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Python Packaging

Caution

Structure Python packages for distribution with proper pyproject.toml, versioning, CI publishing, and PyPI release workflows.

By agent-skills 4,250 v1.3.0 Updated 2026-03-10

Install

Claude Code

claude install python-packaging

About This Skill

Overview

Python Packaging handles the entire lifecycle of creating and distributing Python packages. From initial project structure to PyPI release, this skill ensures your package follows modern Python packaging standards.

Key Features

  • Project Structure: Creates a well-organized package layout with src/ structure, proper __init__.py files, and separation of source, tests, and documentation.
  • pyproject.toml Configuration: Generates complete pyproject.toml with build system, project metadata, optional dependencies, entry points, and tool configurations (pytest, ruff, mypy).
  • Version Management: Supports dynamic versioning with setuptools-scm or manual versioning with bump scripts. Follows semantic versioning conventions.
  • Publishing Pipeline: Creates GitHub Actions workflows for test, build, and publish cycles. Supports TestPyPI for staging and PyPI for production releases with trusted publishing (OIDC).

Build Backend Support

Configures your choice of build backend: setuptools for traditional projects, hatchling for modern conventions, flit for simple pure-Python packages, or maturin for Rust extensions.

Distribution Formats

Generates both wheel and sdist distributions. Handles platform-specific wheels for packages with C extensions. Supports PEP 561 type stubs for typed packages.

Use Cases

  • Set up pyproject.toml with proper metadata and dependencies
  • Configure build backends (setuptools, hatchling, or flit)
  • Create GitHub Actions workflow for automated PyPI publishing
  • Implement semantic versioning with automatic changelog generation

Pros & Cons

Pros

  • + Follows the latest Python packaging standards (PEP 621, PEP 517)
  • + Trusted publishing setup eliminates the need for stored API tokens
  • + Supports all major build backends with idiomatic configurations

Cons

  • - Complex native extensions may require manual maturin/setuptools configuration
  • - Monorepo Python packages need additional workspace tooling not covered

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