What build backends are covered?

The skill provides guidance for popular backends including setuptools, hatchling, flit, and poetry.

How do I handle project data files?

It includes patterns for using importlib.resources to safely access non-code data files bundled within your package.

Does it support automated CI/CD for releases?

Yes, it includes templates for GitHub Actions to automate the building, checking, and publishing process to PyPI or TestPyPI.

Can I use this to build command-line tools?

Absolutely. It provides specific patterns for registering CLI entry points using libraries like Click or the standard argparse module.

Does this skill support modern Python standards?

Yes, it prioritizes PEP 517, PEP 518, and PEP 621 standards, focusing on pyproject.toml as the single source of configuration.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: HermeticOrmus

byHermeticOrmus

Despliegue y DevOps

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

Acerca de

The Python Packaging skill provides a comprehensive framework for developers looking to build professional, distributable Python libraries and CLI tools. It guides Claude through the complexities of modern Python packaging standards (PEP 517/621), offering optimized project structures, configuration templates for various build backends, and step-by-step instructions for publishing to PyPI. Whether you are setting up a simple library or a complex multi-package namespace project, this skill ensures your code follows current best practices for installation, dependency management, and automated release workflows.

Características Principales

Support for optimized project layouts including src and flat structures
0 GitHub stars
Modern pyproject.toml configuration using PEP 621 standards
Advanced packaging techniques like dynamic versioning and namespace packages
Automated publishing workflows via GitHub Actions and Twine
CLI tool development patterns with Click or argparse entry points

Casos de Uso

Building and installing custom command-line interface (CLI) utilities
Creating reusable libraries for distribution on the public PyPI index
Standardizing internal Python project structures and dependency management

Acerca de

Características Principales

Support for optimized project layouts including src and flat structures
0 GitHub stars
Modern pyproject.toml configuration using PEP 621 standards
Advanced packaging techniques like dynamic versioning and namespace packages
Automated publishing workflows via GitHub Actions and Twine
CLI tool development patterns with Click or argparse entry points

Casos de Uso

Building and installing custom command-line interface (CLI) utilities
Creating reusable libraries for distribution on the public PyPI index
Standardizing internal Python project structures and dependency management