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