Does this skill support the latest Python packaging standards?

Yes, it focuses on modern standards including PEP 517, PEP 518, and PEP 621, prioritizing pyproject.toml over legacy setup.py files.

Does it help with automated releases?

Yes, the skill provides ready-to-use GitHub Action templates for building, checking, and publishing packages to PyPI automatically upon creating a release.

What is the benefit of the recommended 'src' layout?

The src layout prevents accidental imports of the package from the current working directory, ensuring your tests run against the installed version and improving project isolation.

Can I use this to create command-line interfaces?

Absolutely. It includes specific patterns for building CLIs using Click or argparse and registering them as executable commands in the user's environment.

Python Packaging Specialist

Name: Python Packaging Specialist
Author: EricGrill

byEricGrill

•

Deployment & DevOps

Streamlines the creation of professional, distributable Python packages using modern standards like pyproject.toml and PyPI distribution workflows.

About

The Python Packaging skill provides comprehensive guidance for developers looking to transform Python code into reusable libraries or command-line tools. It automates the setup of standardized project structures, including the recommended src layout, and manages complex metadata configurations within pyproject.toml. By following PEP standards for build systems and dependency management, this skill ensures that your projects are compatible with modern installers, easy to maintain, and ready for publication to PyPI or private repositories using automated CI/CD patterns.

Key Features

2 GitHub stars
Standardized project structure generation (Source vs. Flat layouts)
Advanced patterns for namespace packages, data files, and dynamic versioning
CLI tool registration via entry points and scripts
Modern pyproject.toml configuration for PEP 517/518/621
Automated build and distribution workflows for PyPI and TestPyPI

Use Cases

Building and distributing cross-platform CLI tools with Click or argparse
Setting up automated GitHub Actions for package testing and deployment
Converting a local Python module into a professional, installable library

About

Key Features

2 GitHub stars
Standardized project structure generation (Source vs. Flat layouts)
Advanced patterns for namespace packages, data files, and dynamic versioning
CLI tool registration via entry points and scripts
Modern pyproject.toml configuration for PEP 517/518/621
Automated build and distribution workflows for PyPI and TestPyPI

Use Cases

Building and distributing cross-platform CLI tools with Click or argparse
Setting up automated GitHub Actions for package testing and deployment
Converting a local Python module into a professional, installable library