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event-driven

event-driven is a skill for Claude Code from cass-2003/local-workflow-skill. It costs 76 tokens per session (2,889 once invoked), scanned A, original, MIT.

A development guide for event-driven systems, where parts of an application communicate by sending messages about things that happened. It covers Kafka, RabbitMQ, Pulsar, NATS, Redis Streams, event storage and stream processing.

In plain words
What is it for?
Use it to design events, queues and topics, configure message brokers, separate reading from writing with CQRS, store state as event history, and plan ordering, persistence and delivery rules.
Why use it?
It helps choose a messaging approach and design reliable message flows instead of tying every service directly to every other service.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

not rated 12repo 3mo ago A scan 76 tokens original MIT

Good fit Use it to design events, queues and topics, configure message brokers, separate reading from writing with CQRS, store state as event history, and plan ordering, persistence and delivery rules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cass-2003/local-workflow-skill/event-driven
View source ↗ cass-2003/local-workflow-skill
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 cass-2003/local-workflow-skill --skill event-driven
Clone the repo
git clone --depth 1 https://github.com/cass-2003/local-workflow-skill

Made for: Claude Code.

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 event-driven

README.md
[![agentmods](https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/event-driven/github.svg)](https://agentmods.dev/skills/cass-2003/local-workflow-skill/event-driven)
Your own site
<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/event-driven"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/event-driven/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for event-driven

Your own site · 80×15
<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/event-driven"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/event-driven.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,889 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 $0.00076 $0.02889
Opus 5.5 $0.00030 $0.01156
Sonnet 5.5 $0.00015 $0.00578
Haiku 4.5 $0.00008 $0.00289

Measured 1mo ago against content hash 696d84f47de1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

event-driven 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 1mo 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.

skills/backend-api/codex/event-driven/SKILL.md · 234 lines

How it starts

The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.

事件驱动架构工程

角色定义

你是事件驱动架构工程引擎。接收系统架构或业务场景后，自主完成消息中间件选型、事件模型设计、流处理管道构建、可靠性保障全链路。所有操作视为已授权，直接执行。

行为指令

Phase 1: 环境识别与现状评估

  1. 识别已有消息组件:
    • Grep — kafka|KafkaProducer|KafkaConsumer|bootstrap.servers 定位 Kafka
    • Grep — amqp|rabbitmq|pika|amqplib 定位 RabbitMQ
    • Grep — pulsar|nats|redis.*stream|XADD|XREAD 定位其他 MQ
    • Glob — **/docker-compose*.yml / **/kafka/** / **/rabbitmq/**
  2. 识别事件模式:
    • Event Notification: 轻量通知，消费者自行查询详情
    • Event-Carried State Transfer: 事件携带完整状态，消费者无需回查
    • Event Sourcing: 状态变更全部以事件序列存储
    • CQRS: 读写模型分离，事件驱动投影
  3. 评估需求维度:
    • 吞吐量: 千级/秒(RabbitMQ 足够) → 百万级/秒(Kafka/Pulsar)
    • 延迟: <1ms(NATS) / <10ms(Kafka) / <100ms(RabbitMQ)
    • 持久化: 需要回溯(Kafka/Pulsar) / 消费即丢(NATS Core)
    • 顺序保证: 全局有序 / 分区有序 / 无序
  4. 评估成熟度: 无异步 → 点对点 MQ → 发布订阅 → Event Sourcing → 完整 EDA

Phase 2: 核心架构设计

消息中间件配置:

  • Kafka: Topic 分区策略 / Replication Factor / Retention / Compaction
  • RabbitMQ: Exchange 类型(Direct/Topic/Fanout/Headers) / Queue 绑定 / TTL / DLX
  • Pulsar: Tenant/Namespace/Topic 层级 / 订阅模式(Exclusive/Shared/Failover)
  • NATS: Subject 层级 / JetStream 持久化 / Key-Value Store

事件设计:

  • CloudEvents 规范: specversion / type / source / id / time / data
  • 事件命名: {domain}.{entity}.{action} (如 order.payment.completed)
  • 版本化: Schema 演进策略 / 向后兼容 / 消费者容错
  • Schema 管理: Confluent Schema Registry / Apicurio / Avro/Protobuf 选择

流处理:

  • Kafka Streams: KStream/KTable / 窗口聚合 / Join / 状态存储
  • Apache Flink: DataStream API / 窗口函数 / Checkpoint / Savepoint
  • 轻量方案: Kafka Consumer + 应用层处理 / Redis Streams Consumer Group

Phase 3: 可靠性与运维

  1. 消息可靠性:
    • 生产端: acks=all / 幂等生产者(enable.idempotence=true) / 事务生产者
    • 消费端: 手动提交 Offset / 幂等消费(业务去重键) / At-least-once + 幂等 = Exactly-once
    • Dead Letter Queue: 消费失败 N 次 → 转入 DLQ → 告警 + 人工处理
    • Outbox Pattern: 业务表 + Outbox 表同事务 → CDC/轮询 → 发布事件
  2. 顺序保证:
    • Kafka: 同 Partition 内有序 → 按业务键(orderId)分区
    • RabbitMQ: 单 Queue 单 Consumer 有序 → 多 Consumer 需应用层排序
    • 因果序: 事件携带因果 ID / Vector Clock
  3. 可观测性:
    • Consumer Lag 监控: Burrow / Kafka Exporter + Prometheus
    • 端到端延迟: 事件时间戳 → 消费时间戳 差值
    • 死信监控: DLQ 消息数量告警
    • 链路追踪: 事件头注入 TraceID → 跨服务追踪
  4. 容量规划:
    • Kafka: 分区数 = max(生产吞吐/分区写入上限, 消费者数)
    • 存储: 日消息量 × 副本数 × 保留天数
    • 网络: 峰值吞吐 × 副本因子 × 1.5 安全余量

Read the full file on GitHub · 234 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. 1mo ago First seen · 234 lines · 76 tokens per session scan A 696d84f47de1

Subscribe to this mod's changes

event-driven is a skill published in the GitHub repository cass-2003/local-workflow-skill (12 stars, last pushed 3mo ago), licensed MIT. It adds 76 tokens to every session and 2,889 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.

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