What is the recommended layout for Python packages in this skill?

The skill recommends the 'src' layout pattern to prevent accidental imports from the source directory and ensure cleaner testing environments.

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

Yes, it provides specific patterns for registering CLI entry points and building interfaces using popular libraries like Click or the built-in argparse module.

Does it support modern Python packaging standards?

Absolutely. The skill is built around PEP 517, 518, and 621, prioritizing pyproject.toml over legacy setup.py files.

Which build backends are covered?

It provides guidance for several popular backends including setuptools, hatchling, flit, and poetry, allowing you to choose the best fit for your project.

How does it help with publishing to PyPI?

It includes step-by-step guides for building distributions with the 'build' module and uploading them securely using Twine or automated GitHub Actions.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: HermeticOrmus

byHermeticOrmus

Despliegue y DevOps

Standardizes the creation, structuring, and distribution of Python packages using modern build tools and PyPI publishing workflows.

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This skill provides a comprehensive framework for developers to transform Python code into professional-grade distributable packages. It guides users through modern standards like PEP 621 for pyproject.toml, source layout patterns, and build backend selection including setuptools, hatchling, and poetry. By integrating best practices for metadata, dependency management, and CLI entry points, it simplifies the complex landscape of Python distribution, ensuring your projects are ready for PyPI or private repositories while maintaining clean, maintainable structures.

Características Principales

Automated publishing workflows via Twine and GitHub Actions
CLI development templates for Click and argparse integration
Modern pyproject.toml configuration using PEP 621 standards
Support for dynamic versioning and package metadata management
Source-layout and flat-layout project structure patterns
0 GitHub stars

Casos de Uso

Converting a local Python library into a distributable PyPI package
Building and registering command-line tools with custom entry points
Standardizing repository structures for internal enterprise Python tools

Acerca de

Características Principales

Automated publishing workflows via Twine and GitHub Actions
CLI development templates for Click and argparse integration
Modern pyproject.toml configuration using PEP 621 standards
Support for dynamic versioning and package metadata management
Source-layout and flat-layout project structure patterns
0 GitHub stars

Casos de Uso

Converting a local Python library into a distributable PyPI package
Building and registering command-line tools with custom entry points
Standardizing repository structures for internal enterprise Python tools