Event-Driven Architect Skill: Designing Resilient Async Systems

Where this fits

You're a backend developer moving a payment service from synchronous REST calls to asynchronous processing. You need to guarantee no events are lost, maintain per-customer ordering, and handle retries without duplicating charges. The event-driven-architect skill steps in to design the full topology—schemas, partitioning, idempotency, and dead-letter queues—so you don't have to reinvent the wheel.

Why agents benefit

• Generates CloudEvents-compliant schemas with proper event types, versions, and payloads, reducing design drift.
• Recommends partitioning strategies (e.g., customerId) to preserve FIFO ordering per entity, critical for stateful consumers.
• Suggests idempotency mechanisms—tracking eventId or business keys in Redis/Postgres—to make consumers safe against replays.
• Designs transactional outbox patterns with Debezium or polling, preventing dual-write inconsistencies when the broker is down.
• Defines DLQ retry policies with exponential backoff and dead-letter routing, so failures don't stall the pipeline.

Practical scenarios

Migrating a payment service to event-driven processing

Your current flow calls a payment API synchronously, blocking the user. The skill maps out a Kafka topic structure, suggests a transactional outbox to publish payment events, and sets up an idempotent consumer that dedupes by paymentId. It also configures a DLQ for failed payment notifications.

Designing a multi-tenant event stream

You need to isolate events per tenant while keeping ordering. The skill recommends partition keys like tenantId and explains how to scale consumer groups without breaking ordering. It also outlines a schema registry strategy to evolve event versions without breaking downstream consumers.

Handling retries and dead-letter queues

Your consumers occasionally fail due to transient network issues. The skill generates a retry policy with exponential backoff and a DLQ for permanent failures. It also suggests monitoring and alerting on DLQ depth, so you catch issues early.

Add it to your agent workflow

Install the skill with:

npx skills add codebygarv/Ai-skills --skill event-driven-architect

Then ask your agent: "Design an event-driven flow for order processing using Kafka, with idempotent consumers and a DLQ." The skill will produce a detailed architecture, including topic names, partition keys, and consumer group configurations.

Compare before adopting

Before committing, evaluate the skill's quality signals: does it keep pace with CloudEvents spec updates and broker best practices? Check maintenance freshness—recent commits and issue responses. Compare with alternatives like generic architecture prompts or other EDA skills. Ensure it fits your workflow: does it integrate with your preferred broker (Kafka, RabbitMQ, SQS)?

Why it is worth tracking

With 21 stars and an active author, this skill shows early community momentum. It addresses a real pain point—moving from sync to async without losing data—and provides concrete, actionable patterns. Track it if you're building event-driven systems; evaluate it when your team starts adopting EDA and needs a consistent, battle-tested design baseline. For more context, see the skill page on OpenAgentSkill.