Does it support Domain-Driven Design (DDD)?

Absolutely. It includes patterns for tactical DDD, such as creating immutable Value Objects, identifying Aggregates, and implementing Repositories for data access abstraction.

Can I use this for refactoring existing legacy code?

Yes, the skill is designed to guide the migration from tightly coupled code to modular architectures by identifying domain boundaries and implementing abstraction layers.

How does this architecture improve system testability?

By using Ports and Adapters, the core logic is decoupled from external services like databases or APIs, allowing you to easily swap implementations for mocks during testing.

How does this skill help with Clean Architecture?

It provides standardized templates and logic for separating entities, use cases, and adapters, ensuring dependencies always flow toward the core business rules and remain independent of frameworks.

Is this skill specific to a particular programming language?

While the examples are often in Python, the architectural principles, directory structures, and design patterns are language-agnostic and applicable to any backend environment.

Backend Architecture Patterns

Name: Backend Architecture Patterns
Author: EngineerWithAI

byEngineerWithAI

Desarrollo de API

Implements Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build scalable, testable, and maintainable backend systems.

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This skill provides domain-specific guidance and implementation patterns for building high-quality backend systems using industry-standard architectural frameworks. By leveraging Clean Architecture, Hexagonal Architecture (Ports and Adapters), and Domain-Driven Design (DDD), it helps developers decouple business logic from infrastructure concerns. This approach ensures that your codebase remains technology-agnostic, easy to test, and resilient to change, whether you are refactoring a legacy monolith or architecting a new microservice from the ground up.

Características Principales

Dependency injection patterns for improved unit testing and mocking
Tactical DDD patterns including Entities, Value Objects, and Aggregates
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Clean Architecture implementation with strict inward dependency flow
Standardized directory structures for modular backend organization
Hexagonal Architecture (Ports and Adapters) for infrastructure decoupling

Casos de Uso

Establishing unified architectural standards and ubiquitous language across development teams
Refactoring tightly coupled monolithic applications into maintainable service layers
Designing technology-independent domain cores for new microservices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add engineerwithai/engineerwith-agents architecture-patterns

For use in Claude.ai and ChatGPT

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