agent-ui-design

Design agent chat UIs with streaming content, tool-call cards, and three-panel layouts.

4|1|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/flitzrrr/frontend-design-skills --skill agent-ui-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-ui-design
Source: https://github.com/flitzrrr/frontend-design-skills/tree/main/skills-src/agent-ui-design
Command: npx skills add https://github.com/flitzrrr/frontend-design-skills --skill agent-ui-design

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Designers and engineers building AI chat agents need proven patterns for streaming messages, tool execution visualization, and multi-panel layouts to deliver transparent, responsive user experiences.

Core Features & Use Cases

  • Streaming chat messages with real-time rendering and a visible cursor
  • Embedded tool-call cards with collapsible parameters and formatted results
  • Three-panel layout (threads, chat, context) with progressive disclosure of sandbox state
  • Sandbox UI states and visual indicators for Created, Active, Executing, and Completed

Quick Start

Create a chat UI prototype that supports streaming messages, tool-calls visualization, and a three-panel layout.

Frequently Asked Questions about agent-ui-design

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

FAQPage Schema
How do I design an agent chat UI that supports streaming messages?

Agent chat UI design requires real-time streaming rendering with a visible cursor to display text generation. This pattern ensures transparent, responsive user experiences for AI agents in web applications.

What is the best way to visualize tool execution in an AI agent interface?

Visualizing tool execution in an AI agent interface uses embedded tool-call cards with collapsible parameters and formatted results. This provides clear feedback on agent actions within the chat flow.

How do I structure a multi-panel layout for an AI dashboard?

Structuring a multi-panel layout for an AI dashboard uses a three-panel design comprising threads, chat, and context panels. This enables progressive disclosure of sandbox state and contextual information.

How do I handle sandbox UI states for executing agent tasks?

Handling sandbox UI states for executing agent tasks requires visual indicators for Created, Active, Executing, and Completed phases. These states track the lifecycle of agent operations transparently.

Does this agent UI design approach support responsive and accessible web apps?

This agent UI design approach supports responsive and accessible web apps by incorporating Markdown rendering and accessible components. It ensures AI chat interfaces function across different devices and meet accessibility standards.