# Py Packaging Pro

> Modern standards for professional Python project configuration, dependency management, and distribution.

- Skill: `jcorpac/py-packaging-pro` (Agent Skill)
- Install (CLI): `npx skillmds@latest add jcorpac/py-packaging-pro`
- Raw SKILL.md: https://api.skillmd.com/api/skills/jcorpac/py-packaging-pro/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: jcorpac (https://skillmd.com/u/jcorpac)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/jcorpac/py-packaging-pro

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# Python Packaging Pro

Modern Python packaging revolves around `pyproject.toml`. This skill ensures your projects are reproducible and ready for distribution.

## The Modern Stack
- **Build System**: Use `poetry` or `uv` for dependency management.
- **Metadata**: Configure everything in `pyproject.toml`.
- **Environment**: Use strictly pinned lock files (`poetry.lock`).

## Project Structure
```text
project/
├── pyproject.toml
├── README.md
├── src/
│   └── project_name/
├── tests/
└── .github/workflows/  # CI/CD for testing and publishing
```

## Best Practices
- **Explicit Dependencies**: Separate `main` and `dev` dependencies.
- **Type Checking**: Include `mypy` in your CI pipeline.
- **versioning**: Follow Semantic Versioning (SemVer).