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python-project-structure

Enforce module boundaries and explicit public interfaces in Python projects.

1|Updated Feb 27, 2026
Search Tags:#python#best-practices#project-structure#code-organization#public-api#module-architecture#__all__
One-click install
npx skills add https://github.com/Ferhatr10/rfq-backend --skill python-project-structure-ferhatr10
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-project-structure
Source: https://github.com/Ferhatr10/rfq-backend/tree/main/.agents/skills/python-project-structure
Command: npx skills add https://github.com/Ferhatr10/rfq-backend --skill python-project-structure-ferhatr10

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Python projects often become hard to maintain due to unclear module boundaries and vague public interfaces. This skill provides a blueprint for organizing code, delineating public APIs with explicit interfaces, and choosing an effective directory layout.

Core Features & Use Cases

  • Module boundaries: Define clear module boundaries to keep related code cohesive and maintainable.
  • Explicit public interfaces: Use all to control what is publicly exposed and hide internals.
  • Directory layout guidance: Prefer flat, predictable layouts to simplify imports and navigation.
  • Use cases include starting a new Python project, refactoring an existing codebase, and planning a public API.

Quick Start

Outline your project with a minimal src/ layout and define public APIs using all.

Frequently Asked Questions about python-project-structure

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

FAQPage Schema
How do I organize a Python project structure to keep modules maintainable?▼

Organize a Python project structure by enforcing clear module boundaries and preferring flat, predictable directory layouts. This approach simplifies navigation and imports, ensuring related code remains cohesive across modules, packages, and tests.

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

The best way to define a public API in Python is by using the __all__ variable. Explicitly listing public interfaces in __all__ controls what is exposed to users while effectively hiding internal implementation details.

When should I use a flat directory layout for my Python codebase?▼

Use a flat directory layout for your Python codebase when starting a new project or refactoring an existing one. Flat layouts simplify imports and navigation, making the project structure predictable and easier to maintain.

Can I use this Python module architecture for refactoring existing code?▼

Yes, you can apply this Python module architecture to refactoring existing codebases. It provides a blueprint for delineating public APIs and establishing clear boundaries to resolve disorganized project structures.

Why does defining __all__ help with code organization in Python?▼

Defining __all__ helps with code organization by explicitly separating public interfaces from internal logic. This prevents accidental imports of private modules, keeping your project's API predictable and maintainable.

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