Does this skill support modern PEP 621 standards?

Yes, it prioritizes PEP 621 and PEP 517 standards by utilizing pyproject.toml for all metadata, build-system requirements, and project configurations.

Can I use this for private package repositories?

Absolutely. The skill includes patterns for configuring .pypirc and twine to work with private registries like JFrog, Artifactory, or AWS CodeArtifact.

Does it help with CLI tool development?

Yes, it provides specific implementation patterns for both Click and argparse, including the necessary entry-point registration in your project metadata.

Why use the src-layout instead of a flat layout?

The src-layout is recommended because it prevents accidental imports from the project root and ensures that your tests run against the installed package version.

Python Packaging and Distribution

Name: Python Packaging and Distribution
Author: HermeticOrmus

byHermeticOrmus

0•

Developer Tools

Streamlines the creation of distributable Python packages using modern pyproject.toml standards and automated PyPI publishing workflows.

This skill provides a comprehensive framework for structuring, building, and publishing Python libraries and CLI tools. It guides Claude through setting up modern project layouts, such as the recommended src-layout, and configuring project metadata according to PEP 517 and PEP 621 standards. Whether you are building a simple utility or a complex multi-package system, this skill ensures your code is ready for distribution on PyPI or private registries while maintaining best practices for dependency management, versioning, and environment isolation.

Key Features

01Automated CLI tool registration with Click or argparse entry points

02Secure distribution workflows for PyPI, TestPyPI, and private repositories

03Advanced implementation patterns for namespace packages and dynamic versioning

040 GitHub stars

05Modern pyproject.toml configuration compliant with PEP 517/621 standards

06Standardized project architecture templates including source and flat layouts

Use Cases

01Setting up CI/CD pipelines for automated package releases via GitHub Actions

02Migrating legacy setup.py configurations to modern pyproject.toml standards

03Converting standalone Python scripts into professional, installable libraries

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/alqvimia-contador python-packaging

For use in Claude.ai and ChatGPT

Download Skill