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Found 633 Skills
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.
Best practices for LLM-assisted coding. Declarative workflows, simplicity, tenacity.
Orchestrate parallel debugging agents with root-cause tracing for multi-failure scenarios
Standardized output format for code reviews with severity labels, file:line references, and fix code snippets. Use when generating review reports that need consistent, actionable feedback structure.
Use OpenAI's Codex CLI as an independent code reviewer to provide second opinions on code implementations, architectural decisions, code specifications, and pull requests. Trigger when users request code review, second opinion, independent review, architecture validation, or mention Codex review. Provides unbiased analysis using GPT-5-Codex model through the codex exec command for non-interactive reviews.