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python-packaging

Build and publish Python packages using pyproject.toml and modern standards.

Updated Mar 18, 2026
Search Tags:#python#packaging#pypi#distribution#package#pyproject
One-click install
npx skills add https://github.com/ekremmkasap/jarvis --skill python-packaging-ekremmkasap
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-packaging
Source: https://github.com/ekremmkasap/jarvis/tree/main/server/agent_prompts/wshobson/plugins/python-development/skills/python-packaging
Command: npx skills add https://github.com/ekremmkasap/jarvis --skill python-packaging-ekremmkasap

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Comprehensive guidance to create, structure, and distribute Python packages using modern packaging standards, including pyproject.toml, source layouts, and reliable publishing to PyPI or private registries.

Core Features & Use Cases

  • Package structure patterns: source layout (src/) and alternative layouts, with metadata and build configurations.
  • Build backends and tooling: setuptools, hatchling, flit, and poetry, with PEP 517/518 compliance.
  • Distribution and publishing: packaging artifacts (wheel and sdist), PyPI workflows, and private registry strategies.
  • Versioning and metadata: semantic versioning, dynamic versioning options, and metadata configuration.

Quick Start

Create a minimal Python package following modern packaging standards (pyproject.toml, src layout) and install it in editable mode to test the workflow.

Frequently Asked Questions about python-packaging

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

FAQPage Schema
How do I configure pyproject.toml for a Python package?▼

Configure pyproject.toml by defining build backend requirements, project metadata, and dynamic versioning strategies. It serves as the modern standard for Python packaging, replacing setup.py with declarative distribution metadata.

What's the best way to structure a Python project for PyPI distribution?▼

Use a source layout (src/) with pyproject.toml to structure Python projects for PyPI distribution. This layout separates package code from tests, preventing import errors during wheel and sdist builds.

How does a build backend like setuptools or hatchling work with PEP 517?▼

Build backends like setuptools, hatchling, flit, and poetry comply with PEP 517/518 to define how Python project wheels and sdists are built from source. They read pyproject.toml to execute the build process.

Can I publish Python packages to a private registry instead of PyPI?▼

Yes, you can publish Python packages to private registries instead of PyPI. The workflow generates standard wheel and sdist artifacts that can be uploaded to private index URLs using compatible publishing tools.

Do I need semantic versioning for my Python package metadata?▼

Semantic versioning is recommended for Python package metadata to communicate breaking changes clearly. You can configure static versions or use dynamic versioning options in pyproject.toml to automate version extraction.

Why use a source layout over a flat layout for Python packaging?▼

A source layout (src/) prevents the build backend from accidentally importing unbuilt local code during testing. Flat layouts can cause import collisions, making source layouts more reliable for generating publish-ready wheels.

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