What packaging standards does this skill support?

It follows modern standards including PEP 517, 518, 621, and 660, primarily utilizing pyproject.toml for configuration over the legacy setup.py approach.

Does it handle project dependencies?

It helps define project dependencies, optional development dependencies (like pytest or ruff), and build-system requirements in a standardized, declarative format.

Does it facilitate publishing to PyPI?

Absolutely. It provides workflows for building distributions with the 'build' module and publishing to PyPI or TestPyPI using 'twine' or automated GitHub Actions.

Is the 'src' layout supported?

Yes, the skill recommends and provides templates for the 'src' layout, which is a best practice to prevent accidental imports and ensure cleaner test isolation.

Can I use this for building command-line tools?

Yes, it includes specific patterns and configuration templates for creating CLI tools using Click or argparse, including automated entry point registration.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: wshobson

bywshobson

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23,194

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Deployment & DevOps

Automates the creation of distributable Python packages using modern PEP standards, pyproject.toml configuration, and PyPI publishing workflows.

This skill provides a comprehensive framework for structuring, configuring, and publishing Python packages according to the latest industry standards. It streamlines the transition from local code to professional libraries by implementing PEP 621 metadata, configuring build backends like setuptools or Hatch, and setting up automated CI/CD pipelines. Whether building CLI tools with entry points, managing complex dependencies, or implementing namespace packages, this skill ensures consistent project layouts and robust distribution patterns for the Python Package Index (PyPI) and private repositories.

Key Features

01Automated CLI tool registration using Click or argparse entry points

02Distribution build workflows for wheels and source distributions using build and twine

03Standardized pyproject.toml configuration following PEP 517/518/621 standards

0423,194 GitHub stars

05Source and flat layout patterns for optimized package architecture and testing

06GitHub Actions integration for automated publishing to PyPI and TestPyPI

Use Cases

01Converting local Python utility scripts into professional, installable CLI tools

02Preparing internal libraries for distribution on private package repositories like AWS CodeArtifact

03Migrating legacy setup.py configurations to modern, declarative pyproject.toml standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add wshobson/agents python-packaging

For use in Claude.ai and ChatGPT

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