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Vercel Ai

Checked
bobmatnyc·vlatest·cloud·MIT

Helps with Vercel, AI as part of agent workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add bobmatnyc/claude-mpm-skills --skill vercel-ai -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

bobmatnyc

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned bobmatnyc/claude-mpm-skills at 718070a7d6.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
718070a7d6
Manifest
toolchains/platforms/deployment/vercel-ai/SKILL.md
Scanned
2 files, 98 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides access to Vercel's AI platform, encompassing several key components for building and deploying AI-powered applications. It enables agents to utilize the Vercel AI SDK for developing AI features within apps, route model traffic through the AI Gateway for control and monitoring, build agentic workflows using Vercel Agent, and leverage Model Context Protocol (MCP) integrations for AI tooling. Essentially, it allows an AI agent to interact with and manage various aspects of your AI infrastructure on Vercel.

When to use it

  • When building AI-powered applications directly on the Vercel platform.
  • For routing model traffic through the Vercel AI Gateway, allowing for usage controls and monitoring.
  • When constructing agentic workflows using Vercel Agent or integrating with MCP for advanced AI tooling.

Key capabilities

  • AI SDK: Building AI-driven app features.
  • AI Gateway: Routing model traffic and applying usage controls.
  • Vercel Agent: Constructing and operating agentic workflows.
  • MCP (Model Context Protocol): Integrating with AI tooling and workflows.

Example prompts

  • "Route this OpenAI API call through the Vercel AI Gateway."
  • "Use the Vercel Agent to create a workflow that summarizes customer feedback."
  • "Configure the AI SDK to use model X for feature Y in my application."

Tips & gotchas

  • This skill is fully functional on its own, but consider integrating complementary skills like vercel-functions-runtime, vercel-storage-data, and vercel-observability for enhanced functionality.
  • Properly secure keys and environment variables when configuring models and routing within Vercel AI.