Vercel AI Skill

progressive_disclosure: entry_point: summary: “Vercel AI platform: AI SDK, AI Gateway, Vercel Agent, agent integrations, and MCP.” when_to_use: – “When building AI-powered apps on Vercel” – “When routing model traffic through AI Gateway” – “When using Vercel Agent or MCP workflows” quick_start: – “Choose AI SDK, AI Gateway, or Agent” – “Configure models and routing” – “Secure keys and environment variables” – “Deploy and monitor usage” token_estimate: entry: 90-110 full: 3600-4700

Overview

Vercel AI capabilities include SDKs and services for building AI-enabled applications, model routing, and agent workflows.

AI SDK

• Use the AI SDK to build AI-driven app features.

AI Gateway

• Route model traffic through AI Gateway.
• Apply usage controls and monitoring.

Vercel Agent

• Build and operate agentic workflows.
• Connect agent integrations as needed.

MCP

• Use MCP integrations for AI tooling and workflows.

Complementary Skills

When using this skill, consider these related skills (if deployed):

• vercel-functions-runtime: Functions and Edge execution for AI workloads.
• vercel-storage-data: Data stores for embeddings and artifacts.
• vercel-observability: Usage monitoring and debugging.

Note: Complementary skills are optional. This skill is fully functional without them.

Resources

Vercel Docs:

• AI on Vercel: https://vercel.com/docs/ai
• AI Gateway: https://vercel.com/docs/ai-gateway
• AI SDK: https://vercel.com/docs/ai-sdk
• Vercel Agent: https://vercel.com/docs/agent
• Agent integrations: https://vercel.com/docs/agent-integrations
• MCP: https://vercel.com/docs/mcp