Can it help with distributed transactions?

Yes, it includes detailed implementation patterns for the Saga pattern to manage data consistency across services using orchestrators and compensating transactions.

Does it include error handling for distributed systems?

Yes, it implements critical resilience patterns like Circuit Breakers, Bulkheads, and Retries with Exponential Backoff to prevent cascading failures.

How does this skill help with monolithic decomposition?

It provides strategies like the Strangler Fig pattern and DDD-based subdomain mapping to gradually extract services and define clear domain-driven boundaries.

What communication protocols does it support?

The skill covers both synchronous (REST, gRPC) and asynchronous (Kafka, RabbitMQ) communication patterns, including best practices for each.

Microservices Architecture Patterns

Name: Microservices Architecture Patterns
Author: ai-pilo

byai-pilo

API Development

Implements robust microservices architectures using proven design patterns for service boundaries, event-driven communication, and distributed system resilience.

About

This skill provides a comprehensive framework for architecting distributed systems with Claude Code. It focuses on critical microservices patterns including service decomposition by business capability, synchronous and asynchronous communication strategies, and complex data management techniques like the Saga pattern. It also implements essential resilience patterns such as Circuit Breakers and Retries with Backoff to ensure system stability. Ideal for developers decomposing monolithic applications or building scalable, event-driven backend infrastructures.

Key Features

Distributed transaction management with the Saga pattern
Event-driven communication patterns using Kafka and message queues
0 GitHub stars
Service decomposition via Business Capability and DDD Subdomains
Implementation of API Gateways with Circuit Breaker support
Resilience patterns including Retries with Exponential Backoff

Use Cases

Decomposing a legacy monolith into scalable microservices
Implementing eventual consistency and distributed data management
Designing reliable inter-service communication for distributed systems

About

Key Features

Distributed transaction management with the Saga pattern
Event-driven communication patterns using Kafka and message queues
0 GitHub stars
Service decomposition via Business Capability and DDD Subdomains
Implementation of API Gateways with Circuit Breaker support
Resilience patterns including Retries with Exponential Backoff

Use Cases

Decomposing a legacy monolith into scalable microservices
Implementing eventual consistency and distributed data management
Designing reliable inter-service communication for distributed systems