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