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Message Queues Agent Skill

RabbitMQ, Kafka, SQS, pub/sub, competing consumers, dead letter queues, and event streaming

534 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
365
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/cosmicstack-labs/mercury-agent-skills --skill message-queues

The instruction itself

11 sections, as written by the author

Message Queues

Design reliable message-driven systems.

Queue Types

| Queue | Persistence | Ordering | Use Case |

|-------|------------|----------|----------|

| RabbitMQ | Optional | Per queue | Task distribution, RPC |

| Apache Kafka | Durable (disk) | Per partition | Event streaming, logs |

| AWS SQS | Durable | Best effort (std) / Strict (FIFO) | Serverless decoupling |

| Redis Pub/Sub | None | Per channel | Real-time notifications |

RabbitMQ Patterns

Work Queues (Competing Consumers)

Producer → Queue → Consumer 1
                 → Consumer 2
                 → Consumer 3
  • Messages distributed round-robin
  • Ack on success, nack on failure (requeue or DLQ)
  • Prefetch count controls concurrency

Pub/Sub (Exchange → Binding → Queue)

  • Fanout: broadcast to all queues
  • Direct: route by routing key
  • Topic: route by pattern (user.*, user.created)
  • Headers: route by header values

Kafka Patterns

Topics & Partitions

  • Messages within a partition are ordered
  • Partitions enable parallelism
  • Consumer group = one instance per partition

Producer

await producer.send({
  topic: 'order-events',
  messages: [{ key: orderId, value: JSON.stringify(order) }],
});

Consumer

await consumer.run({
  eachMessage: async ({ topic, partition, message }) => {
    await processOrder(message.value);
  },
});

Dead Letter Queues

  • Messages that can't be processed go to DLQ
  • Analyze DLQ periodically for systemic issues
  • DLQ messages can be replayed after fix
  • Set max retry count before DLQ

Best Practices

  • Idempotent consumers (same message processed twice = safe)
  • Monitor queue depth, consumer lag, error rate
  • Set message TTL to prevent infinite backlog
  • Use structured message schemas (Avro, Protobuf)
  • Test with network failures and consumer crashes

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How to use it

Copy the folder

Take cosmicstack-labs/message-queues from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.