Can I use this for private package repositories?

Absolutely, it provides configuration patterns for publishing to private repositories like AWS CodeArtifact, JFrog, or private GitLab registries.

Does this skill support modern PEP standards?

Yes, it prioritizes modern standards like PEP 517, PEP 518, and PEP 621 for pyproject.toml configuration.

Does it help with CLI tool creation?

Yes, it includes specific patterns for registering scripts using Click or argparse via entry points in your project configuration.

Is there support for GitHub Actions?

Yes, it includes pre-configured YAML workflows for automated building, checking, and publishing to PyPI upon release creation.

How does it handle package versioning?

It supports both manual versioning in metadata and dynamic versioning patterns using tools like setuptools-scm for git-based versioning.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: HermeticOrmus

byHermeticOrmus

0•

개발자 도구

Automates the creation, structuring, and distribution of professional Python packages using modern pyproject.toml standards and PyPI workflows.

This skill provides a comprehensive framework for developing distributable Python software using modern standards like PEP 621 and pyproject.toml. It streamlines the entire packaging lifecycle, from setting up recommended source layouts and managing dependencies to configuring build backends like setuptools, hatchling, or flit. Whether you're building CLI tools with entry points, implementing complex namespace packages, or setting up automated GitHub Actions for publishing, this skill ensures your projects follow industry best practices for versioning, metadata, and secure distribution.

주요 기능

01Local build and distribution testing using build and twine

02CLI development support with Click and argparse entry point patterns

030 GitHub stars

04Comprehensive pyproject.toml configuration for metadata and dependencies

05Automated CI/CD workflows for publishing to PyPI and TestPyPI

06Standardized project scaffolding using src-layout and flat-layout patterns

사용 사례

01Converting local utility scripts into installable, production-ready CLI tools

02Structuring complex internal monorepos with multi-package and namespace support

03Publishing open-source libraries to the Python Package Index (PyPI)

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/floreserlife python-packaging

For use in Claude.ai and ChatGPT

Download Skill