Skip to content
TrustedSkillsbeta
Back to all skills

Vercel Ai Sdk

Checked
toilahuongg·vlatest·cloud

Helps with Vercel, AI as part of building AI and machine learning applications 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 toilahuongg/shopify-agents-kit --skill vercel-ai-sdk -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

toilahuongg

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 toilahuongg/shopify-agents-kit at 45435b1027.

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

Commit
45435b1027
Manifest
.claude/skills/vercel-ai-sdk/SKILL.md
Scanned
1 file, 84 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

The vercel-ai-sdk skill provides a simplified interface for interacting with Vercel AI services. It allows agents to easily send requests and receive responses from deployed AI models on the Vercel platform, streamlining integration into various workflows. This SDK abstracts away much of the underlying complexity of managing API keys and endpoints.

When to use it

  • Deploying and querying custom AI models: When you have an AI model hosted on Vercel that needs to be accessed programmatically by an agent.
  • Building conversational agents: To integrate a deployed language model into a chatbot or other conversational interface.
  • Automating tasks with AI inference: When you need to automate processes using predictions from a Vercel-hosted AI model, such as image classification or text generation.
  • Rapid prototyping of AI applications: The simplified API allows for quick experimentation and development of AI-powered features.

Key capabilities

  • Simplified API for interacting with Vercel AI deployments.
  • Abstraction of API key management.
  • Easy integration with various agent frameworks.

Example prompts

  • "Send a request to my 'image-classifier' model on Vercel with the image data: [base64 encoded image]"
  • "Query the 'text-summarizer' endpoint and provide the following text for summarization: [long text passage]"
  • "Get the status of my deployed AI model named 'sentiment-analyzer'."

Tips & gotchas

  • Requires a Vercel account with an active AI deployment. Ensure your API key is correctly configured within the agent environment.