Does this skill support modern PEP standards?

Yes, it fully supports PEP 517, 518, 621, and 660 for modern Python builds and metadata management.

Can I create CLI tools with this skill?

Absolutely. It provides patterns for registering entry points and creating command-line interfaces using both Click and argparse.

What project structures does it support?

It supports the recommended src-layout for better isolation, traditional flat-layouts, and complex multi-package monorepo structures.

Can I use it with build backends other than setuptools?

While it provides robust setuptools patterns, it also covers modern backends like hatchling, flit, and poetry.

Does it help with publishing to PyPI?

Yes, it includes detailed guidance on using Twine for manual uploads and setting up GitHub Actions for automated CI/CD releases.

Python Packaging Assistant

Name: Python Packaging Assistant
Author: HermeticOrmus

byHermeticOrmus

Herramientas para Desarrolladores

Generates standardized, production-ready Python project structures and distribution configurations using modern PEP standards.

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The Python Packaging skill provides Claude with expert knowledge for creating distributable libraries, CLI tools, and internal packages. It automates the complex task of setting up pyproject.toml files, choosing between source and flat layouts, managing dependencies, and configuring build backends like setuptools or Hatch. Whether you are publishing to PyPI for the first time or setting up an automated CI/CD pipeline for package releases, this skill ensures your Python projects follow current best practices and PEP standards to maintain professional-grade distribution compatibility.

Características Principales

Automated GitHub Actions workflows for PyPI publishing
Advanced configuration for dynamic versioning and data file inclusion
Multi-pattern project layouts including Source and Flat structures
0 GitHub stars
Standardized pyproject.toml generation following PEP 621
Command-line interface (CLI) integration for Click and argparse

Casos de Uso

Converting a single Python script into a distributable library
Building and registering professional CLI tools with entry points
Migrating legacy setup.py configurations to modern pyproject.toml standards

Acerca de

Características Principales

Automated GitHub Actions workflows for PyPI publishing
Advanced configuration for dynamic versioning and data file inclusion
Multi-pattern project layouts including Source and Flat structures
0 GitHub stars
Standardized pyproject.toml generation following PEP 621
Command-line interface (CLI) integration for Click and argparse

Casos de Uso

Converting a single Python script into a distributable library
Building and registering professional CLI tools with entry points
Migrating legacy setup.py configurations to modern pyproject.toml standards