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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

1,435

周安装

61

GitHub Stars

28

下载量

503
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

unknown

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/laurigates/claude-plugins
仓库路径:skills/python-packaging
安装命令:
npx skills add https://github.com/laurigates/claude-plugins --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。

skills.shnpx skills
npx skills add https://github.com/laurigates/claude-plugins --skill python-packaging

简介

python-packaging 用于辅助 Python 项目的打包、测试和依赖管理。

  • 适合阅读代码、整理构建命令或分析包结构。
  • 使用时需确认虚拟环境和依赖版本。python-packaging 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 涉及执行脚本或修改配置时,应明确运行目录和输入输出。
  • 避免误改生产环境中的关键文件或数据。

SKILL.md

Python Packaging

Quick reference for building and publishing Python packages with UV and modern build tools.

When This Skill Applies

  • Building Python packages (wheels, sdists)
  • Publishing to PyPI or private indexes
  • Package versioning
  • Build system configuration
  • Editable installations

Quick Reference

Building Packages

# Build package
uv build

# Build specific formats
uv build --wheel
uv build --sdist

# Output location: dist/

Publishing

# Publish to PyPI
uv publish

# With token
uv publish --token $PYPI_TOKEN

# To Test PyPI
uv publish --publish-url https://test.pypi.org/legacy/

Package Structure

my-package/
├── pyproject.toml
├── README.md
├── LICENSE
├── src/
│   └── my_package/
│       ├── __init__.py
│       ├── __version__.py
│       └── main.py
└── tests/

pyproject.toml Configuration

[project]
name = "my-package"
version = "0.1.0"
description = "A great package"
readme = "README.md"
requires-python = ">=3.11"
license = {text = "MIT"}
authors = [
    {name = "Your Name", email = "you@example.com"}
]
keywords = ["python", "package"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.11",
]

dependencies = [
    "requests>=2.31.0",
]

[project.optional-dependencies]
dev = ["pytest", "ruff", "ty"]

[project.urls]
Homepage = "https://github.com/user/my-package"
Documentation = "https://my-package.readthedocs.io"
Repository = "https://github.com/user/my-package.git"
Issues = "https://github.com/user/my-package/issues"

[project.scripts]
my-cli = "my_package.cli:main"

[build-system]
requires = ["uv_build>=0.9.2,<0.10.0"]
build-backend = "uv_build"

Versioning

[project]
version = "0.1.0"  # Manual versioning

# Dynamic versioning (from git tags)
dynamic = ["version"]

[tool.uv]
version-provider = "git"

Entry Points

[project.scripts]
my-cli = "my_package.cli:main"

[project.gui-scripts]
my-gui = "my_package.gui:main"

[project.entry-points."my_plugin"]
plugin1 = "my_package.plugins:plugin1"

Build Backends

UV Build (default)

[build-system]
requires = ["uv_build>=0.9.2,<0.10.0"]
build-backend = "uv_build"

Setuptools

[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"

Hatchling

[build-system]
requires = ["hatchling>=1.18"]
build-backend = "hatchling.build"

Common Workflows

Publish to PyPI

# 1. Build
uv build

# 2. Check built packages
ls dist/

# 3. Publish
uv publish --token $PYPI_TOKEN

Test PyPI First

# Publish to Test PyPI
uv publish --publish-url https://test.pypi.org/legacy/ \
           --token $TEST_PYPI_TOKEN

# Test installation
pip install --index-url https://test.pypi.org/simple/ my-package

Package Classifiers

Common classifiers:

classifiers = [
    # Development Status
    "Development Status :: 3 - Alpha",
    "Development Status :: 4 - Beta",
    "Development Status :: 5 - Production/Stable",

    # Audience
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",

    # License
    "License :: OSI Approved :: MIT License",

    # Python Versions
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",

    # Framework
    "Framework :: Django",
    "Framework :: FastAPI",

    # Topic
    "Topic :: Software Development :: Libraries",
    "Topic :: Scientific/Engineering",
]

Full list: https://pypi.org/classifiers/

See Also

  • uv-project-management - Project setup and dependencies
  • python-development - Core Python patterns
  • uv-workspaces - Building workspace packages

References

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

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

展示第三方安全扫描或审计结果

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

Codex

35.27%
按下载量换算177

Claude

27.99%
按下载量换算141

Cursor

18.24%
按下载量换算92

Gemini CLI

9.47%
按下载量换算48

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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