Can I use this for private package repositories?

Absolutely. While the guide focuses on PyPI, the workflows and configurations are easily adaptable for JFrog, AWS CodeArtifact, or private GitLab registries.

How does it handle versioning?

The skill includes patterns for both static versioning in pyproject.toml and dynamic versioning using tools like setuptools-scm based on Git tags.

Does it include help for command-line tool development?

Yes, it provides specific implementation patterns for creating CLIs using both the standard argparse library and the popular Click framework.

Why is the 'src' layout recommended over a flat layout?

The 'src' layout prevents accidental imports from the project root and ensures that your test suite runs against the installed version of your package, mimicking the end-user experience.

Does this skill support modern PEP standards?

Yes, it fully supports PEP 517, 518, and 621 for metadata and build system requirements, ensuring compatibility with modern installers like pip and build.

Python Packaging Pro

Name: Python Packaging Pro
Author: sla-te

bysla-te

0•

部署与 DevOps

Creates and configures professional, distributable Python packages using modern pyproject.toml standards and best practices.

Python Packaging Pro is a specialized skill designed to streamline the process of building, structuring, and distributing Python libraries and CLI tools. It provides exhaustive guidance on implementing modern packaging standards like PEP 621, choosing between robust source layouts or simpler flat layouts, and managing complex dependency trees. Whether you are publishing to PyPI, building command-line interfaces with Click, or automating your release cycle via GitHub Actions, this skill ensures your projects are maintainable, installable, and compliant with industry-standard versioning and metadata practices.

主要功能

01Comprehensive distribution workflows for PyPI, TestPyPI, and private registries

02Automated CI/CD release pipelines using GitHub Actions workflows

03Command-line interface (CLI) development patterns with Click and argparse

040 GitHub stars

05Standardized project architecture patterns including 'src' and 'flat' layouts

06Modern pyproject.toml configuration templates for PEP 517/518/621 compliance

使用场景

01Converting local utility scripts into production-grade distributable libraries

02Migrating legacy setup.py or setup.cfg configurations to modern pyproject.toml files

03Building and registering command-line tools with custom entry points and subcommands

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sla-te/copilot-converter python-packaging

For use in Claude.ai and ChatGPT

Download Skill