python-packaging

Overview

python-packaging is a practical skill for backend developers, Python library authors, and CLI tool creators who need to build, structure, and distribute Python packages. It covers modern packaging standards, project setup, dependency management, and publishing workflows using tools like pyproject.toml, setuptools, and more. This skill is ideal for anyone looking to share Python code as installable packages, whether for open source, internal use, or PyPI distribution.

Who Should Use python-packaging?

• Python developers creating reusable libraries or SDKs
• Teams building command-line tools with entry points
• Anyone publishing packages to PyPI or private repositories
• Projects needing robust versioning and dependency management

Problems Solved

• Standardizes Python project structure for maintainability
• Simplifies building wheels and source distributions
• Enables publishing packages with correct metadata and classifiers
• Supports modern build backends and editable installs

How to Use

Installation Steps

1. Add the skill to your agent with:
   npx skills add https://github.com/wshobson/agents --skill python-packaging
2. Start by reading SKILL.md for a comprehensive workflow overview.
3. Review references/advanced-patterns.md for advanced topics like including data files, namespace packages, and version management.

Project Setup Guidance

• Use the recommended src/your_package/ layout for source code.
• Define project metadata in pyproject.toml for modern builds.
• Choose a build backend (setuptools, hatchling, flit, or poetry) based on your project needs.
• Add entry points for CLI tools if required.

Building and Publishing

• Build distributions with your chosen backend (e.g., python -m build).
• Test installations locally before publishing.
• Publish to PyPI or your private repository using tools like twine.

Where to Find More Details

• Check the references/ folder for advanced patterns and real-world examples.
• Review README.md, AGENTS.md, and metadata.json for supporting context.

FAQ

What is python-packaging best for?

Use python-packaging when you need to create, structure, and distribute Python libraries, CLI tools, or any reusable Python code. It is especially useful for projects targeting PyPI or requiring robust dependency and version management.

Does this skill support modern Python packaging standards?

Yes. python-packaging covers PEP 517/518 (build system requirements), PEP 621 (metadata in pyproject.toml), and PEP 660 (editable installs), ensuring compatibility with current Python packaging practices.

Which build backends are supported?

The skill provides guidance for setuptools, hatchling, flit, and poetry, letting you choose the best tool for your workflow.

Where can I find advanced packaging patterns?

See references/advanced-patterns.md for topics like including data files, namespace packages, and version automation.

How do I explore all available resources?

Open the Files tab to browse the full file tree, including nested references and helper scripts for deeper learning.