python-fastapi-dev
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。
Find the perfect capability for your agent.
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。
Comprehensive guide for publishing Python packages to PyPI. Use when (1) Publishing new Python packages to PyPI, (2) Updating existing packages with new versions, (3) Troubleshooting PyPI upload errors, (4) Setting up automated publishing workflows, (5) Managing version numbers and package metadata, (6) Using API tokens for secure publishing, (7) Testing packages before production release, or any PyPI publishing tasks.
Comprehensive guide for using uv, an extremely fast Python package and project manager written in Rust. Use when working with Python projects for (1) Installing and managing Python packages, (2) Creating and managing virtual environments, (3) Installing and switching between Python versions, (4) Running Python scripts with dependency management, (5) Managing Python projects with lockfiles, (6) Replacing pip, pip-tools, pipx, poetry, pyenv, virtualenv workflows, or any Python package management tasks.
Analyze Python imports and dependencies. Use to understand project structure, find unused imports, or generate requirements.txt files.
Use this skill when installing applications, packages, tools, or services on the system. Handles Python (uv), Node/JS/TS (bun), Docker containers, and GitHub-sourced installations with mise-managed tools and ecosystem integration patterns.
Comprehensive guide for using Pixi, a fast and reproducible package management tool for Python, Rust, C/C++, and other languages. Use when (1) Managing Python project dependencies and environments, (2) Setting up reproducible development environments with conda and PyPI packages, (3) Creating cross-platform task runners and build pipelines, (4) Managing multiple isolated environments for testing and development, (5) Installing and managing global CLI tools, (6) Building and packaging conda packages, (7) Working with mixed conda and PyPI dependencies, (8) Setting up CI/CD pipelines with reproducible environments
適切なプロジェクト構造、setup.py/pyproject.toml、PyPIへの公開を使用して配布可能なPythonパッケージを作成。Pythonライブラリのパッケージング、CLIツールの作成、Pythonコードの配布時に使用。
This skill should be used when working with Python projects that use uv for package and project management. Use this skill for running Python scripts and CLI tools with `uv run`, managing dependencies, creating projects, handling virtual environments, and executing commands within isolated project environments. Essential for projects with pyproject.toml files.
Python project workflow guidelines. Triggers: .py, pyproject.toml, uv, pip, pytest, Python. Covers package management, virtual environments, code style, type safety, testing, configuration, CQRS patterns, and Python-specific development tasks.
高速Python依存関係管理、仮想環境、モダンなPythonプロジェクトワークフローのためのuvパッケージマネージャーをマスター。Pythonプロジェクトのセットアップ、依存関係の管理、uvによるPython開発ワークフローの最適化時に使用。
Python asyncio、並行プログラミング、高性能アプリケーション向けの非同期/awaitパターンをマスター。非同期API、並行システム、ノンブロッキング操作が必要なI/OバウンドアプリケーションをPythonで構築する際に使用。
Best practices for writing automation scripts in Python and Bash. Use when writing automation scripts, choosing between languages, debugging subprocess errors, or implementing error handling patterns. Load language-specific references as needed.
Production-grade testing strategies for robust, maintainable systems. Covers unit/integration/E2E testing, contract testing, accessibility, mutation testing, and CI/CD patterns. Supports Python (pytest) and TypeScript (Jest/Vitest/Playwright).
DevContainer configuration for consistent development environments with Docker, multi-stage builds, non-root users, environment management, Docker-in-Docker support, and Python with uv. Activate when working with .devcontainer/, devcontainer.json, Dockerfile, or container-based development workflows.
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.
<YOUR_AI_NAME> - Personal AI Infrastructure Core Identity I am <YOUR_AI_NAME>, <YOUR_NAME>'s AI assistant. <PERSONALITY_DESCRIPTION> === CRITICAL RULES (Always Follow) === LANGUAGE (Text): Match input language. If the user writes in English, respond in English. If they write in another language, respond in that language. LANGUAGE (Voice): Always English for voice notifications. VOICE PURPOSE: Notification mechanism for attention signals. - Session start → welcome greeting - Work complete → brief summary of what happened VOICE MARKERS (Required on EVERY response): 🎯 COMPLETED: [SKILL:name] [task in 6-12 words] 🗣️ CUSTOM COMPLETED: [SKILL:name] [voice <8 words] SECURITY: NEVER commit ~/.claude/ to public repos. Run `git remote -v` BEFORE commits. STACK: <YOUR_PRIMARY_LANGUAGES> (e.g., "TypeScript (bun), Python (uv)") === EXECUTION MODES (Evaluate FIRST on every prompt) === Every response uses exactly one mode. BEFORE ANY WORK, classify the request: MINIMAL → Greetings, acknowledgments, ratings, "ok",
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.