python-pypi-package-builder

Automate building, testing, linting, versioning, and publishing Python libraries to PyPI.

Updated Apr 19, 2026

Search Tags:#versioning #publishing #python #packaging #pypi

Ready to run

npx skills add https://github.com/vathymut/copilot-skills --skill python-pypi-package-builder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-pypi-package-builder
Source: https://github.com/vathymut/copilot-skills/tree/main/.github/skills/python-pypi-package-builder
Command: npx skills add https://github.com/vathymut/copilot-skills --skill python-pypi-package-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires setuptools, hatchling, flit, poetry, twine, git, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the process of building, testing, linting, versioning, and publishing Python libraries to PyPI, automating common steps and guiding the developer through the entire PyPA packaging flow.

Core Features & Use Cases

Build & Test: Automates building and testing processes with various backends (setuptools, hatchling, flit, poetry).
Versioning: Guides on PEP 440 versioning, semver, and static versioning with examples and best practices.
Publishing: Helps set up Trusted Publishing (OIDC) and the full PyPA publishing workflow.
Use Case: If you're looking to publish a Python library to PyPI and want a streamlined process with all the necessary checks and validations.

Quick Start

Run the command: python skills/python-pypi-package-builder/scripts/scaffold.py --name your-package-name

Frequently Asked Questions about python-pypi-package-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I publish a Python library to PyPI?▼

Publishing a Python library to PyPI requires building, testing, linting, and versioning your code before uploading. This process automates the entire PyPA packaging workflow, including setting up Trusted Publishing (OIDC) and configuring tools like setuptools, hatchling, flit, poetry, and twine.

What is the best way to manage Python package versioning for PyPI?▼

The best way to manage Python package versioning is by following PEP 440 standards. You can implement semver or static versioning through automated guidance, ensuring your library meets PyPA packaging requirements and passes all necessary validation checks before release.

Does PyPI Trusted Publishing work with hatchling and poetry backends?▼

Yes, PyPI Trusted Publishing (OIDC) works with hatchling, poetry, setuptools, and flit backends. The packaging flow guides you through configuring Trusted Publishing across these various build tools to securely automate your library releases without needing API tokens.

How do I build and test Python packages before a PyPI release?▼

To build and test Python packages before a PyPI release, you can run an automated scaffold script that orchestrates the process. It handles linting and building using your preferred backend, such as setuptools or flit, ensuring production-grade quality.

What do I need to set up before publishing a Python package to PyPI?▼

Before publishing a Python package to PyPI, you need Python installed along with build and publishing tools like git, twine, and a build backend such as hatchling or poetry. Proper PEP 440 versioning and an understanding of the PyPA flow are also required.