What build backends are supported?

It provides configuration patterns for the most popular backends, including setuptools, hatchling, flit, and poetry.

How do I handle CLI entry points?

The skill provides templates for registering project.scripts in your pyproject.toml, allowing users to run your code as a global command after installation.

Does this skill support modern Python packaging standards?

Yes, it focuses on PEP 517, 518, and 621, moving away from legacy setup.py files in favor of the modern pyproject.toml standard.

Can I automate my releases to PyPI?

Absolutely. The skill includes standardized GitHub Actions workflows to build, check, and upload your package to PyPI automatically upon creating a release.

What is the benefit of the 'src' layout recommended by this skill?

The 'src' layout prevents accidental imports from the local directory and ensures that your tests are running against the actual installed version of your package.

Python Packaging Pro

Name: Python Packaging Pro
Author: pur3v4d3r

bypur3v4d3r

•

部署与 DevOps

Streamlines the creation, configuration, and distribution of standardized Python packages and CLI tools using modern PEP standards.

关于

This skill provides a comprehensive framework for turning Python code into professional-grade, distributable packages. It guides users through implementing modern standards like pyproject.toml (PEP 621), choosing build backends such as setuptools or hatchling, and organizing projects with the recommended source layout. Beyond scaffolding, the skill offers robust patterns for creating CLI entry points, managing dynamic versioning, and automating the publishing process to PyPI via GitHub Actions, ensuring your Python libraries are maintainable, installable, and production-ready.

主要功能

Advanced support for namespace packages and data file inclusion
Implementation of the 'src' layout for better package isolation and testing
Standardized pyproject.toml configuration following PEP 517/518/621
1 GitHub stars
CLI tool registration using Click or argparse entry-point patterns
Comprehensive publishing workflows for PyPI and TestPyPI

使用场景

Converting standalone scripts into installable libraries for PyPI
Automating package release cycles with GitHub Actions CI/CD
Developing and distributing robust command-line applications

关于

主要功能

Advanced support for namespace packages and data file inclusion
Implementation of the 'src' layout for better package isolation and testing
Standardized pyproject.toml configuration following PEP 517/518/621
1 GitHub stars
CLI tool registration using Click or argparse entry-point patterns
Comprehensive publishing workflows for PyPI and TestPyPI

使用场景

Converting standalone scripts into installable libraries for PyPI
Automating package release cycles with GitHub Actions CI/CD
Developing and distributing robust command-line applications