Can I use this skill to create Command Line Interface (CLI) tools?

Absolutely. The skill includes specific implementation patterns for both Click and argparse, including the 'project.scripts' configuration needed to make your tools runnable from the terminal.

How does this skill help with publishing to PyPI?

It provides step-by-step workflows for building distributions with the 'build' module and securely uploading them to PyPI using Twine or automated GitHub Actions.

Does this skill support modern Python packaging standards?

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

What is the recommended directory structure for a Python package?

The skill strongly recommends the 'src' layout (src/package_name/) because it prevents accidental imports from the root directory and ensures that tests run against the installed version of your package.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: Microck

byMicrock

•

Developer Tools

Architects and builds distributable Python packages using modern standards like pyproject.toml and PyPI publishing workflows.

This skill provides comprehensive guidance for creating, structuring, and distributing Python packages according to modern PEP standards. It helps developers implement the recommended 'src' layout, configure pyproject.toml with PEP 621 metadata, manage build backends like setuptools or hatchling, and automate the release process to PyPI. Whether you are building internal command-line tools or public library ecosystems, this skill ensures professional-grade project architecture, robust dependency management, and distribution readiness.

Key Features

01CLI tool development patterns using Click and argparse entry points

02Advanced architecture patterns for namespace packages and dynamic versioning

03Standardized project structures including Source and Flat layout patterns

04Modern pyproject.toml configuration using PEP 517/621 standards

0581 GitHub stars

06Automated build and PyPI/TestPyPI publishing workflows with Twine

Use Cases

01Converting local Python scripts into professional, installable libraries

02Developing and distributing cross-platform CLI tools with custom entry points

03Setting up automated CI/CD pipelines for package testing and PyPI releases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills python-packaging

For use in Claude.ai and ChatGPT

Download Skill