开发编程
#python
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.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=wshobson-agents-plugins-python-development-skills-python-packaging-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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 = "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/ Detailed patterns and worked examples Detailed pattern documentation lives in references/details.md . Read that file when the navigation tier above is insufficient.
Agent 识别该技能的关键词,点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |