python-packaging

Create Python package structures and pyproject.toml metadata for PyPI distribution.

Updated Jul 8, 2026
One-click install
npx skills add https://github.com/PriyanshKuniyal/gemini-cli-resources --skill python-packaging-priyanshkuniyal
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-packaging
Source: https://github.com/PriyanshKuniyal/gemini-cli-resources/tree/main/extensions/claude-code-workflows/plugins/python-development/skills/python-packaging
Command: npx skills add https://github.com/PriyanshKuniyal/gemini-cli-resources --skill python-packaging-priyanshkuniyal

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires setuptools, wheel, setuptools-scm, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the complexities of creating and distributing Python packages, offering a structured approach to package structure, metadata, and publishing to PyPI.

Core Features & Use Cases

  • Proper Project Structure: Guidance on creating a standardized project layout for Python packages.
  • Modern Packaging Standards: Adheres to PEP 517/518 for build system requirements and PEP 621 for metadata in pyproject.toml.
  • Distribution: Publishing to PyPI and managing versions using Semantic Versioning or Git-based versioning.
  • Use Case: If you're a developer looking to distribute your Python library or CLI tool, this Skill will provide you with the instructions to package and release your code.

Quick Start

Initialize your Python package and use the skill to create a pyproject.toml and setup.py file for proper structure and metadata.

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 library for distribution on PyPI?

To package a Python library for PyPI, you need to define project metadata in pyproject.toml, create a standardized project structure, and use build tools like setuptools to compile and publish the distribution.

What is the best way to manage semantic versioning in a Python package?

Semantic versioning in a Python package is managed by defining versioning rules in pyproject.toml and utilizing setuptools-scm to derive version numbers automatically from Git tags for consistent releases.

Do I need both pyproject.toml and setup.py to build a Python package?

While modern Python packaging standards rely on pyproject.toml for metadata and build system requirements, keeping a minimal setup.py ensures compatibility with legacy tooling and specific dynamic configuration needs.

How does pyproject.toml adhere to modern Python packaging standards?

The pyproject.toml file adheres to modern Python packaging standards by following PEP 517/518 for build system requirements and PEP 621 for defining project metadata, replacing traditional setup.py configurations.

What are the limitations of using setuptools and wheel for Python distribution?

Using setuptools and wheel for Python distribution requires strict adherence to PEP standards and proper configuration of build dependencies, which can create friction if the project structure lacks a standardized layout.