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Vercel Ai Sdk V5

Listed
horuz-ai·vlatest·cloud

Helps with Vercel, AI as part of building AI and machine learning applications workflows.

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 horuz-ai/claude-plugins --skill vercel-ai-sdk-v5 -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

horuz-ai

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: api.weather.com.

    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.

    Hosts contacted

    api.weather.comundeclared

    What it found

    • plugins/nextjs/skills/vercel-ai-sdk-v5/references/tools-and-generative-ui.md:28contacts api.weather.com
      const response = await fetch(`https://api.weather.com/${city}`)
  • 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 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 horuz-ai/claude-plugins at 2e3c9a3fd8.

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

Scanned
17 files, 3,273 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 the Vercel AI SDK, enabling AI agents to interact with and deploy serverless functions on the Vercel platform. It allows agents to manage deployments, monitor function performance, and integrate AI workflows directly into Vercel projects. The skill simplifies common Vercel development tasks through natural language commands.

When to use it

  • Automated Deployment: Deploy new or updated serverless functions to a Vercel project based on agent instructions.
  • Monitoring & Debugging: Retrieve real-time metrics and logs for deployed Vercel functions.
  • Project Management: Manage existing Vercel projects, such as listing deployments or triggering redeployments.
  • Integration with AI Workflows: Integrate Vercel serverless functions into larger AI pipelines for tasks like data processing or model serving.

Key capabilities

  • Deploy serverless functions to Vercel
  • Retrieve deployment information
  • Monitor function performance metrics
  • Access and analyze function logs

Example prompts

  • "Deploy the 'image-resize' function to my production Vercel project."
  • "Show me the latest deployments for my 'api' project."
  • "What are the error rates for my 'payment-processor' function?"

Tips & gotchas

Requires a Vercel account and appropriate permissions within the target Vercel projects. The skill’s effectiveness depends on accurate project names and function identifiers provided in prompts.