Discover databases code quality skills, compare source repositories and read the instructions for each workflow.
Git commit quality and conventional commits expertise with automatic issue tracking integration. Auto-invokes when the user explicitly asks about commit message format, commit quality, conventional commits, com...
Perform comprehensive code reviews covering security, style, performance, and best practices. Use when reviewing code changes before commit or merge, auditing existing code, or checking for vulnerabilities.
This skill should be used when reviewing pull requests, performing comprehensive code review, analyzing code changes before merge, or when the user asks for thorough/ultra-critical code review. Performs EXTREME...
Code review of current git changes, compare to related plan if exists, identify bad engineering, over-engineering, or suboptimal solutions. Use when user asks to review changes, check git diff, validate impleme...
Run comprehensive codebase audit for gaps, deprecated code, TODOs, FIXMEs, architectural anti-patterns, type issues, and code smells. Use when user asks to audit code, find issues, check code quality, or identi...
Audit all filename and naming conventions in the codebase against CLAUDE.md standards and common patterns. Use when user asks to check naming conventions, audit filenames, find naming inconsistencies, or valida...
Przeprowadza code review dla Next.js 16, React 19, Drizzle ORM, Tailwind CSS 4, Radix UI, SWR. Używaj przy przeglądaniu PR, ocenie implementacji fazy/etapu, weryfikacji zgodności z planem. Generuje raport z kla...
Run .NET architecture linter to check for MSBuild/CPM violations
Prevents shortcuts and cheating when completing tasks. Blocks commits with warning suppressions, commented tests, or deleted assertions.
Use for ad-hoc/standalone reviews outside pipelines (fast checks during implementation or before handoff) using `codex review`.
Automated lint and test smoke check workflow for code quality verification. Triggers when user requests code quality checks, lint execution, test validation, or smoke testing. Use for pre-commit checks or quali...
Create a git commit with automatic AI code review (Codex/Gemini rotation). Triggers on /commit.
Automated validation results analysis for post-commit workflow. Triggers when user requests validation analysis, code review summary, or checking background validation results. Analyzes Biome, TypeScript, and A...
This skill should be used when the user asks to "review code", "check for anti-patterns", "audit my code", "find issues in code", "review this file", "check this component", or mentions code review, linting, or...
This skill should be used when the user asks to "analyze error handling", "review exception handling", "check error patterns", "audit error recovery", "review logging", "check error boundaries", or mentions err...
This skill should be used when the user asks to "analyze architecture", "review code structure", "check SOLID principles", "evaluate layering", "assess separation of concerns", "review module organization", or...
Code quality review patterns including quality gates, checklists, and language-specific checks.
Pack codebases into context-optimized formats for analysis and understanding.
Semantic code research across GitHub repositories for finding implementations, patterns, and conducting PR/security reviews.
This skill should be used when the user asks to "review code", "check code quality", "find improvements", "refactor code", "fix code issues", "perform code review", "check for bugs", "improve code", "analyze co...
內容一致性檢查器 — 確保程式碼、文檔、多來源之間保持一致
Perform comprehensive dead code and clean-up analysis in Python projects using static analysis, coverage, dependency checks, and security scanning. Use when asked to clean up code, find unused code, analyze dep...
Code Smells refactoring skill
Code review and quality assurance specialist for ensuring code quality, security, and maintainability
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.