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python

Standardize Python project layouts with uv and msgspec data models.

Updated Aug 23, 2026
Search Tags:#python#uv#coding-standards#project-structure#src-layout#msgspec
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Please help me install this Agent Skill.
Skill: python
Source: https://github.com/Alpha-Innovation-Labs/opennexus/tree/main/.nexus/ai_harness/rules/python
Command: npx skills add https://github.com/Alpha-Innovation-Labs/opennexus --skill python-alpha-innovation-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manages and standardizes Python project layouts to ensure consistent environment, entry points, and data modeling practices across the codebase. A single, predictable structure reduces onboarding time and prevents ad-hoc configurations.

Core Features & Use Cases

  • Enforces uv as the centralized tool for environment, dependency, and run management.
  • Requires all runnable entry points to be declared in pyproject.toml under [project.scripts].
  • Promotes a src/ layout to keep implementation code isolated and organized.
  • Standardizes data models by using msgspec.Struct for lightweight, fast, type-safe models.
  • Minimizes relative imports and promotes explicit module boundaries.

Quick Start

Organize a Python project under src/, configure uv for runs, and declare entry points in pyproject.toml.

Frequently Asked Questions about python

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

FAQPage Schema
How do I standardize Python project structure with uv and src layout?▼

Standardize a Python project structure by configuring uv for environment management, enforcing a src/ layout for code, and declaring entry points in pyproject.toml. This ensures consistent project organization across teams.

What is the best way to manage Python entry points and dependencies with uv?▼

The best way to manage Python entry points with uv is to declare all runnable scripts under [project.scripts] in pyproject.toml. Use uv as the centralized tool for dependency and run management.

How do I configure msgspec for type-safe data models in a Python project?▼

Configure msgspec for type-safe data models by using msgspec.Struct for lightweight and fast structured data. This standardizes data modeling practices across the codebase, ensuring consistent type validation.

Why should I use src layout over relative imports in Python projects?▼

Using the src/ layout over relative imports ensures implementation code stays isolated and organized. It minimizes relative imports, promotes explicit module boundaries, and prevents top-level code outside src/.

Does uv work with pyproject.toml for Python environment management?▼

Yes, uv works directly with pyproject.toml to centralize Python environment, dependency, and run management. It requires all runnable entry points to be declared in the file for predictable execution.

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