Does this skill support modern Python standards?

Yes, it focuses on modern standards including PEP 621 for metadata in pyproject.toml and PEP 517/518 for build system requirements, moving away from legacy setup.py files.

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

The source layout prevents accidental imports of the package from the current working directory, ensuring your tests run against the installed version and maintaining a cleaner project root.

How do I automate the publishing process?

The skill includes templates for GitHub Actions that automatically build and upload your package to PyPI whenever a new release is created in your repository.

Can I use this to create command-line interfaces?

Absolutely. It provides specific patterns for registering scripts in pyproject.toml and implementing them using libraries like Click or the native argparse module.

Python Packaging Pro

Name: Python Packaging Pro
Author: HermeticOrmus

byHermeticOrmus

0•

Deployment & DevOps

Streamlines the creation, structuring, and distribution of professional Python packages using modern PEP standards.

This skill empowers developers to build production-grade Python distributions by providing standardized templates and best practices for project structuring, dependency management, and publishing. It guides users through creating pyproject.toml files, implementing CLI tools via entry points, and automating releases to PyPI or private repositories. Whether you are building a small utility or a complex library, this skill ensures compliance with modern standards like PEP 517 and 621, simplifying the transition from local code to a shareable, installable package.

Key Features

01Standardized project structure generation (Source vs. Flat layouts)

02Automated CI/CD publishing workflows with GitHub Actions

03Modern pyproject.toml configuration compliant with PEP 517/518/621

040 GitHub stars

05Distribution management for PyPI, TestPyPI, and private registries

06CLI tool integration using Click or argparse entry point patterns

Use Cases

01Converting a collection of scripts into a professional installable library

02Standardizing internal company tools with consistent metadata and versioning

03Creating and publishing a CLI tool to the Python Package Index (PyPI)

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/floraheritage python-packaging

For use in Claude.ai and ChatGPT

Download Skill