agent-ui

Create AI chat interfaces with agent integration, human oversight, and client-side tools.

Updated Jun 16, 2026
One-click install
npx skills add https://github.com/breakingcircuits1337/agent-skills --skill agent-ui-breakingcircuits1337
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-ui
Source: https://github.com/breakingcircuits1337/agent-skills/tree/main/agent-ui
Command: npx skills add https://github.com/breakingcircuits1337/agent-skills --skill agent-ui-breakingcircuits1337

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @inferencesh/sdk, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the creation of AI-powered chat interfaces, providing a comprehensive set of components and tools to streamline the development process.

Core Features & Use Cases

  • Drop-in Agent: Implement an AI agent seamlessly into your application.
  • Human-in-the-Loop: Enable human oversight and intervention for enhanced control.
  • Client-Side Tools: Access tools directly within the chat interface for a rich user experience.
  • Use Case: For businesses looking to add an AI chatbot to their website, this Skill offers a ready-to-use solution with built-in features for human-in-the-loop interactions and client-side tools for form filling and data entry.

Quick Start

Add the agent component to your project using the following command:

npx shadcn@latest add https://ui.inference.sh/r/agent.json

Frequently Asked Questions about agent-ui

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

FAQPage Schema
How do I build an AI chat interface with React or Next.js?

You can build an AI chat interface by installing the drop-in agent component via the shadcn CLI, which streamlines adding an interactive AI assistant to your React or Next.js application. It requires installing the SDK for proxy routing.

What is human-in-the-loop control for AI agents?

Human-in-the-loop control enables human oversight and intervention during AI agent interactions, ensuring enhanced control over the chatbot's automated responses directly within the chat interface.

Can I use client-side tools for form filling in an AI chatbot?

Yes, you can access client-side tools directly within the chat interface to enable rich user experiences like form filling and data entry from your website visitors.

Does the agent component require any specific dependencies to function?

Yes, the agent component requires the @inferencesh/sdk dependency for proxy routing to successfully integrate the AI agent into your application.

What is the best way to add an AI assistant to a website?

The best way to add an AI assistant is using a ready-to-use component suite that offers built-in human oversight and client-side tooling, allowing seamless integration via a CLI command.