16,832 skills sorted by stars.
WHEN: Pandas/NumPy code review, data processing, vectorization, memory optimizationWHAT: Vectorization patterns + Memory...
Use when you need to inspect detailed execution flow of a Python program, stepping through functions and inspecting vari...
Debug Python errors, exceptions, and unexpected behavior. Analyzes tracebacks, reproduces issues, identifies root causes...
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...
This skill should be used when the user asks about "Python code style", "type hints", "structlog logging", "how to log",...
Comprehensive Python engineering guidelines for writing production-quality Python code. This skill should be used when w...
Use for Python development requiring async programming, type system expertise, testing patterns, or performance optimiza...
Python FastAPI development with uv package manager, modular project structure, SQLAlchemy ORM, and production-ready patt...
FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagg...
Expert guidance for JAX (Just After eXecution) - high-performance numerical computing with automatic differentiation, JI...
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, co...
Expert guidance for Python logging libraries including structlog, standard logging, and log analysis. Use when working w...
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...
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, dat...
Sets up a new Python project with uv, virtual environment, and best practices for Windows 11. Use this when creating a n...
A skill that configures the agent to design, refactor, validate, and debug Pydantic v2 and v1 models, validators, and se...
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 environm...
Python environment setup on your computer for Badger 2350 development. Use when installing Python, setting up virtual en...
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 w...
Comprehensive Python programming guidelines based on Google's Python Style Guide. Use when Claude needs to write Python...
Python coding standards including line length (80 chars), naming conventions (snake_case, PascalCase), type hints, docst...
python-telegram-bot library for building Telegram bots. Use for handlers, callbacks, inline keyboards, conversations, an...
Fast Python type checking with ty (by Astral). Use when checking Python types, running type checks in CI, or setting up...
Comprehensive reference guide for Python type hints, static type checking with mypy, modern type annotation patterns (PE...