16,832 skills sorted by stars.
WHEN: Pandas/NumPy code review, data processing, vectorization, memory optimizationWHAT: Vectorization patterns + Memory efficienc...
Use when you need to inspect detailed execution flow of a Python program, stepping through functions and inspecting variable conte...
Debug Python errors, exceptions, and unexpected behavior. Analyzes tracebacks, reproduces issues, identifies root causes, and prov...
Master debugger for Python code with expertise in common errors, performance issues, and debugging tools
Python development. Use when writing Python code, CLI tools, scripts, or services. Emphasizes stdlib, type hints, pytest toolchain...
This skill should be used when the user asks about "Python code style", "type hints", "structlog logging", "how to log", "code org...
Comprehensive Python engineering guidelines for writing production-quality Python code. This skill should be used when writing Pyt...
Use for Python development requiring async programming, type system expertise, testing patterns, or performance optimization.
Python FastAPI development with uv package manager, modular project structure, SQLAlchemy ORM, and production-ready patterns.
FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starle...
Expert guidance for JAX (Just After eXecution) - high-performance numerical computing with automatic differentiation, JIT compilat...
UTF-8 JSON file I/O utilities to avoid Windows encoding issues (CP-1252 vs UTF-8)
Python linting and type checking using ruff (formatting + linting) and pyright (type checking). Covers common errors, configuratio...
Expert guidance for Python logging libraries including structlog, standard logging, and log analysis. Use when working with Python...
Small Python utilities for math and text files.
Python SDKとFastMCPフレームワークを使用したModel Context Protocol (MCP) サーバー構築のガイド。PythonベースのMCPサーバーの作成、デバッグ、最適化を行う際に使用してください。
Use when you need a detailed execution trace of a Python script using sys.monitoring, including logging every operation with inclu...
Low-risk Python performance optimization patterns with verified speedups
Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipula...
Sets up a new Python project with uv, virtual environment, and best practices for Windows 11. Use this when creating a new Python...
A skill that configures the agent to design, refactor, validate, and debug Pydantic v2 and v1 models, validators, and settings. Us...
PEP8、クリーンコード原則、Pythonのベストプラクティスに基づいてコード品質をチェック。Pythonプロジェクトでコード品質チェック、リント、フォーマットを依頼された時に使用。
Python 프로젝트 실행, 테스트, 문법 검사, 임포트 검증을 위한 스킬. `scripts/python-runner.sh`를 사용합니다.
Python development for scientific computing and SciTeX projects. Includes testing, debugging, ML practices, and environment manage...
Python environment setup on your computer for Badger 2350 development. Use when installing Python, setting up virtual environments...
Python code quality standards (PEP 8, type hints, docstrings). Use when writing Python code.
Python coding conventions and best practices. Use when writing, reviewing, or refactoring Python code, or when working with Python...
Comprehensive Python programming guidelines based on Google's Python Style Guide. Use when Claude needs to write Python code, revi...
Python coding standards including line length (80 chars), naming conventions (snake_case, PascalCase), type hints, docstrings, exc...
python-telegram-bot library for building Telegram bots. Use for handlers, callbacks, inline keyboards, conversations, and bot comm...
Fast Python type checking with ty (by Astral). Use when checking Python types, running type checks in CI, or setting up type check...
Comprehensive reference guide for Python type hints, static type checking with mypy, modern type annotation patterns (PEP 484, 585...