python-packaging
π―SkillHelps you turn your Python code into a package that others can install, and publish it to PyPI, the public site for sharing Python packages. It covers folder layout, the settings file, and building the files you upload.
Installation
npx skills add wshobson/agents --skill python-packagingRun it in a terminal; it asks which AI coding tools to install it for (Claude Code, Codex, Cursor and more).
Uses skills.sh Β· Node.js 22.20+
After installing
Ask for related work and the agent uses it on its own, or call it yourself.
/python-packagingInstall by hand
Copy the whole skill folder from GitHub to the place below. Copying only SKILL.md can leave out files the skill uses.
Open the skill folder β- This project
.claude/skills/python-packaging/ - All projects
~/.claude/skills/python-packaging/
These paths are for Claude Code. For other tools, the command above puts it in the right place.
What this skill does
Overview
This skill guides an AI coding tool in packaging Python code so it can be installed with one command. It centers on pyproject.toml, the single settings file modern Python projects use to describe a package. It also explains how to publish the result to PyPI, TestPyPI or a private company store.
Key Features
- Set up a clean project folder, with the recommended src/ layout explained.
- Write a minimal pyproject.toml with name, version and needed libraries.
- Choose a build tool such as setuptools, hatchling, flit or poetry.
- Turn your scripts into command-line tools people can run after installing.
- Build install files and try them on TestPyPI before the real release.
Who is this for?
This is for Python developers who want to share a library or tool with others. It is also handy for teams that publish internal packages to a private repository.
Summarized by AI from this skill's SKILL.md. Suggest a better one
SKILL.md
View on GitHub βCreate 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/
βββ pyproject.toml
βββ README.md
βββ LICENSE
βββ src/
β βββ my_package/
β βββ __init__.py
β βββ module.py
βββ tests/
βββ 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/
βββ pyproject.toml
βββ README.md
βββ LICENSE
βββ .gitignore
βββ src/
β βββ my_package/
β βββ __init__.py
β βββ core.py
β βββ utils.py
β βββ py.typed # For type hints
βββ tests/
β βββ __init__.py
β βββ test_core.py
β βββ test_utils.py
βββ docs/
βββ 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/
βββ pyproject.toml
βββ README.md
βββ my_package/
β βββ __init__.py
β βββ module.py
βββ tests/
βββ test_module.py
Simpler but:
- Can import package without installing
- Less professional for libraries
Pattern 3: Multi-Package Project
project/
βββ pyproject.toml
βββ packages/
β βββ package-a/
β β βββ src/
β β βββ package_a/
β βββ package-b/
β βββ src/
β βββ package_b/
βββ tests/
Detailed patterns and worked examples
Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.
More from this repository10
Helps you build a consistent look for your app with Tailwind CSS v4. It sets up shared colors, sizes, dark mode and reusable components so every screen matches.
A guide to TypeScript's advanced type features, which describe the shape of your data so mistakes are caught before the code runs. It covers reusable types, types that change based on rules, and built-in helper types, with short examples.
Guidance for building reliable server-side apps with Node.js, using Express or Fastify. It covers login, error handling, databases, API design and a list of proven best practices.
Intelligent automation and multi-agent orchestration for Claude Code
Claude Code plugin for AI-powered framework migration workflows, coordinating specialized agents to plan and execute transitions between technology stacks as part of the wshobson/agents marketplace.
A Claude Code plugin for payment system integration covering Stripe, PayPal, and billing platforms with checkout flows, subscription management, and webhook handling in the wshobson/agents ecosystem.
A Claude Code plugin bundling core development tools and agents for everyday tasks like debugging and code generation, part of the wshobson/agents marketplace with 73 focused plugins.
Claude Code plugin for observability and monitoring including logging, metrics, distributed tracing, and alerting, part of the wshobson/agents marketplace with 73 focused plugins.
A Claude Code plugin providing specialized AI agents for deployment strategy planning and execution, covering blue-green deployments, canary releases, rolling updates, and zero-downtime patterns.
Claude Code plugin for JVM language development including Java, Kotlin, and Scala with specialized agents for idiomatic patterns, build tools, and runtime optimization in the wshobson/agents marketplace.