Why does this skill recommend the source layout?

The source layout is a best practice that prevents accidental imports of uninstalled code and ensures your tests run against the actual built package.

Can I use this for building command-line interfaces?

Absolutely, it provides patterns for defining entry points and console scripts to ensure your CLI tools are correctly installed and executable.

Does this skill support the modern uv package manager?

Yes, it includes specialized modules for uv workflows, including project initialization, dependency management, and lightning-fast package building.

Does it help with automated publishing?

Yes, it includes guidance for CI/CD integration, specifically focusing on GitHub Actions for automated testing and PyPI distribution.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: athola

byathola

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Deployment & DevOps

Streamlines the creation, management, and publishing of modern Python packages using industry-standard tools like uv and pyproject.toml.

About

Python Packaging provides a structured framework for building distributable libraries and CLI tools using modern standards. It guides users through critical architecture decisions—such as choosing between source and flat layouts—while automating dependency management and PyPI publishing workflows. Whether you are bootstrapping a new open-source library or setting up automated CI/CD pipelines for private code distribution, this skill ensures your Python projects are professional, reproducible, and follow the latest ecosystem best practices.

Key Features

Automated PyPI publishing and distribution patterns
Architecture guidance for source layout vs. flat layout structures
Streamlined uv workflow for high-performance dependency handling
Modern pyproject.toml configuration and management
10 GitHub stars
Standardized entry point configuration for CLI tool development

Use Cases

Creating and publishing a new open-source library to PyPI
Developing and distributing internal command-line utilities
Migrating legacy setup.py projects to modern packaging standards

About

Key Features

Automated PyPI publishing and distribution patterns
Architecture guidance for source layout vs. flat layout structures
Streamlined uv workflow for high-performance dependency handling
Modern pyproject.toml configuration and management
10 GitHub stars
Standardized entry point configuration for CLI tool development

Use Cases

Creating and publishing a new open-source library to PyPI
Developing and distributing internal command-line utilities
Migrating legacy setup.py projects to modern packaging standards