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VoldemortGin
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hatchling

Build Python packages into wheels and sdists via pyproject.toml.

Updated Aug 27, 2026
Search Tags:#dependencies#packaging#pyproject.toml#wheel#hatchling#sdist#build backend
One-click install
npx skills add https://github.com/VoldemortGin/claude-skills --skill hatchling
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hatchling
Source: https://github.com/VoldemortGin/claude-skills/tree/main/skills/hatchling
Command: npx skills add https://github.com/VoldemortGin/claude-skills --skill hatchling

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies and standardizes the complex process of building Python packages, ensuring compatibility, reproducibility, and adherence to modern packaging standards.

Core Features & Use Cases

  • Build Backend: Acts as a modern, PEP 517 compliant build backend for creating wheels and sdists.
  • Configuration: Manages project metadata, dependencies, and build options via pyproject.toml.
  • Extensibility: Supports custom build hooks for advanced tasks like compiling extensions or generating code.
  • Use Case: When starting a new Python project, use this Skill to set up a robust build system that handles packaging, dependencies, and metadata correctly from the outset, ensuring a smooth development and distribution workflow.

Quick Start

Use the hatchling skill to build the current project into a wheel and source distribution.

Frequently Asked Questions about hatchling

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

FAQPage Schema
How do I build a Python wheel and sdist from pyproject.toml?▼

Building a Python wheel and sdist requires defining project metadata and dependencies in pyproject.toml. Using a PEP 517 compliant build backend manages these configurations to ensure reproducible and standardized package creation.

What is the modern way to manage Python package metadata and dependencies?▼

Modern Python package management uses pyproject.toml to define dependencies and metadata. A PEP 517 compliant build backend processes this configuration to handle packaging standards, ensuring compatibility with standard distribution tools.

Can I use custom build hooks to compile extensions during Python packaging?▼

Custom build hooks are supported during Python packaging to handle advanced tasks like compiling extensions or generating code. This allows developers to extend the build process while maintaining PEP 517 compliance.

Does a PEP 517 build backend work with standard Python packaging tools?▼

A PEP 517 build backend ensures compatibility with standard Python packaging tools by adhering to modern packaging standards. It manages reproducible builds and package configurations through pyproject.toml, integrating smoothly into standard development workflows.

Why should I use pyproject.toml for Python packaging instead of setup.py?▼

Using pyproject.toml for Python packaging standardizes metadata and build configurations in a modern format. A PEP 517 compliant backend uses this file to ensure reproducible builds and compatibility, moving away from legacy setup.py scripts.

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