message-queues

message-queues is a skill for Claude Code, Codex from hoangatg/ai-agent-toolkit. It costs 40 tokens per session (714 once invoked), scanned A, original, MIT.

A guide to message queues and event streaming, where services send work or events to be processed later by other services. It covers Kafka, RabbitMQ, SQS, Redis Streams, NATS, and Google Pub/Sub.

In plain words
What is it for?
Use it to choose a queue system, distribute jobs among workers, broadcast events, or handle failed messages.
Why use it?
It helps services work independently, handle background work, and continue operating when another service is busy or unavailable.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to choose a queue system, distribute jobs among workers, broadcast events, or handle failed messages.

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Install with agentmods
npx agentmods add skills/hoangatg/ai-agent-toolkit/message-queues
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hoangatg/ai-agent-toolkit --skill message-queues
Clone the repo
git clone --depth 1 https://github.com/hoangatg/ai-agent-toolkit

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for message-queues

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/message-queues.svg)](https://agentmods.dev/skills/hoangatg/ai-agent-toolkit/message-queues)
Your own site
<a href="https://agentmods.dev/skills/hoangatg/ai-agent-toolkit/message-queues"><img src="https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/message-queues.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 714 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00714
Opus 5 $0.00020 $0.00357
Sonnet 5 $0.00008 $0.00143
Haiku 4.5 $0.00004 $0.00071

Measured 4d ago against content hash 27beb3a6f7d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

message-queues scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agent/skills/message-queues/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Message Queues

Decouple everything. Process asynchronously. Scale independently.


1. Technology Selection

Technology Best For Model
Kafka High throughput, event streaming Log-based
RabbitMQ Complex routing, traditional MQ Broker-based
AWS SQS Managed, serverless Queue
Redis Streams Lightweight, already using Redis Log-based
NATS Lightweight, cloud-native Pub/Sub
Google Pub/Sub Managed, GCP ecosystem Topic-based

2. Pattern Selection

Pattern Use When
Point-to-Point One producer, one consumer
Pub/Sub One event, many consumers
Fan-Out Broadcast to all consumers
Work Queue Distribute work across workers
Request-Reply Async request with response
Dead Letter Queue Handle failed messages

3. Kafka Patterns

Concept Purpose
Topics Category of messages
Partitions Parallelism unit
Consumer Groups Scale consumers independently
Offset Track consumption position
Compaction Keep latest per key

Partition Strategy

Strategy Use Case
Key-based Order guarantee per entity
Round-robin Even distribution
Custom Business-specific routing

4. Message Design

Principle Application
Schema Use Avro/Protobuf, not raw JSON
Idempotent Safe to process twice
Self-contained Include all needed data
Versioned Schema evolution support
Small Reference large data, don't embed

Message Structure

{
  "id": "uuid",
  "type": "OrderCreated",
  "timestamp": "ISO-8601",
  "source": "order-service",
  "data": { ... },
  "metadata": { "correlationId", "version" }
}

5. Reliability Patterns

Pattern Purpose
At-least-once May duplicate, never lose
At-most-once May lose, never duplicate
Exactly-once Kafka transactions (complex)
Outbox pattern DB + queue atomicity
Retry + DLQ Handle poison messages

Read the full file on GitHub · 108 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 108 lines · 40 tokens per session scan A 27beb3a6f7d0

Subscribe to this mod's changes

message-queues is a skill published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 714 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.