architecture-patterns

Explain backend architectural patterns with Python code examples.

11|4|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/wpank/ai --skill architecture-patterns-wpank
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: architecture-patterns
Source: https://github.com/wpank/ai/tree/main/skills/backend/architecture-patterns
Command: npx skills add https://github.com/wpank/ai --skill architecture-patterns-wpank

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides clear guidance and implementation patterns for designing backend systems that are maintainable, testable, and scalable, addressing the common challenges of complex software architecture.

Core Features & Use Cases

  • Architectural Guidance: Understand and choose between Clean Architecture, Hexagonal Architecture, and Domain-Driven Design.
  • Implementation Examples: See practical Python code examples for entities, ports, use cases, and adapters.
  • Decision Framework: Learn when to apply each pattern based on project needs.
  • Use Case: A team is starting a new backend project and needs to decide on an architecture that will support long-term maintainability and testability. They use this Skill to compare patterns and select the best fit.

Quick Start

Use the architecture-patterns skill to explain the core principles of Clean Architecture.

Frequently Asked Questions about architecture-patterns

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

FAQPage Schema
What is the difference between Clean Architecture and Hexagonal Architecture for backend development?

Clean Architecture organizes code into concentric dependency layers, while Hexagonal Architecture isolates business logic using ports and adapters. This Skill explains both patterns and provides Python examples to help you choose the right structure for your backend.

How do I implement Domain-Driven Design aggregates and value objects in Python?

You implement DDD aggregates and value objects by defining pure Python classes that encapsulate business rules without framework dependencies. This Skill provides practical Python code examples for creating these domain entities and repositories.

When should I use Hexagonal Architecture in my software design?

You should use Hexagonal Architecture when you need to isolate core business logic from external interfaces like databases or APIs. This Skill provides a decision framework to determine if Ports and Adapters suits your project's maintainability and testing needs.

How do I structure backend use cases and dependency injection for scalable systems?

Structure backend use cases by defining application-specific ports and injecting adapter implementations at runtime. This Skill demonstrates how to wire use cases, repositories, and dependency injection to build maintainable, testable systems.

Is Domain-Driven Design necessary for maintaining a testable backend architecture?

Domain-Driven Design is not strictly necessary but highly beneficial for complex backend systems. This Skill outlines how DDD concepts like aggregates and entities enhance testability and maintainability, helping you decide if it fits your project scope.