Can I create command-line tools with this skill?

Absolutely. It includes specific patterns for registering CLI entry points in your pyproject.toml using libraries like Click or the standard argparse module.

What is the recommended layout for Python packages?

The 'src' layout is highly recommended as it prevents accidental imports from the project root and ensures tests run against the installed package rather than the local source code.

How do I automate publishing to PyPI?

The skill includes patterns for using Twine and GitHub Actions to automate the build and upload process to PyPI or TestPyPI when a new release is created.

Does this skill support modern build tools like Poetry or Hatch?

Yes, it provides guidance and configuration patterns for modern build backends including setuptools, hatchling, flit, and poetry, following PEP 517/518 standards.

Python Packaging & Distribution

Name: Python Packaging & Distribution
Author: EngineerWithAI

byEngineerWithAI

0•

开发者工具

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

The Python Packaging skill provides a comprehensive framework for developing professional-grade Python libraries and CLI tools. It guides users through modern packaging standards such as PEP 517, 518, and 621, while implementing optimal source layouts and dependency management. Whether you are building wheels for PyPI, setting up automated GitHub Actions for releases, or managing complex project metadata, this skill ensures your Python code is structured for maximum compatibility, maintainability, and ease of installation.

主要功能

010 GitHub stars

02CLI development guidance using Click or argparse with registered entry points

03Automated publishing workflows for PyPI and TestPyPI via Twine and GitHub Actions

04Standardized pyproject.toml generation for modern build backends like setuptools and hatchling

05Implementation of recommended 'src' layout patterns for superior package isolation

06Advanced configuration patterns for dynamic versioning and package data inclusion

使用场景

01Standardizing internal corporate libraries with proper metadata and private repository support

02Preparing a Python library for public release on the Python Package Index (PyPI)

03Converting local Python scripts into installable, globally accessible command-line interface (CLI) tools

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add engineerwithai/engineerwith-agents python-packaging

For use in Claude.ai and ChatGPT

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