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Thesys Generative Ui

Listed
secondsky·vlatest·frontend·MIT

Generates interactive UI prototypes from text descriptions, streamlining design workflows and accelerating application development.

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 secondsky/claude-skills --skill thesys-generative-ui -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

secondsky

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 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.thesys.dev, placehold.co.

    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.thesys.devundeclaredplacehold.coundeclared

    What it found (3 of 14)

    • plugins/thesys-generative-ui/skills/thesys-generative-ui/references/ai-provider-setup.md:116contacts api.thesys.dev
      const c1Response = await fetch("https://api.thesys.dev/v1/embed/chat/completions", {
    • plugins/thesys-generative-ui/skills/thesys-generative-ui/references/common-errors.md:35contacts api.thesys.dev
      curl -X POST https://api.thesys.dev/v1/embed/chat/completions \
    • plugins/thesys-generative-ui/skills/thesys-generative-ui/references/common-errors.md:453contacts api.thesys.dev
      curl -X POST https://api.thesys.dev/v1/embed/chat/completions \

  • 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 secondsky/claude-skills at 8837836131.

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

Commit
8837836131
Manifest
plugins/thesys-generative-ui/skills/thesys-generative-ui/SKILL.md
Scanned
30 files, 6,441 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

The thesys-generative-ui skill enables AI agents to dynamically generate and render interactive user interfaces directly within chat conversations. It transforms static text responses into functional components, allowing users to interact with data visualizations, forms, or dashboards without leaving the agent session.

When to use it

  • You need to present complex data structures in a visually engaging format rather than plain text lists.
  • Your workflow requires collecting user input through interactive forms before proceeding with a task.
  • You want to demonstrate real-time state changes or dynamic calculations within the chat interface.
  • The goal is to create a self-contained application prototype that runs entirely inside the AI agent environment.

Key capabilities

  • Generates custom HTML, CSS, and JavaScript code on the fly.
  • Renders interactive components such as charts, tables, and input fields.
  • Maintains state within the generated UI elements for multi-step interactions.
  • Outputs fully functional web interfaces that can be embedded in the chat window.

Example prompts

  • "Create an interactive bar chart showing monthly sales figures for Q3."
  • "Build a contact form where I can enter details and see them validated instantly."
  • "Generate a dynamic to-do list component that lets me add and delete items right here."

Tips & gotchas

Ensure your AI agent has access to the necessary rendering environment to execute the generated code. Complex UIs may require simplified logic if the underlying sandbox has resource constraints.