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Ai Elements

Listed
laguagu·vlatest·ai-ml·MIT

Generates creative text formats like poems, code, scripts, musical pieces, email, letters, etc., based on user prompts.

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 laguagu/claude-code-nextjs-skills --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

laguagu

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 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 laguagu/claude-code-nextjs-skills at b89c0f85d1.

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

Commit
b89c0f85d1
Manifest
skills/ai-elements/SKILL.md
Scanned
60 files, 7,862 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 laguagu-ai-elements skill provides access to a collection of pre-built UI elements designed for rapid prototyping and development within AI agent workflows. It allows users to quickly generate components like buttons, forms, and data tables without needing to write extensive code from scratch. This accelerates the creation of interactive interfaces for agents interacting with users or other systems.

When to use it

  • Rapid Prototyping: Quickly build a basic user interface to test agent interactions before committing to full development.
  • Internal Tools: Create simple dashboards or control panels for managing and monitoring AI agent performance.
  • Data Presentation: Display data retrieved by the agent in a structured and easily understandable format, such as tables or charts.
  • Form Creation: Generate forms for users to input information that the agent can then process.

Key capabilities

  • Pre-built UI components (buttons, forms, tables)
  • Rapid prototyping functionality
  • Data display formatting
  • Simplified interface creation

Example prompts

  • "Create a button labeled 'Submit' with an action to trigger a data processing task."
  • "Generate a form with fields for name, email, and message."
  • "Display the following data in a table format: [data]"

Tips & gotchas

The skill’s effectiveness depends on clear instructions regarding desired UI element properties and actions. While it simplifies creation, complex or highly customized interfaces might still require manual adjustments after initial generation.