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

The 'src' layout prevents accidental imports of the local code directory, ensuring that tests run against the installed version of the package, which mirrors the end-user experience.

Does this skill support modern PEP 621 standards?

Yes, it prioritizes PEP 621 and pyproject.toml as the single source of truth for metadata management and build system requirements.

Does it help with creating command-line tools?

Yes, it provides specific patterns for registering entry-point scripts and building robust CLIs using libraries like Click or the standard argparse module.

Can I use this for private package repositories?

Absolutely. It includes patterns for configuring public PyPI as well as private repositories like AWS CodeArtifact, JFrog Artifactory, or GitLab Package Registry.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: Activer007

byActiver007

0•

デプロイメントとDevOps

Streamlines the creation, configuration, and distribution of professional Python packages using modern PEP standards and pyproject.toml.

This skill provides a comprehensive framework for structuring Python projects according to modern industry standards such as PEP 517, 518, and 621. It guides developers through the complexities of creating robust pyproject.toml configurations, implementing professional source layouts, and building command-line interfaces with tools like Click or argparse. By automating the boilerplate for build backends like setuptools or hatchling, it simplifies the entire release lifecycle—from local development and editable installs to building wheels and publishing directly to PyPI or private repositories via GitHub Actions.

主な機能

010 GitHub stars

02Automated CLI entry point and script registration

03Modern source-layout architecture for better package isolation

04Standardized pyproject.toml generation with PEP 621 metadata

05Comprehensive distribution building for Wheels and Source Distributions

06CI/CD integration patterns for automated PyPI publishing

ユースケース

01Preparing internal libraries for distribution on private package repositories

02Converting local utility scripts into globally installable CLI tools

03Migrating legacy setup.py projects to modern build-system standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills python-packaging

For use in Claude.ai and ChatGPT

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