python-project-structure

Name: python-project-structure
Availability: InStock
Author: jhabbig

Organize Python project structures with explicit module boundaries and public APIs.

Updated Apr 5, 2026

Search Tags:#python #project-structure #test-organization #public-api #module-architecture #absolute-imports #package-layout

Ready to run

npx skills add https://github.com/Jhabbig/Habbig --skill python-project-structure-jhabbig

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-project-structure
Source: https://github.com/Jhabbig/Habbig/tree/main/.claude/plugins/wshobson/python-development/skills/python-project-structure
Command: npx skills add https://github.com/Jhabbig/Habbig --skill python-project-structure-jhabbig

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you design clean Python project structures that stay understandable as code grows, so modules, tests, and public interfaces are easier to maintain.

Core Features & Use Cases

Define shallow, coherent directory layouts for packages and applications.
Clarify public APIs with explicit exports and package initialization.
Organize code by layer or by domain, depending on project complexity.
Use it when starting a new Python library, refactoring an existing repository, or standardizing tests and imports across a team.

Quick Start

Ask for a Python project structure that groups related modules, exposes only the intended public API, and keeps imports and tests consistent.

Frequently Asked Questions about python-project-structure

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

FAQPage Schema

How do I structure a Python project to keep imports and tests maintainable?▼

Structure Python projects by adopting flat directory hierarchies, reliable absolute imports, and consistent test placement. This approach clarifies module boundaries and keeps codebases understandable as they scale, preventing circular dependencies and import errors.

What is the best way to define a public API in a Python package?▼

Define a public API in a Python package by using explicit interfaces with __all__ and careful package initialization. This restricts exposed modules, hides internal implementation details, and provides a stable, predictable interface for downstream consumers.

When should I organize Python code by layer versus by domain?▼

Organize Python code by layer for simpler applications and switch to domain-driven architecture as project complexity grows. Structuring by domain groups related business logic together, making large repositories easier to navigate and maintain.

How to refactor an existing Python repository for better module architecture?▼

Refactor an existing Python repository by flattening directory layouts, standardizing absolute imports, and enforcing explicit module boundaries. This process reorganizes tests and public interfaces to achieve a cleaner, more maintainable package structure.

Does structuring Python projects with flat directory hierarchies work for large codebases?▼

Yes, flat directory hierarchies work for large codebases when combined with coherent module boundaries and domain-driven organization. This layout prevents deeply nested packages, keeping Python project structures understandable and imports reliable.

Why do I need to standardize test placement in my Python project layout?▼

Standardizing test placement in your Python project layout ensures tests are discoverable and separated from production code. Consistent test organization maintains architectural integrity and simplifies continuous integration across teams.