What is the primary goal of these architecture patterns?

The primary goal is the separation of concerns, ensuring that business rules (the domain) are not dependent on external factors like databases, UI frameworks, or third-party APIs.

Can I apply these patterns to languages other than Python?

Yes. While the skill includes Python examples, the principles of Clean Architecture and DDD are language-agnostic and applicable to Java, C#, Go, Node.js, and more.

How does this skill improve unit testing?

By using Ports and Adapters (interfaces), the skill allows you to isolate core logic. You can easily swap real database adapters for mocks during testing without changing the business code.

When should I avoid using these complex patterns?

For simple CRUD applications, prototypes, or small scripts, these patterns may introduce unnecessary boilerplate. They are best suited for complex systems where long-term maintainability is a priority.

Backend Architecture Patterns

Name: Backend Architecture Patterns
Author: HermeticOrmus

byHermeticOrmus

Desarrollo de API

Implements industry-standard backend design patterns like Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to ensure system maintainability.

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This skill empowers Claude to architect complex backend systems using proven structural patterns including Clean Architecture, Hexagonal Architecture (Ports and Adapters), and Domain-Driven Design (DDD). It provides standardized directory structures, enforces clear separation of concerns, and ensures that core business logic remains independent of external frameworks or databases. By applying these patterns, developers can build systems that are easier to test, scale, and refactor, making it an essential tool for both greenfield projects and the modernization of legacy monolithic applications.

Características Principales

Implementation of Clean and Hexagonal Architecture patterns
Repository and Port/Adapter pattern code templates
0 GitHub stars
Framework-independent core business logic enforcement
Domain-Driven Design (DDD) tactical and strategic patterns
Standardized directory structures for layered backend projects

Casos de Uso

Establishing testable backend systems using mocked external dependencies
Designing new microservices with clear domain boundaries and ubiquitous language
Refactoring tightly coupled monolithic applications into maintainable layers

Acerca de

Características Principales

Implementation of Clean and Hexagonal Architecture patterns
Repository and Port/Adapter pattern code templates
0 GitHub stars
Framework-independent core business logic enforcement
Domain-Driven Design (DDD) tactical and strategic patterns
Standardized directory structures for layered backend projects

Casos de Uso

Establishing testable backend systems using mocked external dependencies
Designing new microservices with clear domain boundaries and ubiquitous language
Refactoring tightly coupled monolithic applications into maintainable layers