Build messaging with Kafka, RabbitMQ, Redis Pub/Sub, and AWS SQS.
Messaging Systems is one of 70 specialized agent skills built into the Multos AI platform. When you describe a task related to realtime, this skill activates automatically — bringing domain-specific knowledge about message queue, kafka, rabbitmq, event driven directly into your development workflow.
Generates message queue architectures using RabbitMQ, AWS SQS/SNS, or Kafka. Handles producer/consumer patterns, dead letter queues, message ordering, exactly-once processing with idempotency, and fan-out/fan-in topologies for event-driven systems.
// SQS consumer with proper error handling
async function processMessages() {
const { Messages } = await sqs.receiveMessage({
QueueUrl: QUEUE_URL, MaxNumberOfMessages: 10, WaitTimeSeconds: 20
});
for (const msg of Messages || []) {
try {
await handleMessage(JSON.parse(msg.Body));
await sqs.deleteMessage({ QueueUrl: QUEUE_URL, ReceiptHandle: msg.ReceiptHandle });
} catch (e) {
logger.error('Processing failed', { messageId: msg.MessageId, error: e });
// Message returns to queue after visibility timeout
}
}
}An e-commerce platform decoupled their order processing: SNS publishes order events, SQS queues for inventory/shipping/notifications each consume independently, dead letter queues catch failures, and a saga orchestrator handles distributed rollbacks.
The Messaging Systems skill is a specialized AI capability within Multos AI that build messaging with kafka, rabbitmq, redis pub/sub, and aws sqs. It activates automatically when your prompt relates to realtime tasks, providing expert-level guidance and production-ready code.
No. Multos AI uses intent detection to activate the Messaging Systems skill automatically when your request involves message queue. There's no setup, no plugins to install, and no configuration files to manage.
All 33 models on Multos AI can leverage the Messaging Systems skill. For complex realtime tasks, we recommend models with larger context windows like Claude Opus 4.6 (1M tokens) or Gemini 3.1 Pro (1M tokens). For quick iterations, faster models like GPT-5.4 Mini or Claude Haiku 4.5 work well.
Yes. You can connect your GitHub, GitLab, or Bitbucket repository to Multos AI and the Messaging Systems skill will work with your existing codebase. It understands your project structure, dependencies, and coding patterns to provide contextual assistance.
Yes, all 70 agent skills including Messaging Systems are available on every plan. Free users get access to lite-tier models, while paid plans unlock more powerful models for complex realtime tasks.
One of 70 expert skills that activate automatically. Start building now.
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