vercel-queues

Stream events durably to topics with consumer groups and configurable retries.

246|42|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/vercel-labs/vercel-plugin --skill vercel-queues
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vercel-queues
Source: https://github.com/vercel-labs/vercel-plugin/tree/main/skills/vercel-queues
Command: npx skills add https://github.com/vercel-labs/vercel-plugin --skill vercel-queues

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the need for reliable, scalable, and durable event streaming in serverless applications, enabling robust asynchronous processing and event-driven architectures without the complexity of managing traditional message queues.

Core Features & Use Cases

  • Durable Event Streaming: Publish messages to topics that are durably stored across multiple availability zones.
  • Consumer Groups: Enable independent processing of events with automatic retries, sharding, and at-least-once delivery guarantees.
  • Use Case: Build an order processing system where new orders are published to a 'order-events' topic. Multiple consumer groups can then process these events for fulfillment, notifications, and analytics, ensuring no order is lost even if a processing function fails.

Quick Start

Use the vercel-queues skill to send a message to the 'order-events' topic with order ID '123'.

Frequently Asked Questions about vercel-queues

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement durable event streaming in serverless applications?

Durable event streaming in serverless applications is implemented using topics and consumer groups that manage message publishing, consumption, and retries. Messages are durably stored across multiple availability zones to ensure no data is lost.

What is the best way to handle asynchronous processing with message queues in serverless environments?

Asynchronous processing with message queues in serverless environments is handled using push-mode and poll-mode consumption with consumer groups. This approach provides automatic retries, sharding, and at-least-once delivery guarantees for reliable processing.

Can I use JSON and Stream transports for publishing messages to a queue?

Yes, you can use JSON, Buffer, and Stream transports for publishing messages to a queue. This flexible data handling supports various payload formats for durable event streaming across your consumer groups.

How do consumer groups manage message retries and visibility timeouts?

Consumer groups manage message retries and visibility timeouts by providing automatic retries with configurable retention settings. This ensures at-least-once delivery guarantees when processing events independently across multiple consumer groups.

Does serverless message queueing support event-driven architectures without traditional queue management?

Serverless message queueing supports event-driven architectures without the complexity of traditional message queue management. It provides durable, append-only event streaming with automatic sharding and independent consumer group processing.