tomevault-io 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
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