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python-packaging

Package Python projects into wheels and source distributions with pyproject.toml.

Updated Jan 29, 2026
Search Tags:#python#packaging#pyproject.toml#PyPI#wheel#build-backends
One-click install
npx skills add https://github.com/CallMeLuigiv2/Socratic-IDE --skill python-packaging-callmeluigiv2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-packaging
Source: https://github.com/CallMeLuigiv2/Socratic-IDE/tree/main/.agents/skills/python-packaging
Command: npx skills add https://github.com/CallMeLuigiv2/Socratic-IDE --skill python-packaging-callmeluigiv2

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Packaging Python projects is often error-prone and inconsistent. This Skill helps teams create well-structured, distribution-ready packages that can be published to PyPI or private registries using modern standards.

Core Features & Use Cases

  • Modern packaging standards: Use pyproject.toml, PEP 517/518, PEP 621 metadata, and PEP 660 editable installs.
  • Build backends & formats: Choose setuptools, hatchling, flit, or poetry to produce wheels and source distributions.
  • Publishing & distribution: Prepare and publish to PyPI or private repositories, with clean metadata and versioning.
  • Project layout guidance: Prefer src/ layout or flat structures with clear tests, docs, and type hints.

Quick Start

Create a new Python package with a modern pyproject.toml, select a build backend, add your package code, build a wheel, and publish to a registry.

Frequently Asked Questions about python-packaging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure pyproject.toml for a Python package?▼

Configure pyproject.toml for Python packaging by defining PEP 621 metadata and selecting a PEP 517/518 build backend like setuptools, hatchling, flit, or poetry to ensure reliable builds and distribution.

What's the best way to build a wheel and sdist for PyPI?▼

The best way to build a wheel and sdist for PyPI is using modern packaging tools that apply PEP 517/518 standards, allowing you to produce clean distributions from a well-structured project.

Does this packaging process support private repositories?▼

Yes, the packaging process supports publishing to private repositories. It helps prepare clean metadata and versioning suitable for distributing builds to both PyPI and private registries.

Setuptools vs hatchling vs poetry: which build backend should I choose?▼

Choose between setuptools, hatchling, and poetry build backends based on your project needs. This packaging process supports all three to produce wheels and source distributions compliant with PEP 517/518.

When do I need PEP 660 editable installs for Python packaging?▼

You need PEP 660 editable installs for Python packaging when you want to test local changes without reinstalling. This process supports PEP 660 alongside modern pyproject.toml configuration standards.

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