openui

Build generative UI apps with OpenUI Lang components and streaming.

3|Updated Oct 12, 2025
One-click install
npx skills add https://github.com/mostafasudo/warpy --skill openui-mostafasudo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openui
Source: https://github.com/mostafasudo/warpy/tree/main/.codex/skills/openui
Command: npx skills add https://github.com/mostafasudo/warpy --skill openui-mostafasudo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of building and managing generative UI apps, offering a token-efficient, open standard for LLM-generated interfaces.

Core Features & Use Cases

  • Generative UI Framework: Leverages OpenUI Lang for creating UIs up to 67% more token-efficient than JSON-based alternatives.
  • Component Library: Defines components with Zod schemas and React renderers.
  • Prompt Generator: Converts libraries into system prompts.
  • Streaming UI: Generates UI progressively as the model streams.
  • Use Case: Ideal for developers looking to embed AI-powered UI components in their applications.

Quick Start

Use the openui skill to create a simple layout with a header and stats component.

Frequently Asked Questions about openui

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

FAQPage Schema
How do I build generative UI apps efficiently with LLMs?

Building generative UI apps efficiently requires a token-efficient language like OpenUI Lang to define components and render interfaces progressively as the model streams, reducing token usage by up to 67% compared to JSON.

What is the best way to generate AI-powered UI components without high token costs?

Generating AI-powered UI components without high token costs is best achieved using OpenUI Lang, an open standard that defines components with Zod schemas and React renderers to minimize token overhead.

How does streaming UI rendering work for LLM-generated interfaces?

Streaming UI rendering for LLM-generated interfaces works by progressively displaying components as the model streams tokens, allowing the interface to update incrementally rather than waiting for the full response.

Can I use my existing React renderers and Zod schemas for AI UI generation?

Yes, you can use existing React renderers and Zod schemas for AI UI generation by defining your component library with them, which the system then converts into system prompts for the LLM.

How do I convert a component library into a system prompt for generative UI?

Converting a component library into a system prompt for generative UI involves using a prompt generator tool that translates your defined Zod schemas and React renderers into a format the LLM understands.

Why should I use OpenUI Lang instead of JSON for LLM-generated interfaces?

You should use OpenUI Lang instead of JSON for LLM-generated interfaces because it is a token-efficient language that reduces token consumption by up to 67%, making progressive UI rendering more cost-effective.