PluginBench
Skill
Pass
Audit score 90

python-packaging

wshobson/agents

Create distributable Python packages with proper structure, metadata, and PyPI publishing.

What is python-packaging?

Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI. Use this when building libraries, CLI tools, or any Python code intended for distribution.

  • Set up proper package directory structure (source layout, flat layout, or multi-package)
  • Configure pyproject.toml with PEP 621 metadata and build system requirements
  • Build wheels and source distributions for PyPI
  • Manage dependencies and optional dependencies
  • Create entry points for command-line tools
  • Implement package versioning and release workflows

How to install python-packaging

npx skills add https://github.com/wshobson/agents --skill python-packaging
Claude Code
Cursor
Windsurf
Cline

How to use python-packaging

  1. 1.Choose a package structure pattern (source layout recommended, flat layout for simplicity, or multi-package for monorepos)
  2. 2.Create the directory structure with src/package_name/ and tests/ folders
  3. 3.Write a pyproject.toml with build-system, project metadata, and dependencies using PEP 621 format
  4. 4.Add __init__.py files to make directories into packages
  5. 5.Create a README.md and LICENSE file
  6. 6.Build distributions using a build backend (setuptools, hatchling, flit, or poetry)
  7. 7.Test locally with editable installs (pip install -e .)
  8. 8.Publish to TestPyPI first to verify, then to PyPI

Use cases

Good for
  • Publishing a Python library to PyPI for public use
  • Creating a distributable CLI tool with entry points
  • Setting up a private package repository for internal distribution
  • Organizing a multi-package monorepo project
  • Preparing a package for TestPyPI before production release
Who it's for
  • Python library developers
  • Open-source maintainers
  • DevOps engineers distributing tools
  • Data scientists packaging reusable code
  • Teams managing internal Python packages

python-packaging FAQ

What is the difference between source layout and flat layout?

Source layout (src/package_name/) prevents accidentally importing from source and is recommended for libraries. Flat layout (package_name/) is simpler but less professional and allows importing without installation.

What should I use for pyproject.toml configuration?

Use PEP 621 metadata format in pyproject.toml with a [build-system] section specifying your backend (setuptools, hatchling, flit, or poetry) and a [project] section for name, version, description, dependencies, and other metadata.

How do I create a CLI tool with entry points?

Add a [project.scripts] section to pyproject.toml mapping command names to module functions, e.g., my-cli = "my_package.cli:main".

What is the difference between PyPI and TestPyPI?

PyPI is the public Python Package Index for production releases. TestPyPI is a separate testing environment where you can verify your package works before publishing to the real PyPI.

Do I need both setup.py and pyproject.toml?

No. Modern Python packaging uses pyproject.toml exclusively. setup.py is only needed for legacy projects or advanced build customization.

Full instructions (SKILL.md)

Source of truth, from wshobson/agents.


name: python-packaging description: Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.

Python Packaging

Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI.

When to Use This Skill

  • Creating Python libraries for distribution
  • Building command-line tools with entry points
  • Publishing packages to PyPI or private repositories
  • Setting up Python project structure
  • Creating installable packages with dependencies
  • Building wheels and source distributions
  • Versioning and releasing Python packages
  • Creating namespace packages
  • Implementing package metadata and classifiers

Core Concepts

1. Package Structure

  • Source layout: src/package_name/ (recommended)
  • Flat layout: package_name/ (simpler but less flexible)
  • Package metadata: pyproject.toml, setup.py, or setup.cfg
  • Distribution formats: wheel (.whl) and source distribution (.tar.gz)

2. Modern Packaging Standards

  • PEP 517/518: Build system requirements
  • PEP 621: Metadata in pyproject.toml
  • PEP 660: Editable installs
  • pyproject.toml: Single source of configuration

3. Build Backends

  • setuptools: Traditional, widely used
  • hatchling: Modern, opinionated
  • flit: Lightweight, for pure Python
  • poetry: Dependency management + packaging

4. Distribution

  • PyPI: Python Package Index (public)
  • TestPyPI: Testing before production
  • Private repositories: JFrog, AWS CodeArtifact, etc.

Quick Start

Minimal Package Structure

my-package/
├── pyproject.toml
├── README.md
├── LICENSE
├── src/
│   └── my_package/
│       ├── __init__.py
│       └── module.py
└── tests/
    └── test_module.py

Minimal pyproject.toml

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "my-package"
version = "0.1.0"
description = "A short description"
authors = [{name = "Your Name", email = "you@example.com"}]
readme = "README.md"
requires-python = ">=3.8"
dependencies = [
    "requests>=2.28.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0",
    "black>=22.0",
]

Package Structure Patterns

Pattern 1: Source Layout (Recommended)

my-package/
├── pyproject.toml
├── README.md
├── LICENSE
├── .gitignore
├── src/
│   └── my_package/
│       ├── __init__.py
│       ├── core.py
│       ├── utils.py
│       └── py.typed          # For type hints
├── tests/
│   ├── __init__.py
│   ├── test_core.py
│   └── test_utils.py
└── docs/
    └── index.md

Advantages:

  • Prevents accidentally importing from source
  • Cleaner test imports
  • Better isolation

pyproject.toml for source layout:

[tool.setuptools.packages.find]
where = ["src"]

Pattern 2: Flat Layout

my-package/
├── pyproject.toml
├── README.md
├── my_package/
│   ├── __init__.py
│   └── module.py
└── tests/
    └── test_module.py

Simpler but:

  • Can import package without installing
  • Less professional for libraries

Pattern 3: Multi-Package Project

project/
├── pyproject.toml
├── packages/
│   ├── package-a/
│   │   └── src/
│   │       └── package_a/
│   └── package-b/
│       └── src/
│           └── package_b/
└── tests/

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.