What is the Microservices Patterns skill for Claude Code?

It is a specialized extension that provides architectural guidance and implementation patterns for building, scaling, and managing distributed backend systems.

Does it support event-driven architectures?

Absolutely. It provides patterns for asynchronous communication, including event streaming with Kafka and message queuing for robust pub/sub implementations.

Can this skill help me migrate from a monolith?

Yes, it includes specific strategies like the Strangler Fig pattern and business capability decomposition to help you systematically extract services from legacy systems.

How does it handle distributed transactions?

The skill focuses on the Saga pattern, providing logic for both successful execution sequences and compensating actions to maintain data consistency across services.

Microservices Architecture Patterns

Name: Microservices Architecture Patterns
Author: yusoofsh

byyusoofsh

API 开发

Architects scalable distributed systems using proven service decomposition, event-driven communication, and resilience patterns.

关于

This skill provides specialized architectural guidance for building, migrating, and maintaining robust distributed systems. It empowers developers to define clear service boundaries using Domain-Driven Design (DDD), implement complex inter-service communication models, and manage distributed data consistency through patterns like Sagas. Whether you are decomposing a legacy monolith using the Strangler Fig pattern or building a greenfield event-driven system with Kafka, this skill offers implementation-ready patterns for API Gateways, circuit breakers, and fault-tolerant service interactions.

主要功能

API Gateway patterns for request routing, aggregation, and failure handling.
Service decomposition strategies including Domain-Driven Design (DDD) and Strangler Fig.
0 GitHub stars
Synchronous and asynchronous communication patterns using REST, gRPC, and Kafka.
Distributed transaction management via Orchestrated or Choreographed Sagas.
System resilience implementation using Circuit Breaker, Retry, and Bulkhead patterns.

使用场景

Decomposing complex monolithic applications into independent microservices.
Implementing eventual consistency and distributed transactions across service boundaries.
Designing fault-tolerant systems that prevent cascading failures in production.

关于

主要功能

API Gateway patterns for request routing, aggregation, and failure handling.
Service decomposition strategies including Domain-Driven Design (DDD) and Strangler Fig.
0 GitHub stars
Synchronous and asynchronous communication patterns using REST, gRPC, and Kafka.
Distributed transaction management via Orchestrated or Choreographed Sagas.
System resilience implementation using Circuit Breaker, Retry, and Bulkhead patterns.

使用场景

Decomposing complex monolithic applications into independent microservices.
Implementing eventual consistency and distributed transactions across service boundaries.
Designing fault-tolerant systems that prevent cascading failures in production.