Skip to main content
skill Claude Code CX Codex Cursor

python-packaging — Claude Code skill: what it does, how to install

This skill turns Python libraries and CLI tools into installable packages and guides PyPI releases. Use it when a project needs a distributable structure.

Install into Claude Code · Plugin marketplace All methods and platforms ↓
/plugin marketplace add wshobson/agents
/plugin install python-development@claude-code-workflows
Open on GitHub

What python-packaging does

python-packaging covers the pieces needed for a distributable Python project: a src/ layout, pyproject.toml, package metadata, dependencies, tests, README, and LICENSE. It also explains entry points for CLI tools, versioning, wheels, and source distributions.

The guide covers setuptools, hatchling, flit, and poetry, plus PEP 517/518, PEP 621, and PEP 660. It includes paths for publishing to PyPI, TestPyPI, and private repositories. More detailed patterns are kept in references/details.md.

Install it when you are packaging a Python library or CLI for distribution. For a small internal script that will not be installed or released, this skill adds more structure than you need.

What it helps with

  • package a Python library for installation
  • configure pyproject.toml and package metadata
  • create a CLI with entry points
  • build wheels and source distributions
  • publish a release to PyPI or a private repository

Example prompts for the agent

  • Package the code in `src/package_name/` for a PyPI release.
  • Set up `pyproject.toml` for this CLI and add its dependencies and entry point.
  • Build a wheel and source distribution, then test the release through TestPyPI.

How to install python-packaging

1Plugin marketplace

/plugin marketplace add wshobson/agents
/plugin install python-development@claude-code-workflows

2Skills CLI (Vercel)

npx skills add wshobson/agents --skill python-packaging -a claude-code

3Manually: put the files in place

~/.claude/skills/python-packaging/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/python-packaging/

Similar

Questions about python-packaging

How do I install python-packaging in Claude Code?

Run npx skills add wshobson/agents --skill python-packaging -a claude-code. The skill file is placed at ~/.claude/skills/python-packaging/SKILL.md.

What does python-packaging do?

It guides the setup of Python package structure, pyproject.toml, metadata, and dependencies. It also covers wheels, source distributions, and publishing to PyPI.

Which Python packaging tools does the skill cover?

It covers setuptools, hatchling, flit, and poetry, along with PEP 517/518, PEP 621, and PEP 660.

Source text

SKILL.md · MIT
---
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

```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:**

```toml
[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.

© Seth Hobson · MIT · wshobson/agents

See also

Project sponsors

Companies that keep this analytics open
Gold sponsor

Impressions, clicks and code copies — open statistics. We keep the numbers public for the same reason NeBlask itself is public. Become a sponsor