Skills correspondant au nom, à la description ou à l’auteur GitHub.
Comprehensive multi-AI consensus workflow for: 1. CODE REVIEW - Clinical/technical review following SOP with TODO.md/IDEAS.md tracking 2. ANALYSIS PLANNING - Statistical/bioinformatic analysis plans saved to an...
Performs comprehensive PR code review from 5 perspectives (quality/performance/tests/docs/security) in parallel, providing Blockers/Suggestions/Nice-to-have and merge decision. Args: /review [owner/repo] [pr-nu...
Orchestrates complex or architectural code changes through a structured workflow. Use when the user requests multi-file changes, new features, architectural refactoring, database schema changes, new API endpoin...
Perform a comprehensive code review of current uncommitted changes in a git repository. Analyzes for bugs, security vulnerabilities, best practices, DRY violations, code smells, performance issues, and areas of...
Code review for Next.js and TypeScript projects. Use when asked to "review this code", "check this PR", "review my changes", "look at this component", or any code review request. Applies team standards for Type...
Code review checklist covering security, performance, defensive programming, and testing anti-patterns. Use before merging PRs, after implementing features, or when reviewing code quality.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement...
Comprehensive code review of current branch using multi-agent verification across DDD/OOP compliance, DRY violations, clean code principles, architecture patterns, and test coverage
Fetch and analyze GitHub PR review comments, evaluate their validity, and propose solutions. Use when the user asks to handle PR reviews, address reviewer feedback, check PR comments, or respond to code review...
Expert Python engineering for code review, quality improvement, and debugging. Use when reviewing Python code for best practices, refactoring for cleaner code, debugging errors, improving type safety with type...
**CODE REVIEWER**: '리뷰해', '검토해', '봐줘', '피드백', '확인해', '체크해', '코드 품질', '분석해', '이거 괜찮아?' 요청 시 자동 발동. Write/Edit 도구 사용 직후 자동 적용. Quality Gate, Code Smell, 복잡도 분석,...
Perform static analysis on cvp/ modules for code quality reports. Use for code review or quality checks.
Execute comprehensive code reviews using OpenAI Codex CLI. Use when: (1) reviewing git commits by ID or range, (2) reviewing pull requests by number, (3) requesting thorough code quality analysis. Triggers on p...
This skill should be used when the user asks to "провести ревью", "проверить код", "найти проблемы в коде", "code review", "найти баги", "проверить на ошибки", "analyze code quality", "ревью PR", "review pull r...
Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent fo...
Code review: security, performance, best practices
Perform critical code review with automated fix suggestions. Use when reviewing code changes, pull requests, specific files, or branch diffs. Triggers on requests like "review this code", "critical review", "co...
Automated code review checklist. Use when reviewing PRs or code changes.
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Fe...
Comprehensive GitHub code review with AI-powered swarm coordination
Code review guidelines covering code quality, security, and best practices.
Code review guidelines for general development and Rails projects. Provides reviewer personality, review perspectives, Rails-specific rules, and test quality standards. Use for code review, PR review, review co...
Enforce SOLID design principles during code generation, refactors, and code review (SRP/OCP/LSP/ISP/DIP). Use when changing architecture, introducing new abstractions, reducing coupling, eliminating type-switch...
M3社が開発したPythonの機械学習パイプラインツールgokartに関する深い知識とベストプラクティスを提供する。Use when reviewing gokart task designs, implementing type-safe ML pipelines, writing gokart tests, or workin...
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.