Does it help with creating command-line interfaces?

Yes, it provides specific implementation patterns for registering CLI entry points using both the Click library and the built-in argparse module.

Does this skill support modern PEP 621 standards?

Yes, it prioritizes PEP 621 for metadata configuration within pyproject.toml, ensuring compatibility with modern build backends like setuptools, hatchling, and flit.

Can I use this for private package repositories?

Absolutely. The skill includes patterns for configuring .pypirc and environment variables to publish to private registries like JFrog or AWS CodeArtifact.

How does it handle versioning?

It covers both static versioning in configuration files and dynamic versioning patterns using tools like setuptools-scm for Git-based version management.

Is the 'src' layout supported?

Yes, the skill strongly recommends and provides templates for the 'src' layout to prevent accidental imports and ensure a more professional testing environment.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: nguyendinhquocx

bynguyendinhquocx

Developer Tools

Streamlines the creation of professional, distributable Python packages using modern standards like pyproject.toml and PyPI integration.

About

This skill provides a comprehensive framework for structuring, configuring, and publishing Python libraries and CLI tools. It guides developers through modern packaging standards (PEP 517, 518, and 621), offering optimized patterns for source layouts, dependency management, and automated release workflows. Whether you are building a simple utility or a complex multi-package project, this skill ensures your Python code is installable, maintainable, and ready for distribution on PyPI or private repositories.

Key Features

0 GitHub stars
Automated pyproject.toml configuration for modern build backends like setuptools and hatchling
Standardized project structure using recommended source and flat layouts
CLI tool development patterns with Click and argparse entry points
Advanced packaging support for namespace packages and dynamic versioning
Seamless publishing workflows for PyPI, TestPyPI, and private registries

Use Cases

Setting up a professional CLI tool with automated installation hooks
Converting a local Python script into a distributable library on PyPI
Standardizing internal package structures for enterprise development teams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nguyendinhquocx/code-ai python-packaging

For use in Claude.ai and ChatGPT

Download Skill

GitHub