Agent skill · software engineering · aiskillstore
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.
Why this skill is useful
Provides specific patterns and configurations for packaging Python projects that the AI wouldn't reliably generate on its own.
What it needs
Requires setuptools, wheel installed locally. About 8k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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/packagename/ (recommended) Flat layout: packagename/ (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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/python-packaging