pythonista-reviewing
Code review best practices for Python projects. Use when reviewing code, PRs, or diffs. Triggers on "review", "code review", "PR", "pull request", "diff", "check this", "look at this code", "quality", "refactor...
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Code review best practices for Python projects. Use when reviewing code, PRs, or diffs. Triggers on "review", "code review", "PR", "pull request", "diff", "check this", "look at this code", "quality", "refactor...
Use when reviewing code, PRs, or diffs. Triggers on "review", "code review", "PR", "pull request", "diff", "check this", "look at this code", "quality", "refactor", "egregious", "cross-file", "duplicate", "dupl...
Clean code principles, error handling patterns, and coding standards for PACT Code phase. Use when: implementing features, refactoring code, reviewing code quality, establishing coding conventions, or handling...
Evaluate code review quality and provide feedback on review effectiveness and thoroughness
Local code review using CodeRabbit CLI. Use when user wants to review changes before committing or pushing.
Full project code review using multiple AI CLIs (Claude, Gemini, Codex). Use when user wants comprehensive multi-perspective code review.
Comprehensive code review checking quality, security, and best practices. Triggers: CR, review, 審查, 檢查, check, 看一下, PR, code review, 品質.
This skill should be used when the user asks to "review code", "review this PR", "code review", "audit this code", or mentions reviewing pull requests, security checks, or code quality. Covers security (OWASP),...
Sarcastic QA Lead who audits codebases for code smells, anti-patterns, and WTF moments. Provides best-practice fixes with cutting wit. Use for code reviews and quality audits.
Apply when reviewing pull requests, conducting code reviews, or self-reviewing code before submission.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable
Perform code review, analyze code quality, find bugs, suggest improvements, check best practices and coding standards.
AI-powered code review using CodeRabbit CLI. Use when reviewing code changes, checking PR readiness, getting feedback on staged/committed changes, or when the user mentions code review, CodeRabbit, or wants the...
Reviews code for logic flaws, edge cases, performance bottlenecks, security vulnerabilities, maintainability concerns, architecture best practices, and adherence to local patterns and CLAUDE.md guidelines. Use...
Review and finalize (REVIEWER + DOCUMENTER phases) - runs adversarial code review, commits changes, completes task, and records reflection to capture pattern outcomes.
Review and finalize (REVIEWER + DOCUMENTER phases) - runs adversarial code review, commits changes, completes task, and submits reflection to update pattern trust scores.
This skill should be used when writing code in any opinionated framework's distinctive style. It applies when writing framework-based applications, creating models/controllers/views, or any framework code. Trig...
Code review checklist and patterns for thorough PR reviews
Systematic code review workflow. Use this when asked to review code, PRs, or assess code quality.
Comprehensive code review before committing changes. Verifies alignment with specifications, ensures consistency, runs tests with 50%+ coverage requirement, and evaluates architecture and maintainability. Use w...
Reviews code for quality, security, and maintainability. Use after implementing features, completing significant work, or when user asks for code review.
Reviews code for quality, security, and maintainability. Use after implementing features, completing significant work, or when user asks for code review.
Reviews code for quality, security, and maintainability. Use after implementing features, completing significant work, or when user asks for code review.
Use when code review is needed - after each task in subagent-driven development, before merging to main, or after completing major features
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.