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python-packagingPython packaging 测试

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

总安装

356

周安装

15

GitHub Stars

公开资料未说明

下载量

125
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:python-packaging(Python packaging 测试)
来源仓库:https://github.com/microck/ordinary-claude-skills
仓库路径:skills/python-packaging
安装命令:
npx skills add microck/ordinary-claude-skills --skill "python-packaging"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add microck/ordinary-claude-skills --skill "python-packaging"

简介

python-packaging 用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。

  • 适用于 Python 项目代码阅读、测试问题排查与运行命令整理等开发场景。
  • 通过 npx skills add microck/ordinary-claude-skills --skill "python-packaging" 命令安装使用。
  • 涉及执行脚本或访问数据库时应先确认运行目录与输入输出范围,避免误改生产数据。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

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

[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/

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 = " [email protected] "},
]
maintainers = [
    {name = "Maintainer Name", email = " [email protected] "},
]
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/*

Advanced Patterns

Pattern 11: Including Data Files

[tool.setuptools.package-data]
my_package = [
    "data/*.json",
    "templates/*.html",
    "static/css/*.css",
    "py.typed",
]

Accessing data files:

# src/my_package/loader.py
from importlib.resources import files
import json

def load_config():
    """Load configuration from package data."""
    config_file = files("my_package").joinpath("data/config.json")
    with config_file.open() as f:
        return json.load(f)

# Python 3.9+
from importlib.resources import files

data = files("my_package").joinpath("data/file.txt").read_text()

Pattern 12: Namespace Packages

For large projects split across multiple repositories:

# Package 1: company-core
company/
└── core/
    ├── __init__.py
    └── models.py

# Package 2: company-api
company/
└── api/
    ├── __init__.py
    └── routes.py

Do NOT include __init__.py in the namespace directory (company/):

# company-core/pyproject.toml
[project]
name = "company-core"

[tool.setuptools.packages.find]
where = ["."]
include = ["company.core*"]

# company-api/pyproject.toml
[project]
name = "company-api"

[tool.setuptools.packages.find]
where = ["."]
include = ["company.api*"]

Usage:

# Both packages can be imported under same namespace
from company.core import models
from company.api import routes

Pattern 13: C Extensions

[build-system]
requires = ["setuptools>=61.0", "wheel", "Cython>=0.29"]
build-backend = "setuptools.build_meta"

[tool.setuptools]
ext-modules = [
    {name = "my_package.fast_module", sources = ["src/fast_module.c"]},
]

Or with setup.py:

# setup.py
from setuptools import setup, Extension

setup(
    ext_modules=[
        Extension(
            "my_package.fast_module",
            sources=["src/fast_module.c"],
            include_dirs=["src/include"],
        )
    ]
)

Version Management

Pattern 14: Semantic Versioning

# src/my_package/__init__.py
__version__ = "1.2.3"

# Semantic versioning: MAJOR.MINOR.PATCH
# MAJOR: Breaking changes
# MINOR: New features (backward compatible)
# PATCH: Bug fixes

Version constraints in dependencies:

dependencies = [
    "requests>=2.28.0,<3.0.0",  # Compatible range
    "click~=8.1.0",              # Compatible release (~= 8.1.0 means >=8.1.0,<8.2.0)
    "pydantic>=2.0",             # Minimum version
    "numpy==1.24.3",             # Exact version (avoid if possible)
]

Pattern 15: Git-Based Versioning

[build-system]
requires = ["setuptools>=61.0", "setuptools-scm>=8.0"]
build-backend = "setuptools.build_meta"

[project]
name = "my-package"
dynamic = ["version"]

[tool.setuptools_scm]
write_to = "src/my_package/_version.py"
version_scheme = "post-release"
local_scheme = "dirty-tag"

Creates versions like:

  • 1.0.0 (from git tag)
  • 1.0.1.dev3+g1234567 (3 commits after tag)

Testing Installation

Pattern 16: Editable Install

# Install in development mode
pip install -e .

# With optional dependencies
pip install -e ".[dev]"
pip install -e ".[dev,docs]"

# Now changes to source code are immediately reflected

Pattern 17: Testing in Isolated Environment

# Create virtual environment
python -m venv test-env
source test-env/bin/activate  # Linux/Mac
# test-env\Scripts\activate  # Windows

# Install package
pip install dist/my_package-1.0.0-py3-none-any.whl

# Test it works
python -c "import my_package; print(my_package.__version__)"

# Test CLI
my-tool --help

# Cleanup
deactivate
rm -rf test-env

Documentation

Pattern 18: README.md Template

# My Package

[![PyPI version](https://badge.fury.io/py/my-package.svg)](https://pypi.org/project/my-package/)
[![Python versions](https://img.shields.io/pypi/pyversions/my-package.svg)](https://pypi.org/project/my-package/)
[![Tests](https://github.com/username/my-package/workflows/Tests/badge.svg)](https://github.com/username/my-package/actions)

Brief description of your package.

## Installation

pip install my-package


## Quick Start

from my_package import something

result = something.do_stuff()


## Features

- Feature 1
- Feature 2
- Feature 3

## Documentation

Full documentation: https://my-package.readthedocs.io

## Development

git clone https://github.com/username/my-package.git cd my-package pip install -e ".[dev]" pytest


## License

MIT

Common Patterns

Pattern 19: Multi-Architecture Wheels

# .github/workflows/wheels.yml
name: Build wheels

on: [push, pull_request]

jobs:
  build_wheels:
    name: Build wheels on ${{ matrix.os }}
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
        os: [ubuntu-latest, windows-latest, macos-latest]

    steps:
      - uses: actions/checkout@v3

      - name: Build wheels
        uses: pypa/ [email protected] 

      - uses: actions/upload-artifact@v3
        with:
          path: ./wheelhouse/*.whl

Pattern 20: Private Package Index

# Install from private index
pip install my-package --index-url https://private.pypi.org/simple/

# Or add to pip.conf
[global]
index-url = https://private.pypi.org/simple/
extra-index-url = https://pypi.org/simple/

# Upload to private index
twine upload --repository-url https://private.pypi.org/ dist/*

File Templates

.gitignore for Python Packages

# Build artifacts
build/
dist/
*.egg-info/
*.egg
.eggs/

# Python
__pycache__/
*.py[cod]
*$py.class
*.so

# Virtual environments
venv/
env/
ENV/

# IDE
.vscode/
.idea/
*.swp

# Testing
.pytest_cache/
.coverage
htmlcov/

# Distribution
*.whl
*.tar.gz

MANIFEST.in

# MANIFEST.in
include README.md
include LICENSE
include pyproject.toml

recursive-include src/my_package/data *.json
recursive-include src/my_package/templates *.html
recursive-exclude * __pycache__
recursive-exclude * *.py[co]

Checklist for Publishing

  • [ ] Code is tested (pytest passing)
  • [ ] Documentation is complete (README, docstrings)
  • [ ] Version number updated
  • [ ] CHANGELOG.md updated
  • [ ] License file included
  • [ ] pyproject.toml is complete
  • [ ] Package builds without errors
  • [ ] Installation tested in clean environment
  • [ ] CLI tools work (if applicable)
  • [ ] PyPI metadata is correct (classifiers, keywords)
  • [ ] GitHub repository linked
  • [ ] Tested on TestPyPI first
  • [ ] Git tag created for release

Resources

  • Python Packaging Guide: https://packaging.python.org/
  • PyPI: https://pypi.org/
  • TestPyPI: https://test.pypi.org/
  • setuptools documentation: https://setuptools.pypa.io/
  • build: https://pypa-build.readthedocs.io/
  • twine: https://twine.readthedocs.io/

Best Practices Summary

  1. Use src/ layout for cleaner package structure
  2. Use pyproject.toml for modern packaging
  3. Pin build dependencies in build-system.requires
  4. Version appropriately with semantic versioning
  5. Include all metadata (classifiers, URLs, etc.)
  6. Test installation in clean environments
  7. Use TestPyPI before publishing to PyPI
  8. Document thoroughly with README and docstrings
  9. Include LICENSE file
  10. Automate publishing with CI/CD

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

trae

30.31%
按下载量换算38

Antigravity

22.84%
按下载量换算29

windsurf

17.79%
按下载量换算22

Claude Code

12.53%
按下载量换算16

Codex

7.03%
按下载量换算9

Gemini CLI

3.59%
按下载量换算4

安全审计

暂无安全审计结果可展示。

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add microck/ordinary-claude-skills --skill "python-packaging" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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