Can I use this for private package repositories?

Absolutely. The skill includes implementation patterns for publishing to private registries like JFrog, AWS CodeArtifact, or local pypi-servers using Twine.

Does this skill support the modern pyproject.toml format?

Yes, it prioritizes PEP 621 standards for project metadata and PEP 517/518 for build-system requirements, moving away from legacy setup.py files.

How does it handle package versioning?

It supports multiple versioning strategies, including manual versioning in pyproject.toml and dynamic versioning through tools like setuptools-scm based on Git tags.

Does it help with creating command-line tools?

Yes, it provides specific patterns for implementing entry points and creating robust command-line interfaces using libraries like Click or the built-in argparse module.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: GaitanS

byGaitanS

Developer Tools

Streamlines the creation of distributable Python packages using modern pyproject.toml standards and PyPI publishing workflows.

About

The Python Packaging skill empowers developers to transform raw Python code into professional, production-ready libraries and command-line tools. It provides expert guidance on modern packaging standards including PEP 517 and PEP 621, ensuring projects are correctly structured with source layouts and robust metadata. By automating the configuration of pyproject.toml, managing dependencies, and providing templates for automated publishing via GitHub Actions, this skill helps developers navigate the complexities of the Python ecosystem—from versioning and namespace packages to publishing on PyPI or private registries.

Key Features

0 GitHub stars
Automated CI/CD templates for GitHub Actions publishing
Standardized pyproject.toml generation following PEP 621
CLI tool development with Click and argparse entry points
Source and flat layout project structure optimization
Comprehensive PyPI and TestPyPI distribution workflows

Use Cases

Building and registering cross-platform command-line interfaces
Converting local scripts into installable libraries with dependencies
Configuring advanced metadata, classifiers, and data file inclusion

About

Key Features

0 GitHub stars
Automated CI/CD templates for GitHub Actions publishing
Standardized pyproject.toml generation following PEP 621
CLI tool development with Click and argparse entry points
Source and flat layout project structure optimization
Comprehensive PyPI and TestPyPI distribution workflows

Use Cases

Building and registering cross-platform command-line interfaces
Converting local scripts into installable libraries with dependencies
Configuring advanced metadata, classifiers, and data file inclusion