Skills correspondant au nom, à la description ou à l’auteur GitHub.
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...
CLI testing strategies and patterns for Node.js (Jest) and Python (pytest, Click.testing.CliRunner). Use when writing tests for CLI tools, testing command execution, validating exit codes, testing output, imple...
Guides on analyzing and improving test coverage for Python (pytest-cov) and JavaScript (c8) projects. Use when a user asks to set up test coverage, generate coverage reports, understand why coverage is low, or...
Expert system for identifying deprecated patterns, suggesting refactoring to modern standards (Python 3.12+, ES2024+), checking test coverage, and leveraging AI-powered tools. Proactively applied when users req...
Debugging techniques for Python, JavaScript, and distributed systems. Activate for troubleshooting, error analysis, log investigation, and performance debugging.
Use when Python code runs slowly, needs profiling, requires async/await patterns, or needs concurrent execution - covers profiling tools, optimization patterns, and asyncio; measure before optimizing (plugin:py...
Execute AI-generated code in secure isolated E2B cloud sandboxes with advanced monitoring, MCP gateway integration (200+ tools), and multi-language support. Use for running Python/JavaScript/TypeScript/Bash cod...
Profile and optimize Python backend code using cProfile, memory profilers, and performance best practices. Use when debugging slow FastAPI code, optimizing bottlenecks, or improving application performance.
Generate diagnosis exercises from concept descriptions. Use when user wants to teach a technical concept (Python testing, Flask apps, deployment, async code, etc.) by creating a broken→fixed code example and tu...
Run code snippets in 30+ programming languages including JavaScript, Python, TypeScript, Java, C, C++, Go, Rust, Ruby, PHP, and more. Use when the user wants to execute code, test algorithms, verify output, run...
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.