Does this help with the dual-write problem?

Yes, it provides a detailed implementation of the Transactional Outbox pattern to ensure database and broker consistency without distributed transactions.

How does it handle message processing failures?

The skill includes patterns for Dead Letter Queues (DLQ), including retry handlers that distinguish between transient and permanent data anomalies.

What languages does this skill support?

It provides implementation patterns primarily in TypeScript and Java (Spring), covering the most popular ecosystems for modern event-driven development.

Can I use this for CloudEvents standardization?

Absolutely, it includes templates for the CloudEvents 1.0 specification, including JSON data payloads and HTTP/Kafka header bindings.

Event-Driven Architecture Patterns

Name: Event-Driven Architecture Patterns
Author: HermeticOrmus

byHermeticOrmus

0•

API開発

Implements robust event-driven design patterns including transactional outbox, Kafka integration, and schema evolution for distributed systems.

This skill provides Claude with high-fidelity implementation patterns for building resilient, event-driven microservices. It includes standardized templates for CloudEvents, idempotent Kafka consumers, and transactional outbox patterns to prevent data loss. By incorporating best practices for Dead Letter Queues (DLQ) and Avro schema evolution, it helps developers avoid common pitfalls like 'dual-writes' or 'fat events,' ensuring scalable and maintainable asynchronous communication between services across TypeScript and Java environments.

主な機能

01Idempotent Kafka producer and consumer patterns with exactly-once semantics

02Avro schema evolution and registry compatibility for backward-compatible updates

030 GitHub stars

04CloudEvents 1.0 envelope implementation for standardized messaging

05Transactional Outbox pattern implementation to ensure data consistency

06Dead Letter Queue (DLQ) retry logic and monitoring strategies

ユースケース

01Designing reliable asynchronous communication between microservices using Kafka

02Setting up automated retry mechanisms and error handling for message queues

03Implementing the transactional outbox pattern to solve the dual-write problem

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/librearch-claude-code event-driven-patterns

For use in Claude.ai and ChatGPT

主な機能

01Idempotent Kafka producer and consumer patterns with exactly-once semantics

02Avro schema evolution and registry compatibility for backward-compatible updates

030 GitHub stars

04CloudEvents 1.0 envelope implementation for standardized messaging

05Transactional Outbox pattern implementation to ensure data consistency

06Dead Letter Queue (DLQ) retry logic and monitoring strategies

ユースケース

01Designing reliable asynchronous communication between microservices using Kafka

02Setting up automated retry mechanisms and error handling for message queues

03Implementing the transactional outbox pattern to solve the dual-write problem

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/librearch-claude-code event-driven-patterns

For use in Claude.ai and ChatGPT