How does this help with publishing to PyPI?

It provides standardized workflows for building distributions with the 'build' module and securely uploading them using Twine and API tokens.

Can I use this to create command-line tools?

Absolutely. The skill includes specific patterns for defining 'project.scripts' in your configuration to automatically create executable commands upon installation.

What is the recommended project layout for Python packages?

The 'src' layout is recommended as it prevents accidental imports from the root directory and ensures that tests are run against the actual installed version of the package.

Does this skill support modern build backends?

Yes, it covers modern PEP 517/518 compliant backends including setuptools, hatch, flit, and poetry for flexible building.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: HermeticOrmus

byHermeticOrmus

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部署与 DevOps

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

关于

This skill empowers developers to transform raw Python code into professional, distributable packages following industry-standard practices. It provides comprehensive guidance on modern packaging specifications (PEP 517, 621), project layouts (source vs. flat), and build backends like setuptools and hatch. Whether you are building a simple CLI tool or a complex library with dynamic versioning and namespace packages, this skill ensures your project follows best practices for metadata management, dependency handling, and automated publishing workflows.

主要功能

Advanced patterns for dynamic versioning and namespace packages
Modern pyproject.toml configuration following PEP 621 standards
Automated CLI entry point registration for Click and argparse
2 GitHub stars
Secure distribution workflows for PyPI and TestPyPI using Twine
Standardized project layouts for both source and flat structures

使用场景

Structuring new Python applications with robust dependency management
Converting local Python utilities into shareable, installable PyPI libraries
Implementing automated CI/CD pipelines for Python package releases

关于

主要功能

Advanced patterns for dynamic versioning and namespace packages
Modern pyproject.toml configuration following PEP 621 standards
Automated CLI entry point registration for Click and argparse
2 GitHub stars
Secure distribution workflows for PyPI and TestPyPI using Twine
Standardized project layouts for both source and flat structures

使用场景

Structuring new Python applications with robust dependency management
Converting local Python utilities into shareable, installable PyPI libraries
Implementing automated CI/CD pipelines for Python package releases