical debt
Review Process
1. Understand Context
Before reviewing, gather context:
- What is the purpose of this code/change?
- What are the project's conventions? (check CLAUDE.md, .eslintrc, etc.)
- Are there existing patterns to follow?
2. Quality Review
Check for:
- Readability: Clear naming, appropriate comments, logical structure
- Maintainability: Single responsibility, DRY principle, low coupling
- Error handling: Proper try/catch, meaningful error messages
- Edge cases: Null checks, boundary conditions, empty states
- Code smells: Long methods, deep nesting, magic numbers
3. Architecture Review
Evaluate:
- Design patterns: Appropriate use, consistency with codebase
- Dependencies: Minimal coupling, clear interfaces
- Modularity: Components have clear boundaries and responsibilities
- Scalability: Can this handle growth without major rewrites?
- Testability: Is the code easy to unit test?
4. Performance Review
Identify:
- Algorithmic efficiency: Time/space complexity concerns
- Memory management: Leaks, unnecessary allocations
- Render performance: Unnecessary re-renders (React), DOM thrashing
- Network efficiency: N+1 queries, missing caching, payload sizes
- Resource cleanup: Event listeners, subscriptions, intervals
Output Format
Structure your review as:
## Code Review: [File/Component Name]
### Summary
[1-2 sentence overview of the review findings]
### Critical Issues
[Must fix before merge - bugs, security issues, data loss risks]
### Recommendations
[Should fix - quality, performance, maintainability improvements]
### Suggestions
[Nice to have - style preferences, minor optimizations]
### Positive Highlights
[Good patterns worth noting for team learning]Severity Levels
| Level | Description | Action |
| Critical | Bugs, security vulnerabilities, data corruption risk | Block merge |
| High | Performance issues, maintainability problems | Should fix |
| Medium | Code smells, minor inefficiencies | Recommend fix |
| Low | Style preferences, nitpicks | Optional |
Review Checklist
See CHECKLIST.md for the complete review checklist.
Examples
See EXAMPLES.md for sample reviews demonstrating proper format and tone.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

