PY

python-packaging

A tool to structure, build, and publish Python packages to PyPI.

Install

mkdir -p .claude/skills/python-packaging && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/2274" && unzip -o skill.zip -d .claude/skills/python-packaging && rm skill.zip

Installs to .claude/skills/python-packaging

Activation

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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.
202 chars✓ has a “when” trigger
Intermediate

Key capabilities

  • Create Python libraries
  • Build command-line tools
  • Publish packages to PyPI
  • Set up Python project structure
  • Implement package metadata and classifiers

How it works

The skill guides users through structuring a Python project with `pyproject.toml`, defining metadata, and choosing build backends like setuptools or hatchling to create distributable packages.

Inputs & outputs

You give it
Python source code and project files
You get back
Distributable Python package (.whl, .tar.gz) or published PyPI package

When to use python-packaging

  • Structure a new Python library
  • Build a wheel distribution for a CLI tool
  • Publish a package to PyPI

About this skill

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 = "[email protected]"}]
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.

How it compares

This skill provides a structured approach to Python packaging using modern standards like `pyproject.toml`, which is more organized than manually configuring `setup.py` or `setup.cfg`.

Compared to similar skills

python-packaging side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
python-packaging (this skill)62moNo flagsIntermediate
jupyter-notebook306moReviewIntermediate
unsloth158moNo flagsIntermediate
azure-functions105moReviewIntermediate

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