ai-elements

Visualize reasoning traces and tool interactions in agentic UIs.

Updated Feb 12, 2026

Search Tags:#ui-patterns #generative-ui #react-components #ai-ui #tool-visualization #agent-reasoning

Ready to run

npx skills add https://github.com/tonyoconnell/agent-ui --skill ai-elements-tonyoconnell

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-elements
Source: https://github.com/tonyoconnell/agent-ui/tree/main/.claude/skills/ai-ui
Command: npx skills add https://github.com/tonyoconnell/agent-ui --skill ai-elements-tonyoconnell

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams design and implement agentic user interfaces that visualize AI reasoning, tool calls, and dynamic UI components, enabling richer human-AI collaboration.

Core Features & Use Cases

Visualize reasoning traces and tool calls within chat and dashboard UIs.
Provide generative UI components that render dynamic, data-driven interfaces.
Build interactive, stateful agent interfaces with streaming content and multi-step workflows.

Quick Start

Instantiate a new AI UI by integrating the AI Elements components into your React app and start streaming reasoning and tool outputs from an agent.

Frequently Asked Questions about ai-elements

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

FAQPage Schema

How do I visualize AI reasoning traces in a React application?▼

You can visualize AI reasoning traces in a React application by integrating generative UI components that render dynamic, data-driven interfaces for streaming agent outputs. This enables richer human-AI collaboration within chat UIs.

What is a generative UI renderer for agentic interfaces?▼

A generative UI renderer for agentic interfaces is a system that dynamically renders data-driven UI components based on agent outputs. It includes payload validation to safely display streaming reasoning and tool interactions within dashboards.

How to build chat interfaces that display streaming tool calls?▼

Build chat interfaces displaying streaming tool calls by composing front-end components that handle streaming data and visualize tool interactions. This approach supports interactive, stateful agent interfaces with multi-step workflows.

Does this approach work for visualizing agent reasoning in dashboards?▼

Yes, visualizing agent reasoning in dashboards is fully supported. The components integrate into dashboard UIs to display streaming reasoning traces and tool calls, enabling automated agents to show their multi-step workflows.

What is the best way to handle streaming data for AI UI components?▼

The best way to handle streaming data for AI UI components is using a renderer with payload validation. This ensures dynamic front-end composition safely processes streaming reasoning and tool outputs from automated agents.

When should I use generative UI components for automated agents?▼

Use generative UI components for automated agents when your interface requires visualizing multi-step reasoning workflows and tool interactions. They provide stateful, interactive displays necessary for complex human-AI collaboration.