Does it help with creating command-line interfaces?

Yes, it includes specific instructions for implementing entry points to make your Python scripts executable via the terminal after installation.

How does it handle versioning?

The skill follows best practices for semantic versioning and metadata management within the project configuration files.

Can I use this for publishing to private repositories?

Yes, the skill provides guidance for both public PyPI distribution and internal/private repository publishing workflows.

What packaging tools does this skill support?

This skill focuses on modern PEP 517/518 standards, primarily using pyproject.toml, which is compatible with tools like setuptools, Hatch, Flit, and PDM.

Python Packaging

Name: Python Packaging
Author: sickn33

bysickn33

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31,722

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Deployment & DevOps

Streamlines the creation, structuring, and distribution of Python packages using modern standards like pyproject.toml and PyPI.

The Python Packaging skill provides a comprehensive framework for developers to build, version, and distribute professional-grade Python libraries and command-line tools. By leveraging modern standards such as pyproject.toml and automated publishing workflows, it ensures that project structures are compliant with current Python ecosystem best practices. This skill is particularly valuable when transitioning from local scripts to shareable, installable packages, managing complex dependencies, or setting up namespace projects for enterprise-level distribution.

Key Features

01Best-practice project structure and namespace package setup

0231,722 GitHub stars

03Dependency resolution and entry point configuration for CLI tools

04Standardized pyproject.toml configuration and metadata management

05Streamlined publishing workflows for PyPI and private repositories

06Automated building of source distributions and wheel files

Use Cases

01Managing versions and metadata for publishing to the Python Package Index (PyPI)

02Creating a CLI tool with automated installation via entry points

03Converting a collection of scripts into a distributable Python library

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sickn33/antigravity-awesome-skills python-packaging

For use in Claude.ai and ChatGPT

Key Features

01Best-practice project structure and namespace package setup

0231,722 GitHub stars

03Dependency resolution and entry point configuration for CLI tools

04Standardized pyproject.toml configuration and metadata management

05Streamlined publishing workflows for PyPI and private repositories

06Automated building of source distributions and wheel files

Use Cases

01Managing versions and metadata for publishing to the Python Package Index (PyPI)

02Creating a CLI tool with automated installation via entry points

03Converting a collection of scripts into a distributable Python library

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sickn33/antigravity-awesome-skills python-packaging

For use in Claude.ai and ChatGPT