python-packaging

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

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/Himanshu040604/codex-skills-setup --skill python-packaging-himanshu040604
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-packaging
Source: https://github.com/Himanshu040604/codex-skills-setup/tree/main/assets/codex/skills/claude-import/skills/plugins/python-development%40claude-code-workflows/skills/python-packaging
Command: npx skills add https://github.com/Himanshu040604/codex-skills-setup --skill python-packaging-himanshu040604

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, making it easier to share your code with others.

Core Features & Use Cases

  • Package Structure: Provides guidance on organizing your Python project for distribution.
  • Modern Packaging: Leverages pyproject.toml for configuration using tools like setuptools, hatchling, flit, or poetry.
  • Distribution: Covers building wheels and source distributions and publishing to PyPI.
  • Use Case: You've developed a useful Python library and want to make it easily installable for other developers via PyPI.

Quick Start

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

To create a pyproject.toml for Python packaging, you define project metadata, dependencies, and build backend configurations. This Skill provides guidance on generating minimal configurations using modern standards like setuptools, hatchling, flit, or poetry.

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

Publishing Python packages to PyPI involves building distribution formats like wheels and sdists, then uploading them. This Skill facilitates the complete distribution process, covering requirements for package metadata and publishing steps.

Does Python packaging support advanced patterns like namespace packages and C extensions?

Yes, modern Python packaging supports advanced patterns like namespace packages and C extensions. This Skill addresses these specific configurations alongside standard requirements for entry points and dependency management.

Can I use different build backends like hatchling or poetry for Python distribution?

Yes, you can use build backends like hatchling, flit, poetry, or setuptools for Python distribution. This Skill covers configuring these various backends within your pyproject.toml to structure and build your project.

Why do I need both wheel and sdist formats when distributing Python packages?

Wheel and sdist are the primary distribution formats for Python packaging, serving different installation scenarios. This Skill covers building both formats to ensure your package is easily installable by other developers via PyPI.

How do I configure entry points and dependencies in pyproject.toml?

Configuring entry points and dependencies in pyproject.toml requires defining specific metadata fields within your chosen build backend. This Skill addresses these requirements to ensure your Python package exposes executables and manages library dependencies correctly.