py-packaging

Manage Python packaging, dependency resolution, and artifact distribution with pyproject.toml.

1|1|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/stevenke1981/python_skills --skill py-packaging
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: py-packaging
Source: https://github.com/stevenke1981/python_skills/tree/main/py-packaging
Command: npx skills add https://github.com/stevenke1981/python_skills --skill py-packaging

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill resolves the complexity of managing Python project lifecycles, ensuring reproducible builds, correct metadata, and secure, automated publishing workflows.

Core Features & Use Cases

  • Standardized Packaging: Configure projects using pyproject.toml, PEP 621 metadata, and modern build backends like Hatchling.
  • Dependency Management: Utilize uv for fast, deterministic dependency resolution, locking, and environment synchronization.
  • Secure Distribution: Implement Trusted Publishing for PyPI releases, eliminating the need for long-lived API tokens.
  • Use Case: Migrate a legacy setup.py project to a modern src-layout, implement a CI/CD pipeline that builds wheels, and publish them to PyPI using OIDC-based authentication.

Quick Start

Use the py-packaging skill to initialize a new project structure and lock dependencies with uv.

Frequently Asked Questions about py-packaging

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

FAQPage Schema
How do I migrate a legacy setup.py project to pyproject.toml?

To migrate from setup.py to pyproject.toml, configure your project using PEP 621 metadata and modern build backends like Hatchling. This standardizes packaging by replacing imperative scripts with declarative configuration for reproducible builds.

What is the best way to manage Python dependencies deterministically?

The best way to manage Python dependencies deterministically is utilizing uv for fast resolution, locking, and environment synchronization. This creates reproducible environments by locking exact dependency versions across different platforms.

How does Trusted Publishing secure PyPI releases in CI/CD?

Trusted Publishing secures PyPI releases by implementing OIDC-based authentication in CI/CD pipelines for artifact distribution. This eliminates long-lived API tokens, enhancing supply-chain security during automated Python package publishing.

Do I need PEP 517 compliance to build cross-platform wheels?

Yes, PEP 517 compliance is required to build cross-platform wheels using modern build backends. Satisfying PEP 517, 518, and 621 standards ensures your build environment correctly generates platform-independent wheel artifacts.

Can I use uv for dependency management with a src-layout project?

You can use uv for dependency management with a src-layout project by configuring pyproject.toml correctly. This combination enables fast dependency resolution while maintaining a standardized project structure for clean artifact generation.

Why should I use a modern build backend instead of setup.py?

You should use a modern build backend instead of setup.py because it ensures PEP 621 compliance and reproducible builds through declarative metadata. This standardizes artifact distribution and avoids imperative script execution errors in Python projects.