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python-packaging

Create and distribute Python packages with pyproject.toml and modern build backends.

4|Updated Jan 10, 2026
Search Tags:#python#packaging#pyproject.toml#pypi#distribution#setuptools
One-click install
npx skills add https://github.com/EngineerWithAI/engineerwith-agents --skill python-packaging-engineerwithai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-packaging
Source: https://github.com/EngineerWithAI/engineerwith-agents/tree/main/plugins/python-development/skills/python-packaging
Command: npx skills add https://github.com/EngineerWithAI/engineerwith-agents --skill python-packaging-engineerwithai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of creating, structuring, and distributing Python packages, enabling developers to share their code effectively.

Core Features & Use Cases

  • Project Structure: Guides on setting up modern Python project layouts (source, flat, multi-package).
  • Configuration: Demonstrates comprehensive pyproject.toml configurations for metadata, dependencies, build systems, and tool settings.
  • Build & Publish: Provides clear instructions and commands for building distribution files (wheels, sdists) and publishing to PyPI.
  • Use Case: You've developed a reusable Python library and need to package it correctly for distribution on PyPI, including setting up dependencies, entry points, and build configurations.

Quick Start

Use the python-packaging skill to create a minimal pyproject.toml file for a new Python package.

Frequently Asked Questions about python-packaging

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

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

To configure a Python package using pyproject.toml, define project metadata, dependencies, build systems, and tool settings following PEP 517/518/621 standards. This modern approach replaces setup.py and streamlines the packaging process.

What is the best way to build and publish Python packages to PyPI?▼

The best way to publish Python packages to PyPI is by building distribution files like wheels and sdists using build backends such as setuptools or hatchling, then uploading them using standard publishing commands.

Does this packaging guidance cover setuptools, hatchling, and poetry?▼

Yes, this packaging guidance covers setuptools, hatchling, and poetry. It provides comprehensive instructions for configuring these build backends and managing project layouts according to modern Python packaging standards.

Can I use this approach to set up CLI entry points for a Python distribution?▼

Yes, you can use this approach to set up CLI entry points for a Python distribution. The configuration process demonstrates how to define entry points within pyproject.toml to expose command-line interfaces.

How do namespace packages and C extensions work with modern Python packaging?▼

Namespace packages and C extensions work with modern Python packaging by utilizing specific project layout patterns and build backend configurations. These advanced topics are supported alongside standard distribution workflows.

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