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python-project-structure

Organize Python projects with module design and package boundaries.

Updated Jul 7, 2026
Search Tags:#code quality#python#software architecture#code organization#project layout
One-click install
npx skills add https://github.com/voidrot/agents --skill python-project-structure-voidrot
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-project-structure
Source: https://github.com/voidrot/agents/tree/main/skills/python/python-project-structure
Command: npx skills add https://github.com/voidrot/agents --skill python-project-structure-voidrot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill assists in creating a structured and organized Python project layout, improving code maintainability and scalability.

Core Features & Use Cases

  • Project Organization: Helps determine the most effective layout for a new project or reorganize an existing codebase.
  • Guidance for Imports and APIs: Provides instructions on creating explicit public APIs, managing imports, and defining __all__.
  • Domain-Driven Architecture: Offers strategies for structuring code based on business domains, enhancing readability and maintainability.

Quick Start

Apply the python-project-structure skill to start structuring your Python project by identifying key components like src, tests, and config directories.

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 a Python project layout for maintainability?▼

Organizing a Python project layout involves separating source code, tests, and configuration directories while defining explicit public APIs and package boundaries to enhance maintainability and scalability.

How do I structure Python package boundaries and manage imports?▼

Structure Python package boundaries by defining explicit public APIs, managing imports efficiently, and using `__all__` to specify exposed modules, ensuring clear domain-driven architecture boundaries.

Can I use domain-driven architecture to reorganize an existing Python codebase?▼

Yes, you can apply domain-driven architecture strategies to reorganize existing Python codebases by restructuring code based on business domains to enhance readability and maintainability.

Do I need familiarity with Python packaging conventions to structure my project?▼

Yes, structuring a Python project requires familiarity with Python packaging conventions and basic project architecture principles to effectively design modules and define package boundaries.

What goes into the src, tests, and config directories when structuring Python projects?▼

When structuring Python projects, the src directory holds source code, tests contains testing modules, and config manages configurations, creating a scalable and maintainable project layout.

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