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ai-generative-ui

Render AI tool outputs as interactive React components in chat streams.

3|Updated Feb 14, 2026
Search Tags:#data visualization#ai tools#react components#chat interface#generative ui#custom rendering
One-click install
npx skills add https://github.com/mattwoodco/skills --skill ai-generative-ui
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-generative-ui
Source: https://github.com/mattwoodco/skills/tree/main/skills/ai-generative-ui
Command: npx skills add https://github.com/mattwoodco/skills --skill ai-generative-ui

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill transforms raw JSON tool outputs into interactive and visually appealing React components directly within the chat interface, enhancing user experience and data comprehension.

Core Features & Use Cases

  • Rich Tool Rendering: Displays tool results as custom React components (e.g., weather cards, data summaries, confirmation prompts) instead of plain JSON.
  • Data-Driven UI: Leverages a _ui field in tool results to dynamically select and render registered components.
  • Use Case: When an AI tool provides weather data, instead of showing raw JSON, this Skill renders a WeatherCard component displaying the location, temperature, and conditions in a user-friendly format.

Quick Start

Ask the AI for the weather in a specific city to see the WeatherCard component in action.

Frequently Asked Questions about ai-generative-ui

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

FAQPage Schema
How do I render AI tool results as React components in a chat interface?▼

To render AI tool results as React components in a chat interface, this Skill maps a `_ui` field in tool outputs to pre-registered React components for dynamic data visualization. It replaces raw JSON with interactive UI elements like weather cards directly within the chat stream.

What is generative UI for data visualization in chat streams?▼

Generative UI for data visualization transforms raw JSON tool outputs into interactive React components within a chat stream. It uses a `_ui` field to dynamically select and render registered components, displaying data summaries and confirmation prompts instead of plain JSON.

Can I display custom React components for AI tool outputs instead of plain JSON?▼

Yes, you can display custom React components for AI tool outputs by mapping a `_ui` field to pre-registered components. This Skill supports custom UI elements like data cards and confirmation prompts, falling back to default JSON rendering when no specific component is registered.

How do I map a _ui field to a specific React component for dynamic rendering?▼

Mapping a `_ui` field to a specific React component involves registering custom UI elements that the chat stream dynamically selects during rendering. When an AI tool outputs data containing the `_ui` field, the corresponding registered component is rendered for data visualization.

What happens when no custom React component is registered for an AI tool output?▼

When no custom React component is registered for an AI tool output, the chat interface falls back to default JSON rendering. This ensures that data visualization remains functional by displaying raw JSON outputs even without a specific component mapping.

Does generative UI work with existing chat interface implementations?▼

Generative UI works with chat interface implementations by rendering AI tool results as rich React components. It requires mapping tool outputs containing a `_ui` field to pre-registered components, enabling dynamic data visualization within the existing chat stream.

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