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python-packaging

Guide Python packaging workflows for building and publishing libraries.

2|2|Updated Jan 21, 2026
Search Tags:#python#cli#packaging#pypi#setuptools#pyproject#wheel
One-click install
npx skills add https://github.com/NorkzYT/claude-code-autopilot --skill python-packaging-norkzyt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-packaging
Source: https://github.com/NorkzYT/claude-code-autopilot/tree/main/.claude/skills/python-packaging
Command: npx skills add https://github.com/NorkzYT/claude-code-autopilot --skill python-packaging-norkzyt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps Python developers package and distribute libraries and CLI tools, ensuring clean project structure, compliant metadata, and reproducible builds across environments.

Core Features & Use Cases

  • Modern packaging with pyproject.toml and PEP 517/518 support for building wheels and source distributions.
  • Guidance on project layout options (src/ vs flat) and distribution to PyPI or private repositories.
  • Versioning, classifiers, and data inclusion patterns to ensure robust packaging workflows, including publishing to PyPI.

Quick Start

Create a minimal packaging setup by adding a pyproject.toml, organizing source under src/, and building artifacts with python -m build, then uploading with twine.

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 and PEP 517?▼

Package a Python library by defining build backend and metadata inside pyproject.toml, organizing source code, and building reproducible wheel and sdist artifacts following PEP 517/518 standards.

What is the best way to publish a Python package to PyPI?▼

Publish a Python package to PyPI by building distribution artifacts with python -m build, then securely uploading them using twine to the public PyPI repository or a private index.

Does modern Python packaging require setuptools or can I use other PEP 517 backends?▼

Modern Python packaging does not strictly require setuptools; you can use any build backend compliant with PEP 517/518 if properly declared in your pyproject.toml file to generate wheels and source distributions.

How do I structure a Python CLI tool for distribution with a wheel?▼

Structure a Python CLI tool for wheel distribution by configuring project layout and entry points in pyproject.toml, ensuring the command-line interface is correctly mapped and packaged for environment installation.

When should I use a src layout versus a flat layout for Python packaging?▼

Use a src layout versus a flat layout for Python packaging when you need to prevent import errors during testing and ensure clean distribution builds, with both patterns supported by pyproject.toml configurations.

Can I deploy Python packages to a private index instead of PyPI?▼

You can deploy Python packages to a private index instead of PyPI by configuring twine upload targets, allowing you to securely distribute wheels and sdists across internal organizational repositories.

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