What project layout does this skill recommend?

The skill strongly recommends the 'src' layout for better code isolation and testing, though it also provides templates for flat and multi-package project structures.

How does the skill handle command-line interface (CLI) registration?

It provides specific patterns for registering project.scripts in your configuration and implementing the logic using popular libraries like Click or the built-in argparse module.

Can I use this for publishing to private package repositories?

Absolutely. While the skill covers PyPI and TestPyPI, the configurations and twine patterns provided are fully compatible with private registries like JFrog Artifactory or AWS CodeArtifact.

Does this skill support the latest Python PEP standards?

Yes, it focuses on modern standards including PEP 517, 518, and 621, prioritizing pyproject.toml as the single source of truth over legacy setup.py files.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: Microck

byMicrock

•

开发者工具

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

This skill provides a comprehensive framework for architecting, configuring, and distributing Python libraries and CLI tools according to modern PEP standards. It guides users through complex tasks such as implementing the recommended 'src' layout, managing metadata via PEP 621, configuring build backends like setuptools or hatchling, and automating the release process to PyPI or private registries. Whether you are building a simple utility or a complex multi-package namespace project, this skill ensures your code is installable, maintainable, and ready for the global Python ecosystem.

主要功能

01Standardized project scaffolding with pyproject.toml and src-layout patterns

022 GitHub stars

03Automated CLI entry point configuration for Click and argparse tools

04Comprehensive metadata management including versioning, dependencies, and classifiers

05Advanced configurations for namespace packages, data files, and GitHub Actions CI/CD

06Step-by-step publishing workflows for PyPI and TestPyPI using Twine and Build

使用场景

01Modernizing legacy setup.py projects to follow the latest pyproject.toml packaging standards

02Converting local Python scripts into professional, installable libraries for distribution

03Developing cross-platform CLI applications with automated versioning and entry points

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/opendots-microck python-packaging

For use in Claude.ai and ChatGPT

主要功能

01Standardized project scaffolding with pyproject.toml and src-layout patterns

022 GitHub stars

03Automated CLI entry point configuration for Click and argparse tools

04Comprehensive metadata management including versioning, dependencies, and classifiers

05Advanced configurations for namespace packages, data files, and GitHub Actions CI/CD

06Step-by-step publishing workflows for PyPI and TestPyPI using Twine and Build

使用场景

01Modernizing legacy setup.py projects to follow the latest pyproject.toml packaging standards

02Converting local Python scripts into professional, installable libraries for distribution

03Developing cross-platform CLI applications with automated versioning and entry points