python-packaging

Package Python libraries and CLI tools for PyPI distribution using pyproject.toml.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/adriencog/pypowens --skill python-packaging-adriencog
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-packaging
Source: https://github.com/adriencog/pypowens/tree/main/.agents/skills/python-packaging
Command: npx skills add https://github.com/adriencog/pypowens --skill python-packaging-adriencog

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Comprehensive guidance to package Python libraries and CLI tools for distribution, aligning modern tooling with PyPI publishing.

Core Features & Use Cases

  • Modern packaging practices using pyproject.toml and PEP 517/518
  • Supports source (src/) and flat project layouts
  • Build backends such as setuptools, hatchling, poetry, and flit
  • Inclusion of package data, licenses, classifiers, and entry points
  • Publishing to PyPI or private repositories

Quick Start

Install in editable mode and publish your Python package to PyPI using a minimal, reproducible workflow.

Frequently Asked Questions about python-packaging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I package a Python library using pyproject.toml?

To package a Python library, configure pyproject.toml according to PEP 517/518 standards. This Skill guides you through defining build backends and metadata to prepare your project for distribution.

Can I publish a Python CLI tool to PyPI from a src/ layout?

Yes, you can publish a Python CLI tool to PyPI from a src/ layout. The Skill supports both src/ and flat layouts, configuring entry points and package data for PyPI distribution.

Does this packaging workflow support multiple build backends like hatchling and flit?

Yes, the workflow supports multiple build backends including setuptools, hatchling, poetry, and flit. It aligns modern tooling with PyPI publishing across these different setups.

What's the best way to include package data and entry points in a Python distribution?

The best way to include package data and entry points is by configuring them within pyproject.toml. This Skill ensures licenses, classifiers, and data files are correctly bundled for distribution.

How does PEP 517/518 affect Python package distribution to private indexes?

PEP 517/518 standardizes the build process, allowing you to reliably distribute Python packages to PyPI or private indexes. This Skill uses these standards to streamline publishing workflows.