Agents python-packaging
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.
install
source · Clone the upstream repo
git clone https://github.com/wshobson/agents
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/wshobson/agents "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/python-development/skills/python-packaging" ~/.claude/skills/wshobson-agents-python-packaging && rm -rf "$T"
manifest:
plugins/python-development/skills/python-packaging/SKILL.mdsource content
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:
(recommended)src/package_name/ - Flat layout:
(simpler but less flexible)package_name/ - 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/
Complete pyproject.toml Examples
Pattern 4: Full-Featured pyproject.toml
[build-system] requires = ["setuptools>=61.0", "wheel"] build-backend = "setuptools.build_meta" [project] name = "my-awesome-package" version = "1.0.0" description = "An awesome Python package" readme = "README.md" requires-python = ">=3.8" license = {text = "MIT"} authors = [ {name = "Your Name", email = "you@example.com"}, ] maintainers = [ {name = "Maintainer Name", email = "maintainer@example.com"}, ] keywords = ["example", "package", "awesome"] classifiers = [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", ] dependencies = [ "requests>=2.28.0,<3.0.0", "click>=8.0.0", "pydantic>=2.0.0", ] [project.optional-dependencies] dev = [ "pytest>=7.0.0", "pytest-cov>=4.0.0", "black>=23.0.0", "ruff>=0.1.0", "mypy>=1.0.0", ] docs = [ "sphinx>=5.0.0", "sphinx-rtd-theme>=1.0.0", ] all = [ "my-awesome-package[dev,docs]", ] [project.urls] Homepage = "https://github.com/username/my-awesome-package" Documentation = "https://my-awesome-package.readthedocs.io" Repository = "https://github.com/username/my-awesome-package" "Bug Tracker" = "https://github.com/username/my-awesome-package/issues" Changelog = "https://github.com/username/my-awesome-package/blob/main/CHANGELOG.md" [project.scripts] my-cli = "my_package.cli:main" awesome-tool = "my_package.tools:run" [project.entry-points."my_package.plugins"] plugin1 = "my_package.plugins:plugin1" [tool.setuptools] package-dir = {"" = "src"} zip-safe = false [tool.setuptools.packages.find] where = ["src"] include = ["my_package*"] exclude = ["tests*"] [tool.setuptools.package-data] my_package = ["py.typed", "*.pyi", "data/*.json"] # Black configuration [tool.black] line-length = 100 target-version = ["py38", "py39", "py310", "py311"] include = '\.pyi?$' # Ruff configuration [tool.ruff] line-length = 100 target-version = "py38" [tool.ruff.lint] select = ["E", "F", "I", "N", "W", "UP"] # MyPy configuration [tool.mypy] python_version = "3.8" warn_return_any = true warn_unused_configs = true disallow_untyped_defs = true # Pytest configuration [tool.pytest.ini_options] testpaths = ["tests"] python_files = ["test_*.py"] addopts = "-v --cov=my_package --cov-report=term-missing" # Coverage configuration [tool.coverage.run] source = ["src"] omit = ["*/tests/*"] [tool.coverage.report] exclude_lines = [ "pragma: no cover", "def __repr__", "raise AssertionError", "raise NotImplementedError", ]
Pattern 5: Dynamic Versioning
[build-system] requires = ["setuptools>=61.0", "setuptools-scm>=8.0"] build-backend = "setuptools.build_meta" [project] name = "my-package" dynamic = ["version"] description = "Package with dynamic version" [tool.setuptools.dynamic] version = {attr = "my_package.__version__"} # Or use setuptools-scm for git-based versioning [tool.setuptools_scm] write_to = "src/my_package/_version.py"
In init.py:
# src/my_package/__init__.py __version__ = "1.0.0" # Or with setuptools-scm from importlib.metadata import version __version__ = version("my-package")
Command-Line Interface (CLI) Patterns
Pattern 6: CLI with Click
# src/my_package/cli.py import click @click.group() @click.version_option() def cli(): """My awesome CLI tool.""" pass @cli.command() @click.argument("name") @click.option("--greeting", default="Hello", help="Greeting to use") def greet(name: str, greeting: str): """Greet someone.""" click.echo(f"{greeting}, {name}!") @cli.command() @click.option("--count", default=1, help="Number of times to repeat") def repeat(count: int): """Repeat a message.""" for i in range(count): click.echo(f"Message {i + 1}") def main(): """Entry point for CLI.""" cli() if __name__ == "__main__": main()
Register in pyproject.toml:
[project.scripts] my-tool = "my_package.cli:main"
Usage:
pip install -e . my-tool greet World my-tool greet Alice --greeting="Hi" my-tool repeat --count=3
Pattern 7: CLI with argparse
# src/my_package/cli.py import argparse import sys def main(): """Main CLI entry point.""" parser = argparse.ArgumentParser( description="My awesome tool", prog="my-tool" ) parser.add_argument( "--version", action="version", version="%(prog)s 1.0.0" ) subparsers = parser.add_subparsers(dest="command", help="Commands") # Add subcommand process_parser = subparsers.add_parser("process", help="Process data") process_parser.add_argument("input_file", help="Input file path") process_parser.add_argument( "--output", "-o", default="output.txt", help="Output file path" ) args = parser.parse_args() if args.command == "process": process_data(args.input_file, args.output) else: parser.print_help() sys.exit(1) def process_data(input_file: str, output_file: str): """Process data from input to output.""" print(f"Processing {input_file} -> {output_file}") if __name__ == "__main__": main()
Building and Publishing
Pattern 8: Build Package Locally
# Install build tools pip install build twine # Build distribution python -m build # This creates: # dist/ # my-package-1.0.0.tar.gz (source distribution) # my_package-1.0.0-py3-none-any.whl (wheel) # Check the distribution twine check dist/*
Pattern 9: Publishing to PyPI
# Install publishing tools pip install twine # Test on TestPyPI first twine upload --repository testpypi dist/* # Install from TestPyPI to test pip install --index-url https://test.pypi.org/simple/ my-package # If all good, publish to PyPI twine upload dist/*
Using API tokens (recommended):
# Create ~/.pypirc [distutils] index-servers = pypi testpypi [pypi] username = __token__ password = pypi-...your-token... [testpypi] username = __token__ password = pypi-...your-test-token...
Pattern 10: Automated Publishing with GitHub Actions
# .github/workflows/publish.yml name: Publish to PyPI on: release: types: [created] jobs: publish: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 - name: Set up Python uses: actions/setup-python@v4 with: python-version: "3.11" - name: Install dependencies run: | pip install build twine - name: Build package run: python -m build - name: Check package run: twine check dist/* - name: Publish to PyPI env: TWINE_USERNAME: __token__ TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} run: twine upload dist/*
For advanced patterns including data files, namespace packages, C extensions, version management, testing installation, documentation templates, and distribution workflows, see references/advanced-patterns.md