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

Deployment & DevOps

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

About

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

Standardized project structure generation (Source vs. Flat layouts)
Automated CI/CD publishing workflows with GitHub Actions
Modern pyproject.toml configuration compliant with PEP 517/518/621
0 GitHub stars
Distribution management for PyPI, TestPyPI, and private registries
CLI tool integration using Click or argparse entry point patterns

Use Cases

Converting a collection of scripts into a professional installable library
Standardizing internal company tools with consistent metadata and versioning
Creating and publishing a CLI tool to the Python Package Index (PyPI)

About

Key Features

Standardized project structure generation (Source vs. Flat layouts)
Automated CI/CD publishing workflows with GitHub Actions
Modern pyproject.toml configuration compliant with PEP 517/518/621
0 GitHub stars
Distribution management for PyPI, TestPyPI, and private registries
CLI tool integration using Click or argparse entry point patterns

Use Cases

Converting a collection of scripts into a professional installable library
Standardizing internal company tools with consistent metadata and versioning
Creating and publishing a CLI tool to the Python Package Index (PyPI)