Skip to content
TrustedSkillsbeta
Back to all skills

Ai Sdk

Official
vercel·vlatest·ai-ml

Official vercel skill for AI — helps with building AI and machine learning applications.

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 vercel/ai --skill 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

vercel

Matched to the vendor's own GitHub organisation.

Install target

Live repository

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

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 2 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as vercel/ai.
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 ai-sdk skill provides developers with tools and libraries to integrate AI capabilities into their applications. It enables features such as natural language processing, machine learning model deployment, and API integrations for building intelligent systems.

When to use it

  • Building chatbots or virtual assistants that require NLP understanding
  • Deploying custom machine learning models in production environments
  • Integrating third-party AI services like text generation or image recognition into web apps

Key capabilities

  • Natural language processing (NLP) tools for text analysis
  • APIs for deploying and managing machine learning models
  • Integration with popular AI frameworks and cloud platforms

Example prompts

  • "Deploy a sentiment analysis model using the ai-sdk."
  • "Integrate a chatbot with NLP features into my web application."
  • "Set up an API endpoint to call a pre-trained image recognition model."

Tips & gotchas

  • Ensure your environment meets the SDK's dependency requirements before installation.
  • Some AI features may require additional configuration or API keys from third-party services.