What project layouts are recommended?

The skill primarily recommends the 'src' layout for better code isolation and cleaner testing, but it also supports traditional flat layouts for simpler projects.

Does this skill support modern PEP standards?

Yes, it focuses on PEP 517, 518, and 621 for standardized pyproject.toml configuration and build-backend requirements.

Can I automate my package releases?

Yes, it includes configuration patterns for GitHub Actions to automate the building, checking, and publishing of your packages to PyPI.

Does it help with publishing to PyPI?

Yes, it includes detailed workflows for using Twine to upload distributions to both TestPyPI and the production Python Package Index safely.

Can I use this to build command-line tools?

Absolutely. It provides specific patterns for creating CLI entry points using modern libraries like Click as well as the standard argparse module.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: sla-te

bysla-te

0•

开发者工具

Automates the creation of production-ready Python packages using modern standards like pyproject.toml and PyPI publishing workflows.

The Python Packaging skill provides Claude with the specialized knowledge to structure, configure, and distribute Python libraries and CLI tools according to modern industry standards. It guides users through implementing PEP 621 metadata, selecting the right build backends like setuptools or Hatchling, and setting up automated CI/CD pipelines for PyPI or private repository releases. Whether you are building a simple utility or a complex namespace package, this skill ensures your project follows best practices for dependency management, versioning, and distribution.

主要功能

010 GitHub stars

02Streamlined PyPI and TestPyPI publishing workflows using Twine and API tokens

03Advanced project structuring including source layouts and namespace packages

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

05Automated CLI tool creation with entry points using Click or argparse

06Support for multiple build backends including setuptools, Hatchling, Flit, and Poetry

使用场景

01Converting a local script into a distributable Python library for PyPI

02Setting up GitHub Actions for automated package builds and releases

03Standardizing project metadata and dependency management for cross-team collaboration

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sla-te/copilot-converter python-packaging

For use in Claude.ai and ChatGPT

Download Skill