20,421 skills sorted by stars.
Expert guidance for Python testing that analyzes your existing setup and provides evidence-based recommendations. I'll examine you...
Python FastAPI 开发规范和最佳实践指南。适用于现代Web应用开发，涵盖项目架构、编码规范、异步编程、测试、部署等全方位内容。
Master Python syntax, data types, control flow, functions, OOP, and standard library
Expert guidance for JAX (Just After eXecution) - high-performance numerical computing with automatic differentiation, JIT compilat...
Expert guidance for Python logging libraries including structlog, standard logging, and log analysis. Use when working with Python...
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。
Instrument Java/Spring Boot applications with observability metrics. Use when adding metrics to microservices, integrating with mo...
Define and monitor Service Level Indicators (SLIs) and Service Level Objectives (SLOs) using Micrometer histograms. Use when imple...
Build professional Python CLIs with modern UX patterns using pyfiglet (ASCII banners), typer (commands), questionary (interactions...
Expert guidance for multiobjective optimization in Python - Pareto optimality, evolutionary algorithms (NSGA-II, NSGA-III, MOEA/D)...
Set up Python projects using nix/direnv with uv for environment management. Use when creating new Python projects, initializing Py...
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability,...
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when pack...
Use this skill when writing Python code following PEP 8 and modern Python best practices. Provides comprehensive guidance on code...
Python performance optimization patterns using profiling, algorithmic improvements, and acceleration techniques. Use when optimizi...
Low-risk Python performance optimization patterns with verified speedups
6-phase read-only analysis workflow for Python code in markdown documents.Detects design principle violations, code smells, and su...
Comprehensive plotting and visualization in Python - matplotlib (static publication-quality plots), seaborn (statistical visualiza...
Create and manipulate PowerPoint presentations programmatically. Build slide decks with layouts, shapes, charts, tables, and image...
Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in t...
Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipula...
Initialize complete Python project with comprehensive documentation, development environment, and tooling. Use when creating a new...
Use when exploring Python project structure, finding virtualenv paths (python/pip/pytest), or locating package metadata (name, ver...
Sets up a new Python project with uv, virtual environment, and best practices for Windows 11. Use this when creating a new Python...
Generate standardized Python project structure with pyproject.toml, UV environment, pytest configuration, and workspace-hub compli...
Set up Python project for PyPI publishing with pyproject.toml, src layout, and build scripts. Use when creating a new Python packa...
pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, int...
Expert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit-learn, sc...
WHEN: General Python code review, PEP8 compliance, type hints, Pythonic patternsWHAT: PEP8/style check + Type hint validation + Py...
Python 프로젝트 실행, 테스트, 문법 검사, 임포트 검증을 위한 스킬. `scripts/python-runner.sh`를 사용합니다.
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
Python development for scientific computing and SciTeX projects. Includes testing, debugging, ML practices, and environment manage...
Python scripting with uv and PEP 723 inline dependencies. Use when creating standalone Python scripts with automatic dependency ma...
Python environment setup on your computer for Badger 2350 development. Use when installing Python, setting up virtual environments...
Modern Python development with uv, ruff, mypy, and pytest. Use when: - Writing or reviewing Python code - Setting up Python projec...
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-telegram-bot library for building Telegram bots. Use for handlers, callbacks, inline keyboards, conversations, and bot comm...
Python unit testing patterns for pytest, including test file structure, fixtures, mocks, and coverage strategy. Use when asked to...
| pytest Command | Purpose |
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python te...
Comprehensive Python testing best practices, pytest conventions, test structure patterns (AAA, Given-When-Then), fixture usage, mo...
Fast Python type checking with ty (by Astral). Use when checking Python types, running type checks in CI, or setting up type check...
| Type | Syntax (3.9+) | Example |
Comprehensive reference guide for Python type hints, static type checking with mypy, modern type annotation patterns (PEP 484, 585...
Python type hints and type safety patterns. Triggers on: type hints, typing, TypeVar, Generic, Protocol, mypy, pyright, type annot...
Python development using the `uv` package manager. Use this skill when working with Python projects that use `uv` for dependency m...
Manage Python virtual environments and dependencies. Use when setting up projects or installing packages.