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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 キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
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.
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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