Skills matching the name, description or GitHub author.
Review code written by Claude Code or humans across multiple languages. Use when asked to review, audit, critique, or analyze code quality. Supports R, Python, JavaScript, SQL, C++, Rust, Go, Ansible, Kustomize...
测试 AST 能检测 subprocess 危险用法
测试 AST 能检测真实的 eval() 调用
Use when profiling and making small performance improvements in Python research code.
Use when checking for data leaks, PII handling, and license risks in Python research code.
Python code review specialist. Use when reviewing Python code, checking for bugs, security issues, or ensuring code quality standards.
Generate intelligent Python project documentation with UML class diagrams, architecture diagrams, and code analysis. Analyzes codebase structure to recommend and create appropriate visualizations for project ov...
Systematic approach to debugging Python code - use when user encounters errors or unexpected behavior
Provides comprehensive code review guidance for React 19, Vue 3, Rust, TypeScript, Java, and Python. Helps catch bugs, improve code quality, and give constructive feedback. Use when: reviewing pull requests, co...
Fast environment briefing for agents and subagents. Use at session start to learn OS/shell, container/WSL/VM status, git repo + upstream + dirty state, Python venv status/locations, markdown folders to read, an...
Systematic identification of race conditions, concurrency bugs, and thread-safety issues across codebases. Use when asked to find race conditions, audit concurrent code, debug non-deterministic behavior, review...
Comprehensive Python testing skill using pytest framework. Use when writing, running, or debugging Python tests, creating fixtures, parametrizing tests, mocking dependencies, measuring coverage, or any pytest-r...
Analyze and explain Python code in detail. Provides comprehensive explanations of functions, classes, logic, and best practices. Use when user needs detailed explanations of Python code, documentation of existi...
Python logging made (stupidly) simple. Focuses on a single, global logger with progressive disclosure to deep source understanding.
Comprehensive guide for building serverless applications with Cloudflare Workers. Use when developing Workers, configuring bindings, implementing runtime APIs, testing Workers, using Wrangler CLI, deploying to...
Generate hierarchical code maps from any codebase for AI agent consumption. Use when: (1) Analyzing or understanding a codebase structure, (2) Creating documentation of code architecture, (3) Mapping dependenci...
Automate detection and removal of duplicate files/functions in TypeScript, JavaScript, and Python projects. Safely refactor imports, validate with tests, and deploy changes with zero risk of breaking the system...
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. Su...
Analyse Python code for refactoring opportunities using functional programming principles, code quality checks, and manual refactoring guidance. Use when user wants to improve code quality, check for code smell...
Detect and fix memory leaks in Python and PyTorch code, especially matplotlib figures and unreleased tensors. This skill should be used during Phase 4 performance optimization when memory usage grows over time.
VS Code language diagnostics and Jupyter code execution using IDE MCP. Use for checking type errors, running Python code in notebooks, or getting real-time code analysis. Triggers on requests for diagnostics, t...
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
Add detailed comments explaining WHY code works, its context, edge cases, and performance implications. Use when user mentions "add comments", "document", "explain code", "improve readability", or "maintainabil...
Systems-level performance engineering for Rust, C/C++, and Python codebases. Use when profiling, debugging performance bottlenecks, analyzing CPU/memory usage, finding slow code paths, optimizing hot loops, inv...
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.