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architecture-patterns

Implement Clean Architecture, Hexagonal Architecture, and Domain-Driven Design with Python code examples.

1|Updated Feb 24, 2026
Search Tags:#scalability#maintainability#ddd#hexagonal architecture#clean architecture#software patterns#backend design
One-click install
npx skills add https://github.com/xurenlu/marstaff --skill architecture-patterns-xurenlu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: architecture-patterns
Source: https://github.com/xurenlu/marstaff/tree/main/skills/architecture-patterns
Command: npx skills add https://github.com/xurenlu/marstaff --skill architecture-patterns-xurenlu

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides guidance and examples for implementing robust, maintainable, and scalable backend systems using established architectural patterns.

Core Features & Use Cases

  • Pattern Implementation: Demonstrates Clean Architecture, Hexagonal Architecture, and Domain-Driven Design (DDD).
  • Code Examples: Provides Python code snippets for entities, use cases, repositories, and controllers.
  • Use Case: When designing a new microservice or refactoring a monolith, use this Skill to understand and apply best practices for structuring your code, ensuring long-term maintainability and testability.

Quick Start

Review the Clean Architecture pattern section to understand its directory structure and core principles.

Frequently Asked Questions about architecture-patterns

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

FAQPage Schema
How do I structure a Python backend using Clean Architecture?▼

Implement Domain-Driven Design in Python by defining clear entities and use cases. This Skill provides code examples for structuring domain logic, repositories, and controllers to improve maintainability and testability.

When should I use Hexagonal Architecture for refactoring a monolith?▼

Use Hexagonal Architecture when refactoring a monolith to isolate business logic from external systems via ports and adapters. This pattern improves testability and maintainability for complex backend applications.

What is the best way to apply DDD patterns in a scalable backend system?▼

Apply DDD patterns in a scalable backend by modeling core domains explicitly using Python entities and repositories. This approach ensures robust, maintainable software architecture.

Does this architectural pattern guidance include Python code examples for repositories?▼

Yes, this guidance includes Python code examples for repositories, controllers, entities, and use cases, demonstrating how to implement Clean Architecture and DDD for backend systems.

Why use Clean Architecture over standard backend design for maintainability?▼

Use Clean Architecture over standard backend design to decouple dependencies and isolate business rules. This separation improves long-term maintainability and testability of complex software systems.

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