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