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Found 636 Skills
Review pull requests. Use when user asks to "review a PR", "/review-pr", or wants to review a pull request.
Technical debt detection and remediation. Run at session end to find duplicated code, dead imports, security issues, and complexity hotspots. Triggers: 'find tech debt', 'scan for issues', 'check code quality', 'wrap up session', 'ready to commit', 'before merge', 'code review prep'. Always uses parallel subagents for fast analysis.
Perform automated code reviews with best practices, security checks, and refactoring suggestions. Use when reviewing code, checking for vulnerabilities, or analyzing code quality.
TDD-based code simplification that preserves behavior through tests. Use Red-Green-Refactor cycles to simplify code one test-verified change at a time. **DISTINCT FROM**: General code review or AI rewriting—this skill requires existing tests and only proceeds when tests confirm behavior is preserved. **PROACTIVE**: Auto-invoke when test-covered code has complexity (functions >50 lines, high cyclomatic complexity, duplication) and user wants to simplify it safely. Trigger phrases: 'clean up code', 'make code simpler', 'reduce complexity', 'refactoring help'. **NOT FOR**: Adding features or fixing bugs—use /tdd skill instead.
Comprehensive code review assistant that analyzes code for security vulnerabilities, performance issues, and code quality. Use when reviewing pull requests, conducting code audits, or analyzing code changes. Supports Python, JavaScript/TypeScript, and general code patterns. Includes automated analysis scripts and structured checklists.
Use when dispatching code reviews for tiers with N greater than 1 (max-20x, max-5x) in subagent-driven development, or manually for critical changes over 200 lines or security-sensitive code
Write Python docstrings following the Google Python Style Guide, using clear sections and examples.
Expert-level code review focusing on quality, security, performance, and maintainability. Use this skill for conducting thorough code reviews, identifying issues, and providing constructive feedback.
Analyze and explain a pull request to help review it effectively
Review a spec document against codebase reality, identifying gaps and ensuring sound, robust implementations.
Detect common code smells and anti-patterns providing feedback on quality issues a senior developer would catch during review. Use when user opens/views code files, asks for code review or quality assessment, mentions code quality/refactoring/improvements, when files contain code smell patterns, or during code review discussions.
Start code reviews, PR checks, or bug analysis. Triggers: "review my code", "check this PR", "analyze for bugs", "code review". Do NOT use for: - Automating fixes (use `ask-python-refactor`). - Generating new features. Capabilities: - Static analysis: Correctness, Security, Performance, Style. - Feedback priority: Critical > Performance > Style.