What build systems does this skill support?

The skill supports all modern PEP 517/518 compatible backends including setuptools, hatchling, flit, and poetry.

Can it help with CI/CD for releases?

Yes, it includes ready-to-use GitHub Actions configurations for building packages and automatically publishing them to PyPI upon creating a release.

Does it handle CLI tool creation?

Absolutely. It includes templates for creating command-line interfaces using both the Click framework and the standard argparse library, including script registration.

Can I use this for private package repositories?

Yes, the skill provides patterns for publishing to PyPI, TestPyPI, and private repositories like JFrog Artifactory or AWS CodeArtifact.

Why does the skill recommend the 'src' layout?

The 'src' layout is a best practice that prevents accidental imports from the local directory, ensuring your tests only run against the actual installed version of the package.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: prof-ramos

byprof-ramos

•

Despliegue y DevOps

Simplifies the creation, structuring, and publishing of distributable Python packages and libraries using modern PEP standards.

The Python Packaging skill provides comprehensive guidance for developers to build production-grade Python libraries and CLI tools. It automates the setup of standardized project structures (like the recommended 'src' layout), configures build systems via pyproject.toml, manages dependencies, and streamlines the process of publishing to PyPI or private repositories. Whether you're creating a simple utility or a complex multi-package project, this skill ensures compliance with modern packaging standards and best practices for versioning, metadata management, and distribution.

Características Principales

01Automated pyproject.toml configuration and PEP 621 metadata management

02Support for modern build backends like Setuptools, Hatchling, and Poetry

03Automated publishing workflows via GitHub Actions and Twine

041 GitHub stars

05Implementation of standardized source and flat project layouts

06Command-line interface (CLI) boilerplate with Click and argparse patterns

Casos de Uso

01Creating and publishing open-source packages to the Python Package Index (PyPI)

02Developing standalone CLI tools with automated entry points and versioning

03Converting local scripts into installable Python libraries for distribution

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add prof-ramos/.codex python-packaging

For use in Claude.ai and ChatGPT

Download Skill