python-packaging

Package Python projects with pyproject.toml for PyPI distribution.

4|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill python-packaging-ai-foundry-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-packaging
Source: https://github.com/AI-Foundry-Core/ril-agents/tree/main/plugins/python-development/skills/python-packaging
Command: npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill python-packaging-ai-foundry-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converting ad-hoc Python projects into well-structured, distributable packages and simplifying PyPI publishing, reducing setup errors and time-to-release.

Core Features & Use Cases

  • Modern packaging with pyproject.toml, metadata, and PEP 517/518 compatibility
  • Build backends support: setuptools, hatchling, flit, poetry for flexible workflows
  • Distribution formats: wheel and sdist for PyPI and private registries
  • CLI tool packaging and entry points to publish and distribute packages

Quick Start

Create a minimal package structure with pyproject.toml and publish to PyPI.

Frequently Asked Questions about python-packaging

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

FAQPage Schema
How do I package a Python project for PyPI publishing using pyproject.toml?

To package a Python project for PyPI publishing, you configure metadata and build backends in a pyproject.toml file following PEP 517/518 standards. This Skill automates generating compliant source and wheel distributions, reducing setup errors and simplifying the release workflow.

Which Python build backends are supported for creating wheel and sdist distributions?

Common Python build backends including setuptools, hatchling, flit, and poetry are supported for creating distributions. This allows you to maintain flexible packaging workflows while generating standard wheel and sdist formats required for public PyPI or private registry publishing.

Can I use this packaging workflow for CLI tools and private registries?

Yes, this packaging workflow supports CLI tool creation and private distribution workflows. It configures entry points and generates appropriate package formats, making it suitable for distributing command-line applications to private registries across projects of varying sizes.

What is the best way to convert an ad-hoc Python project into a well-structured distributable package?

The best way to convert an ad-hoc Python project into a distributable package is by establishing a minimal package structure with a pyproject.toml file. This Skill streamlines the transition by applying modern packaging best practices, significantly reducing time-to-release.

Why do I need PEP 517 and PEP 518 compatibility for Python packaging?

PEP 517 and PEP 518 compatibility is needed to standardize how Python build backends are declared and invoked during packaging. Adhering to these specifications ensures your pyproject.toml setup reliably builds source and wheel distributions across different environments.

Does this packaging process work across projects of varying sizes?

Yes, this packaging process works across Python projects of varying sizes, from small library development to larger applications. It leverages scalable pyproject.toml configurations and standard build backends to ensure consistent distribution generation regardless of project scope.