vercel-ai — Claude Code skill: what it does, how to install
Architecture guidance for Vercel AI SDK, AI Gateway, and MCP workflows. Helps when building agentic workloads on Vercel.
npx skills add bobmatnyc/claude-mpm-skills --skill vercel-ai -a claude-codeWhat vercel-ai does
This skill provides reference patterns for building AI features on Vercel. It guides the coding agent through implementing the Vercel AI SDK and configuring model routing via AI Gateway.
It covers Vercel Agent workflows and tooling through MCP. You get clear directions for securing environment variables, handling API keys, and tracking model usage.
Companion skills like vercel-storage-data and vercel-observability remain optional. The core guidance works without installing any extra modules.
What it helps with
- route model traffic through Vercel AI Gateway
- implement Vercel AI SDK in application code
- orchestrate agentic workflows with Vercel Agent
- connect MCP integrations to Vercel deployments
Example prompts for the agent
- Route model traffic through AI Gateway and set up usage controls.
- Help me implement Vercel AI SDK while securing API keys in environment variables.
- Set up a Vercel Agent workflow with MCP tooling.
How to install vercel-ai
1Skills CLI (Vercel)
npx skills add bobmatnyc/claude-mpm-skills --skill vercel-ai -a claude-code2Manually: put the files in place
~/.claude/skills/vercel-ai/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/vercel-ai/
1Skills CLI (Vercel)
npx skills add bobmatnyc/claude-mpm-skills --skill vercel-ai -a codex2Manually: put the files in place
.agents/skills/vercel-ai/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add bobmatnyc/claude-mpm-skills --skill vercel-ai -a cursor2Manually: put the files in place
.cursor/skills/vercel-ai/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install bobmatnyc/claude-mpm-skills vercel-ai2Manually: put the files in place
.github/skills/vercel-ai/SKILL.md1Skills CLI (Vercel)
npx skills add bobmatnyc/claude-mpm-skills --skill vercel-ai -a gemini-cli2Platform CLI
gemini skills install https://github.com/bobmatnyc/claude-mpm-skills --path toolchains/platforms/deployment/vercel-aiManually: put the files in place
.devin/skills/vercel-ai/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add bobmatnyc/claude-mpm-skills --skill vercel-ai -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about vercel-ai
How to install vercel-ai in Claude Code?
Run npx skills add bobmatnyc/claude-mpm-skills --skill vercel-ai -a claude-code in your terminal. You can also place the skill file directly at ~/.claude/skills/vercel-ai/SKILL.md.
What does the vercel-ai skill do?
It equips the agent with best practices for Vercel AI services, including AI SDK, AI Gateway routing, Vercel Agent, and MCP integrations.
Do I need companion skills like vercel-storage-data?
No, companion skills are strictly optional. The skill functions on its own without requiring extra runtime or data storage skills.
Source text
SKILL.md · MIT
---
name: vercel-ai
description: Vercel AI platform guidance covering AI SDK, AI Gateway, Vercel Agent, and MCP. Use when building AI-powered or agentic workloads on Vercel.
user-invocable: false
disable-model-invocation: true
progressive_disclosure:
entry_point:
summary: "Vercel AI platform guidance covering AI SDK, AI Gateway, Vercel Agent, and MCP. Use when building AI-powered or agentic workloads on Vercel."
when_to_use: "When working with vercel-ai or related functionality."
quick_start: "1. Review the core concepts below. 2. Apply patterns to your use case. 3. Follow best practices for implementation."
---
# 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
© bobmatnyc · MIT · bobmatnyc/claude-mpm-skills