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Ai Elements

Official
vercel·vlatest·frontend

Dynamically generate website elements like images, text, and code snippets using Vercel's AI-powered content creation tool.

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-elements --skill ai-elements -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.

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 6 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: ejiidnob33g9ap1r.public.blob.vercel-storage.com, images.unsplash.com, react.dev, www.dribbble.com, www.instagram.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

    images.unsplash.comundeclaredreact.devundeclaredejiidnob33g9ap1r.public.blob.vercel-storage.comundeclaredwww.x.comundeclaredwww.instagram.comundeclaredwww.github.comsource hostwww.dribbble.comundeclared

    What it found (3 of 10)

    • skills/ai-elements/scripts/attachments-inline.tsx:24contacts images.unsplash.com
      url: "https://images.unsplash.com/photo-1506905925346-21bda4d32df4?w=400&h=400&fit=crop",
    • skills/ai-elements/scripts/attachments-list.tsx:19contacts images.unsplash.com
      url: "https://images.unsplash.com/photo-1506905925346-21bda4d32df4?w=400&h=400&fit=crop",
    • skills/ai-elements/scripts/attachments.tsx:18contacts images.unsplash.com
      url: "https://images.unsplash.com/photo-1506905925346-21bda4d32df4?w=400&h=400&fit=crop",

  • 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 vercel/ai-elements at 6a9d5b1822.

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

Commit
6a9d5b1822
Manifest
skills/ai-elements/SKILL.md
Scanned
60 files, 8,051 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 ai-elements skill provides a collection of UI components and tools designed to enhance AI agent interactions. It enables developers to build interactive, user-friendly interfaces for AI agents by offering pre-built elements like chat windows, buttons, and modals.

When to use it

  • When building an AI-powered web application that requires rich user interaction.
  • To quickly prototype AI agent interfaces without designing UI components from scratch.
  • For integrating AI agent features into existing projects with minimal setup time.

Key capabilities

  • Pre-built UI elements for chat and modals
  • Easy integration with AI agent workflows
  • Customizable components to fit different design needs

Example prompts

  • "Create a modal window for confirming user actions in the AI agent interface."
  • "Add a styled chat input box for user messages."
  • "Design a responsive UI layout for an AI assistant dashboard."

Tips & gotchas

  • Ensure compatibility with your project's frontend framework before installation.
  • Customize components to match your application’s design system for a cohesive look.