Build generative UI apps with OpenUI Lang components and streaming.
npx skills add https://github.com/mostafasudo/warpy --skill openui-mostafasudo
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
This Skill addresses the challenge of building and managing generative UI apps, offering a token-efficient, open standard for LLM-generated interfaces.
Use the openui skill to create a simple layout with a header and stats component.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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