Vercel Ai

Name: Vercel Ai
Author: bobmatnyc

bobmatnyc/claude-mpm-skills

219 installs
63 repo stars
Updated July 18, 2026
bobmatnyc/claude-mpm-skills

Integrate Vercel AI SDK streaming chat, tool calling, and model providers into Next.js and Node apps.

About

Covers integrating the Vercel AI SDK for LLM-powered features, including provider configuration, streaming responses, tool calling, Next.js route handlers, and production-ready patterns for chat and agentic workflows in web apps.

Vercel AI SDK setup and providers
Streaming chat and completion UI
Tool and function calling patterns
Next.js App Router AI routes
Model switching and error handling

Vercel Ai by the numbers

219 all-time installs (skills.sh)
Ranked #2,752 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
Data as of Aug 1, 2026 (Skillselion catalog sync)

npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill vercel-ai

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Installs	219
repo stars	★ 63
Last updated	July 18, 2026
Repository	bobmatnyc/claude-mpm-skills ↗

What it does

Integrate Vercel AI SDK streaming chat, tool calling, and model providers into Next.js and Node apps.

Files

SKILL.mdMarkdownGitHub ↗

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

{
  "name": "vercel-ai",
  "version": "1.0.0",
  "category": "toolchain",
  "toolchain": null,
  "tags": [
    "vercel",
    "ai",
    "ai-gateway",
    "ai-sdk",
    "agent",
    "mcp"
  ],
  "entry_point_tokens": 100,
  "full_tokens": 572,
  "related_skills": [
    "vercel-functions-runtime",
    "vercel-storage-data",
    "vercel-observability"
  ],
  "author": "Claude MPM",
  "license": "MIT",
  "platform": "deployment"
}