gen-ui

Generate live UI components from AI prompts using the Vercel AI SDK RSC.

1|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/Aurora-AI/Certum- --skill gen-ui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gen-ui
Source: https://github.com/Aurora-AI/Certum-/tree/main/.agent/skills/gen-ui
Command: npx skills add https://github.com/Aurora-AI/Certum- --skill gen-ui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Translating abstract AI prompts into ready-to-render, interactive UI components is complex and time-consuming. This Skill provides patterns and architecture to convert prompts into live interfaces using the Vercel AI SDK RSC and streaming UI.

Core Features & Use Cases

  • Generates live UI components from AI prompts with strict type schemas and deterministic rendering.
  • Demonstrates skeleton-first rendering, progressive disclosure, and error boundaries to deliver robust interfaces.
  • Use cases include dashboards, cards, and interactive widgets that update in real time via streamUI.

Quick Start

Use gen-ui to convert a user prompt into a live interface component by supplying a UI model, schema, and a target rendering context.

Frequently Asked Questions about gen-ui

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate live UI components from AI prompts using React?

To generate live UI components from AI prompts, you supply a UI model, strict Zod schema, and target rendering context to streamUI. This pattern uses Vercel AI SDK RSC to stream progressive, deterministic interfaces.

What is streamUI and how does it handle real-time interface updates?

streamUI is a Vercel AI SDK RSC function that streams live UI components. It applies skeleton-first rendering and progressive disclosure to progressively render interactive dashboards and widgets during AI generation.

How do I validate AI-generated UI components with strict schemas?

You validate AI-generated UI components by defining strict Zod schemas for your UI model. This enforces deterministic rendering and ensures the generative UI output matches expected inputs before streaming.

Does Vercel AI SDK RSC support skeleton-first rendering for generative UI?

Yes, Vercel AI SDK RSC supports skeleton-first rendering for generative UI. It streams initial skeletons, progressively discloses interactive components, and uses error boundaries to deliver robust interfaces.

What are the limitations of using streamUI for interactive dashboards?

streamUI requires React Server Components and Vercel AI SDK dependencies. While robust for streaming interactive dashboards, complex state management outside strict Zod schemas may challenge deterministic UI rendering.

Can I use generative UI patterns for responsive dashboards and interactive widgets?

Yes, generative UI patterns apply directly to building responsive dashboards and interactive widgets. streamUI streams real-time updates, while error boundaries and Zod schemas ensure robust interface validation.