Can I use this to create command-line interfaces?

Absolutely. The skill includes specific patterns for creating robust CLIs using both the Click library and the standard argparse module, including entry point registration.

Does this skill support modern build backends?

Yes, it provides patterns for various backends including setuptools, hatchling, flit, and poetry, all adhering to PEP 517/518 standards.

How does it handle package publishing?

It provides comprehensive guides for building wheels and source distributions locally, testing on TestPyPI, and automating the final release to PyPI via GitHub Actions.

What is the recommended Python project layout in this skill?

The skill recommends the 'src' layout, which places source code in a dedicated subdirectory to prevent accidental imports and ensure tests run against the installed package.

Python Packaging Expert

Name: Python Packaging Expert
Author: Microck

byMicrock

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Deployment & DevOps

Streamlines the creation, structuring, and distribution of professional Python packages using modern PEP standards and pyproject.toml.

About

This skill empowers Claude to architect production-ready Python projects by implementing industry-standard packaging patterns and modern distribution workflows. It provides comprehensive guidance on PEP 621 metadata configuration, optimal directory layouts (such as the 'src' layout), and dependency management across various build backends like setuptools, hatchling, and poetry. Whether you are building a simple library, a complex CLI tool with Click, or managing distributed namespace packages, this skill ensures your Python code is professional, installable, and follows the latest ecosystem best practices for publishing to PyPI.

Key Features

Automated publishing workflows using GitHub Actions and Twine
81 GitHub stars
Implementation of 'src' and flat directory layouts for package isolation
Standardized pyproject.toml configuration following PEP 517/518/621
Advanced patterns for namespace packages and dynamic versioning
CLI tool scaffolding with Click and argparse entry points

Use Cases

Converting a local script collection into a distributable PyPI library
Building and packaging command-line utilities with custom entry points
Standardizing project metadata and development tool configurations

About

Key Features

Automated publishing workflows using GitHub Actions and Twine
81 GitHub stars
Implementation of 'src' and flat directory layouts for package isolation
Standardized pyproject.toml configuration following PEP 517/518/621
Advanced patterns for namespace packages and dynamic versioning
CLI tool scaffolding with Click and argparse entry points

Use Cases

Converting a local script collection into a distributable PyPI library
Building and packaging command-line utilities with custom entry points
Standardizing project metadata and development tool configurations