ui/agent-ui/SKILL.md
Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in. Capabilities: drop-in agent, human-in-the-loop, client-side tools, form filling. Use for: building AI chat interfaces, agentic UIs, SaaS copilots, assistants. Triggers: agent component, agent ui, chat agent, shadcn agent, react agent, agentic ui, ai assistant ui, copilot ui, inference ui, human in the loop
npx skillsauth add inference-sh-8/skills agent-uiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Install the belt CLI skill:
npx skills add belt-sh/cli
Batteries-included agent component from ui.inference.sh.

# Install the agent component
npx shadcn@latest add https://ui.inference.sh/r/agent.json
# Add the SDK for the proxy route
npm install @inferencesh/sdk
// app/api/inference/proxy/route.ts
import { route } from '@inferencesh/sdk/proxy/nextjs';
export const { GET, POST, PUT } = route;
# .env.local
INFERENCE_API_KEY=inf_...
import { Agent } from "@/registry/blocks/agent/agent"
export default function Page() {
return (
<Agent
proxyUrl="/api/inference/proxy"
agentConfig={{
core_app: { ref: 'openrouter/claude-haiku-45@0fkg6xwb' },
description: 'a helpful ai assistant',
system_prompt: 'you are helpful.',
}}
/>
)
}
| Feature | Description | |---------|-------------| | Runtime included | No backend logic needed | | Tool lifecycle | Pending, progress, approval, results | | Human-in-the-loop | Built-in approval flows | | Widgets | Declarative JSON UI from agent responses | | Streaming | Real-time token streaming | | Client-side tools | Tools that run in the browser |
import { Agent } from "@/registry/blocks/agent/agent"
import { createScopedTools } from "./blocks/agent/lib/client-tools"
const formRef = useRef<HTMLFormElement>(null)
const scopedTools = createScopedTools(formRef)
<Agent
proxyUrl="/api/inference/proxy"
config={{
core_app: { ref: 'openrouter/claude-haiku-45@0fkg6xwb' },
tools: scopedTools,
system_prompt: 'You can fill forms using scan_ui and fill_field tools.',
}}
/>
| Prop | Type | Description |
|------|------|-------------|
| proxyUrl | string | API proxy endpoint |
| name | string | Agent name (optional) |
| config | AgentConfig | Agent configuration |
| allowFiles | boolean | Enable file uploads |
| allowImages | boolean | Enable image uploads |
# Chat UI building blocks
npx skills add inference-sh/skills@chat-ui
# Declarative widgets from JSON
npx skills add inference-sh/skills@widgets-ui
# Tool lifecycle UI
npx skills add inference-sh/skills@tools-ui
Component docs: ui.inference.sh/blocks/agent
data-ai
Generate multi-person talking head podcast videos from scratch using AI — character creation, TTS, avatar animation, and video stitching. Use when the user wants to create a podcast, talking head video, or multi-speaker conversation video.
development
Declarative UI widgets from JSON for React/Next.js from ui.inference.sh. Render rich interactive UIs from structured agent responses. Capabilities: forms, buttons, cards, layouts, inputs, selects, checkboxes. Use for: agent-generated UIs, dynamic forms, data display, interactive cards. Triggers: widgets, declarative ui, json ui, widget renderer, agent widgets, dynamic ui, form widgets, card widgets, shadcn widgets, structured output ui
tools
Tool lifecycle UI components for React/Next.js from ui.inference.sh. Display tool calls: pending, progress, approval required, results. Capabilities: tool status, progress indicators, approval flows, results display. Use for: showing agent tool calls, human-in-the-loop approvals, tool output. Triggers: tool ui, tool calls, tool status, tool approval, tool results, agent tools, mcp tools ui, function calling ui, tool lifecycle, tool pending
development
Chat UI building blocks for React/Next.js from ui.inference.sh. Components: container, messages, input, typing indicators, avatars. Capabilities: chat interfaces, message lists, input handling, streaming. Use for: building custom chat UIs, messaging interfaces, AI assistants. Triggers: chat ui, chat component, message list, chat input, shadcn chat, react chat, chat interface, messaging ui, conversation ui, chat building blocks