AgentSkillsCN

python-packaging

在创建与分发Python软件包时,请参考此技能。适用于创建Python软件包、配置pyproject.toml文件、设置入口点、发布至PyPI、为软件包构建CI/CD流水线时使用。切勿在测试软件包时使用此技能——请改用Python测试技能。切勿在优化软件包性能时使用此技能——请改用Python性能技能。

SKILL.md
--- frontmatter
name: python-packaging
description: 'Consult this skill for Python package creation and distribution. Use
  when creating Python packages, configuring pyproject.toml, setting up entry points,
  publishing to PyPI, CI/CD for packages. Do not use when testing packages - use python-testing
  instead. DO NOT use when: optimizing package performance - use python-performance.'
category: packaging
tags:
- python
- packaging
- pyproject.toml
- uv
- pip
- pypi
- distribution
tools:
- package-analyzer
- build-runner
usage_patterns:
- package-creation
- pypi-publishing
- cli-tool-development
- library-distribution
complexity: beginner
estimated_tokens: 200
progressive_loading: true
modules:
- uv-workflow.md
- pyproject-patterns.md
- entry-points.md
- ci-cd-integration.md
version: 1.4.0

Table of Contents

Python Packaging

Modern Python packaging with pyproject.toml, uv, and best practices for distribution.

Quick Start

bash
# Create new project with uv
uv init my-package
cd my-package

# Add dependencies
uv add requests click

# Build package
uv build

# Publish to PyPI
uv publish

Verification: Run the command with --help flag to verify availability.

When To Use

  • Creating distributable Python libraries
  • Building CLI tools
  • Publishing to PyPI
  • Setting up development environments
  • Managing project dependencies

When NOT To Use

  • Testing packages - use python-testing instead
  • Optimizing package performance - use python-performance
  • Testing packages - use python-testing instead
  • Optimizing package performance - use python-performance

Core Decisions

1. Layout Choice

yaml
# Source layout (recommended)
src/my_package/
    __init__.py
    module.py

# Flat layout (simple)
my_package/
    __init__.py
    module.py

Verification: Run the command with --help flag to verify availability.

Source layout benefits:

  • Clear separation of source and tests
  • Prevents accidental imports of uninstalled code
  • Better for packages with complex structure

2. Project Structure

Minimal Project:

code
**Verification:** Run `pytest -v` to verify tests pass.
my-project/
├── pyproject.toml
├── README.md
├── src/
│   └── my_package/
│       └── __init__.py
└── tests/
    └── test_init.py

Verification: Run pytest -v to verify tests pass.

Complete Project:

code
**Verification:** Run the command with `--help` flag to verify availability.
my-project/
├── pyproject.toml
├── README.md
├── LICENSE
├── .gitignore
├── src/
│   └── my_package/
│       ├── __init__.py
│       ├── cli.py
│       ├── core.py
│       └── utils.py
├── tests/
│   ├── conftest.py
│   └── test_core.py
└── docs/
    └── index.md

Verification: Run pytest -v to verify tests pass.

Detailed Topics

See modules for detailed information:

Best Practices

  1. Use source layout for anything beyond simple packages
  2. Pin direct dependencies with minimum versions
  3. Use optional dependency groups for dev/docs/test
  4. Include py.typed for type hint support
  5. Add detailed README with usage examples
  6. Use semantic versioning (MAJOR.MINOR.PATCH)
  7. Test on multiple Python versions before publishing

Exit Criteria

  • Modern pyproject.toml configuration
  • Clear dependency specification
  • Proper version management
  • Tests included and passing
  • Build process reproducible
  • Publishing pipeline automated