Why is the 'src' layout recommended by this skill?

The 'src' layout is recommended because it prevents accidental imports from the project root and ensures tests run against the installed package.

Can I use this skill to publish to private repositories?

Absolutely. It provides configurations for PyPI, TestPyPI, and private indices like JFrog or AWS CodeArtifact.

Does this skill support the latest Python packaging standards?

Yes, it focuses on modern standards including PEP 517, 518, and 621 for metadata and build system requirements.

What CLI frameworks are supported for entry points?

The skill provides specific implementation patterns for both the Click library and the standard argparse module.

Does it support automated versioning?

Yes, it includes patterns for dynamic versioning using tools like setuptools-scm based on Git tags.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: yusoofsh

byyusoofsh

0•

Developer Tools

Builds professional, distributable Python packages using modern pyproject.toml standards and automated publishing workflows.

This skill provides a comprehensive framework for creating, structuring, and distributing Python packages according to modern industry standards like PEP 621 and PEP 517. It assists developers in choosing between source and flat layouts, configuring build backends such as setuptools or Hatchling, and managing project metadata within a single pyproject.toml file. Whether you are building internal libraries, public PyPI packages, or complex CLI tools, this skill ensures your project follows best practices for versioning, dependency management, and automated CI/CD distribution.

Key Features

01Generates standardized pyproject.toml configurations following PEP 621

02Provides templates for CLI entry points using Click and argparse

030 GitHub stars

04Implements recommended 'src' layouts for better package isolation

05Supports modern build backends including setuptools, Hatchling, and Flit

06Configures automated PyPI publishing workflows via GitHub Actions and Twine

Use Cases

01Converting local utility scripts into installable, professional Python libraries

02Creating distributable command-line tools with automatic shell registration

03Standardizing Python project structures for team-wide consistency and scalability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yusoofsh/dotfiles python-packaging

For use in Claude.ai and ChatGPT

Download Skill