Build event-driven APIs with webhooks, Server-Sent Events, and real-time notifications.
Use when building event-driven API architectures.
Trigger with phrases like "add webhooks", "implement events", or "create event-driven API".
Build event-driven API architectures using outbound webhooks, Server-Sent Events (SSE), and message broker integration. Implement event emission from API mutations, event schema registry, subscriber management, delivery guarantees with retry logic, and event sourcing patterns for maintaining a complete audit log of API state changes.
Prerequisites
Message broker: Redis Pub/Sub, RabbitMQ, Apache Kafka, or AWS SNS/SQS
Persistent storage for event log and subscriber registrations (PostgreSQL, MongoDB)
Webhook delivery infrastructure with retry queue (Bull, Celery, or managed service)
Event schema registry for versioned event type definitions
SSE-capable web framework for real-time event streaming to browser clients
Instructions
Identify event-producing operations using Grep and Read, cataloging every API mutation (POST, PUT, PATCH, DELETE) that should emit events, with event type names following resource.action convention (e.g., order.created, user.updated).
Define event schemas for each event type with versioning: include eventId (UUID), eventType, version, (ISO 8601), (service identifier), and (type-specific payload).
timestamp
source
data
Implement the event emitter service that publishes events to the message broker after successful API mutations, using the transactional outbox pattern to ensure events are not lost on application crash.
Build a webhook subscription management API: POST /webhooks (subscribe), GET /webhooks (list), DELETE /webhooks/:id (unsubscribe), with URL validation, event type filtering, and signing secret generation.
Implement webhook delivery with HMAC-SHA256 signed payloads, configurable retry policy (exponential backoff: 1min, 5min, 30min, 2hr, 24hr), and automatic subscription deactivation after consecutive failures.
Add Server-Sent Events endpoint (GET /events/stream) for real-time event delivery to browser clients, with Last-Event-ID support for reconnection and missed event replay.
Create a dead-letter queue for events that exhaust all delivery retry attempts, with alerting and manual replay capability.
Write integration tests covering event emission, webhook delivery with signature verification, SSE stream connection with reconnection, and dead-letter queue behavior.
See ${CLAUDE_SKILL_DIR}/references/implementation.md for the full implementation guide.
Output
${CLAUDE_SKILL_DIR}/src/events/emitter.js - Event emission service with outbox pattern
${CLAUDE_SKILL_DIR}/src/events/schemas/ - Versioned event type schema definitions
${CLAUDE_SKILL_DIR}/src/events/webhooks/ - Webhook delivery, signing, and retry logic
${CLAUDE_SKILL_DIR}/src/routes/webhooks.js - Webhook subscription management API
${CLAUDE_SKILL_DIR}/src/events/dead-letter.js - Dead-letter queue handler with replay
${CLAUDE_SKILL_DIR}/tests/events/ - Event emission and delivery integration tests
Error Handling
Error
Cause
Solution
Event lost on crash
Application crashes between database commit and event publish
Use transactional outbox pattern: write event to outbox table in same transaction, poll and publish separately
Webhook delivery failure
Subscriber endpoint unreachable or returns non-2xx
Retry with exponential backoff; deactivate subscription after 5 consecutive failures; notify subscriber admin
Event ordering violation
Concurrent mutations publish events out of order
Use partition keys (resource ID) for ordered delivery within a partition; accept out-of-order across partitions
SSE connection memory leak
Server accumulates stale SSE connections without cleanup
Implement heartbeat comments (:keepalive\n\n) every 15 seconds; detect and close dead connections
Schema version mismatch
Consumer expects v1 event format but receives v2
Include version field in event envelope; support simultaneous v1/v2 delivery; deprecate old versions with notice
Refer to ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error patterns.
Examples
Order lifecycle events: Emit order.created, order.payment_received, order.shipped, and order.delivered events with order details, enabling downstream services (warehouse, email, analytics) to react asynchronously.
SSE live notifications: Browser client connects to GET /events/stream?types=message.received,order.updated and receives real-time event updates with automatic reconnection and Last-Event-ID replay on network interruption.
Transactional outbox: Write the event record to an outbox table within the same database transaction as the API mutation, then poll the outbox table every 100ms to publish events to Kafka, ensuring at-least-once delivery.
See ${CLAUDE_SKILL_DIR}/references/examples.md for additional examples.