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python-project-structure

Guide Python project organization, module architecture, and public API design.

Updated Aug 23, 2026
Search Tags:#best practices#api design#project structure#python#code organization#module architecture
One-click install
npx skills add https://github.com/sadroad/.dotfiles --skill python-project-structure-sadroad
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-project-structure
Source: https://github.com/sadroad/.dotfiles/tree/main/modules/home-manager/opencode/skills/python-project-structure
Command: npx skills add https://github.com/sadroad/.dotfiles --skill python-project-structure-sadroad

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of creating well-organized, maintainable, and discoverable Python projects by providing guidance on module architecture, directory layouts, and public API design.

Core Features & Use Cases

  • Module Cohesion: Guides on grouping related code for better maintainability.
  • Explicit Interfaces: Demonstrates using __all__ to define public APIs.
  • Directory Structures: Recommends flat hierarchies and provides examples for test organization.
  • Use Case: When starting a new Python project, use this Skill to establish a robust and scalable project structure from the outset, ensuring clarity and ease of future development.

Quick Start

Organize your new Python project using a flat directory structure with explicit public APIs defined by __all__.

Frequently Asked Questions about python-project-structure

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

FAQPage Schema
What is the best way to organize Python project structure and module architecture?▼

Organizing a Python project effectively requires grouping related code into cohesive modules, adopting flat directory hierarchies, and defining explicit public APIs using `__all__` for better maintainability and discoverability.

How do I define a public API in Python modules?▼

You define a public API in Python modules by assigning a list of module-level object names to the `__all__` variable, which explicitly dictates what is exported when users import the module, establishing clear and consistent public interfaces.

How do I set up directory layouts for a new Python project?▼

Setting up directory layouts for a new Python project involves planning flat hierarchies to avoid deep nesting, grouping related code by module cohesion, and organizing tests consistently to support scalable and maintainable development.

Does code organization affect module maintainability in Python?▼

Code organization directly affects module maintainability in Python by enforcing module cohesion and consistent conventions. Grouping related code logically reduces complexity, making future development and codebase navigation significantly easier.

When should I use flat hierarchies over nested packages for Python project structure?▼

You should use flat hierarchies over deeply nested packages when establishing a Python project structure to simplify module architecture, reduce import path complexity, and improve the overall discoverability of your code.

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