message-queue

Design message-queue architectures with topic schemas and idempotent producers and consumers.

3|Updated May 28, 2026

Search Tags:#idempotent #event-driven #asynchronous #throughput #message-queue #schema-design #dead-letter-queue

Ready to run

npx skills add https://github.com/mahg-es/araya --skill message-queue

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: message-queue
Source: https://github.com/mahg-es/araya/tree/main/skills/message-queue
Command: npx skills add https://github.com/mahg-es/araya --skill message-queue

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synchronous service calls create tight coupling and cascading failures. Message queues decouple producers and consumers in time and space, enabling resilient, observable, and scalable architectures.

Core Features & Use Cases

Design and select queue technology based on throughput, ordering guarantees, replay, and operations.
Define topics/queues, message schemas, and producer/consumer patterns for reliable delivery.
Use cases include event-driven microservices, buffering for high throughput, and gradual architectural evolution.

Quick Start

Identify events, choose a queue technology, define topics and schemas, and implement idempotent producers and consumers.

Frequently Asked Questions about message-queue

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I decouple microservices using a message queue to prevent cascading failures?▼

A message queue decouples synchronous microservices in time and space by enabling asynchronous, event-driven communication. This architecture buffers high throughput, prevents cascading failures, and promotes reliable, observable service delivery.

What is the best way to design message schemas and topics for high-throughput event-driven systems?▼

Designing robust message schemas and topics requires clear schema versioning and defined producer/consumer patterns. This approach ensures reliable delivery and observability for high-throughput event-driven architectures.

How do I implement idempotent producers and consumers in an asynchronous messaging architecture?▼

Idempotent producers and consumers are implemented by defining strict message schemas and delivery patterns within the queue architecture. This guarantees reliable message processing and prevents duplicate side effects in asynchronous systems.

When do I need a dead-letter queue for backpressure handling in message queues?▼

A dead-letter queue is needed when backpressure handling fails to process messages within the standard queue architecture. It captures failed messages to maintain system reliability and observability during high-throughput events.

How does schema versioning work when selecting queue technology for event-driven microservices?▼

Schema versioning in queue technology selection ensures message compatibility across decoupled services. Defining topics and versioned schemas allows producers and consumers to evolve independently without breaking asynchronous communication.

Does this message queue approach support gradual architectural evolution from synchronous service calls?▼

Yes, implementing message queues supports gradual architectural evolution from synchronous service calls. By identifying events and defining topic schemas, you can transition to asynchronous, decoupled microservices while maintaining reliability.