What build backends are supported?

It covers a variety of popular backends including setuptools, hatchling, flit, and poetry, providing the configuration syntax for whichever tool best suits your project's needs.

How do I publish my package to PyPI using this skill?

The skill provides step-by-step instructions for building wheels and source distributions using the 'build' module and uploading them securely via 'twine' or automated GitHub Actions.

Can I use this skill to create command-line tools?

Yes, the skill includes specific patterns and entry-point configurations for creating professional command-line interfaces using libraries like Click or the built-in argparse module.

Does this support modern PEP standards?

Absolutely. It focuses on modern standards like PEP 517, 518, and 621, prioritizing pyproject.toml as the single source of truth for configuration over legacy setup.py files.

What is the recommended layout for a Python package?

The source layout (src/package_name/) is generally recommended as it prevents accidental imports from the root directory, ensures cleaner testing environments, and follows modern best practices.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: gwickman

bygwickman

0•

배포 및 DevOps

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

The Python Packaging skill provides a comprehensive framework for building distributable Python libraries and CLI tools. It guides developers through implementing modern standards such as PEP 517 and PEP 621, choosing between source and flat layouts, configuring build backends like setuptools or hatchling, and automating the publishing process to PyPI. Whether you are creating a simple utility or a complex multi-package project, this skill ensures your code is properly versioned, dependency-managed, and ready for production-grade installation.

주요 기능

01Automated build and publishing workflows for PyPI, TestPyPI, and GitHub Actions

02Modern pyproject.toml configuration and PEP 621 metadata management

03Standardized project structures including recommended Source layout patterns

04Advanced package management for data files, type hints, and namespace packages

050 GitHub stars

06CLI development patterns using Click and argparse with entry point registration

사용 사례

01Converting local Python modules into installable, distributable libraries for team sharing

02Establishing automated CI/CD pipelines for package versioning and repository releases

03Building and distributing standalone CLI tools with custom commands and entry points

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gwickman/auto-dev-test-target-1 python-packaging

For use in Claude.ai and ChatGPT

Download Skill