How does it handle distributed data consistency?

It provides implementation patterns for the Saga pattern (both orchestration and choreography) to manage transactions across multiple service-specific databases.

Does this skill help with system reliability?

Yes, it includes core resilience patterns such as Circuit Breaker, Bulkhead isolation, and Retry with exponential backoff to prevent cascading failures.

Is this skill limited to specific programming languages?

While the examples are in Python, the architectural patterns and design principles are language-agnostic and can be applied to any backend technology stack.

What decomposition strategies does this skill support?

It supports various strategies including decomposition by business capability, Domain-Driven Design (DDD) subdomains, and the Strangler Fig pattern for gradual monolith migration.

Microservices Patterns

Name: Microservices Patterns
Author: kivilaid

bykivilaid

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API Development

Designs robust distributed systems using industry-standard microservices architecture patterns and resilience strategies.

About

This skill equips Claude with the expertise to architect scalable microservices ecosystems, moving beyond simple API design to tackle complex challenges like service decomposition, distributed data consistency, and failure management. It provides practical patterns for decomposing monoliths via the Strangler Fig approach, implementing the Saga pattern for cross-service transactions, and applying resilience patterns like circuit breakers to prevent cascading failures in production environments. Whether you are building from scratch or migrating a legacy system, this skill ensures your architecture follows best practices for decoupling and maintainability.

Key Features

Service decomposition based on Domain-Driven Design (DDD) principles
Distributed transaction management through the Saga pattern and compensating actions
Resilience pattern implementation including Circuit Breakers and Retries
6 GitHub stars
Implementation of asynchronous event-driven communication using message brokers
API Gateway orchestration and service aggregation strategies

Use Cases

Decomposing a legacy monolith into independent, scalable microservices
Implementing reliable cross-service workflows with eventual consistency
Building fault-tolerant systems capable of handling partial network or service failures

About

Key Features

Service decomposition based on Domain-Driven Design (DDD) principles
Distributed transaction management through the Saga pattern and compensating actions
Resilience pattern implementation including Circuit Breakers and Retries
6 GitHub stars
Implementation of asynchronous event-driven communication using message brokers
API Gateway orchestration and service aggregation strategies

Use Cases

Decomposing a legacy monolith into independent, scalable microservices
Implementing reliable cross-service workflows with eventual consistency
Building fault-tolerant systems capable of handling partial network or service failures