Python Packaging
CautionStructure Python packages for distribution with proper pyproject.toml, versioning, CI publishing, and PyPI release workflows.
Install
Claude Code
claude install python-packaging About This Skill
Overview
Python Packaging handles the entire lifecycle of creating and distributing Python packages. From initial project structure to PyPI release, this skill ensures your package follows modern Python packaging standards.
Key Features
- Project Structure: Creates a well-organized package layout with src/ structure, proper __init__.py files, and separation of source, tests, and documentation.
- pyproject.toml Configuration: Generates complete pyproject.toml with build system, project metadata, optional dependencies, entry points, and tool configurations (pytest, ruff, mypy).
- Version Management: Supports dynamic versioning with setuptools-scm or manual versioning with bump scripts. Follows semantic versioning conventions.
- Publishing Pipeline: Creates GitHub Actions workflows for test, build, and publish cycles. Supports TestPyPI for staging and PyPI for production releases with trusted publishing (OIDC).
Build Backend Support
Configures your choice of build backend: setuptools for traditional projects, hatchling for modern conventions, flit for simple pure-Python packages, or maturin for Rust extensions.
Distribution Formats
Generates both wheel and sdist distributions. Handles platform-specific wheels for packages with C extensions. Supports PEP 561 type stubs for typed packages.
Use Cases
- Set up pyproject.toml with proper metadata and dependencies
- Configure build backends (setuptools, hatchling, or flit)
- Create GitHub Actions workflow for automated PyPI publishing
- Implement semantic versioning with automatic changelog generation
Pros & Cons
Pros
- + Follows the latest Python packaging standards (PEP 621, PEP 517)
- + Trusted publishing setup eliminates the need for stored API tokens
- + Supports all major build backends with idiomatic configurations
Cons
- - Complex native extensions may require manual maturin/setuptools configuration
- - Monorepo Python packages need additional workspace tooling not covered
Related AI Tools
Claude
Freemium
Anthropic's AI assistant built for thoughtful analysis and safe, nuanced conversations
- 200K token context window for massive document processing
- Artifacts — interactive side-panel for code, docs, and visualizations
- Projects with persistent context and custom instructions
Cursor
Freemium
AI-native code editor with deep multi-model integration and agentic coding
- AI-native Cmd+K inline editing and generation
- Composer Agent for autonomous multi-file changes
- Full codebase indexing and context awareness
GitHub Copilot
Freemium
AI pair programmer that suggests code in real time across your IDE
- Real-time code completions across 30+ languages
- Copilot Chat for natural language code Q&A
- Pull request description and summary generation
Aider
Open Source
Open-source AI pair programming CLI with git-aware multi-file editing
- Git-aware automatic commits with descriptive messages
- Multi-model support (OpenAI, Anthropic, Google, Ollama)
- Architect/editor dual-model pattern for optimized results
Related Skills
CI/CD Pipeline Builder
CautionConfigure CI/CD pipelines for GitHub Actions, GitLab CI, and other platforms with testing, building, and deployment stages.
Test Coverage Analyzer
CautionAnalyze test coverage gaps, generate missing test cases, and improve test quality with mutation testing insights.
Code Documentation Generator
VerifiedAuto-generate comprehensive documentation from code including JSDoc, docstrings, README files, and API references.
Stay Updated on Agent Skills
Get weekly curated skills + safety alerts
每周精选 Skills + 安全预警