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/agent-skills agent-uiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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
development
Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video
tools
Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video
documentation
Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image, still to video, add motion to image, image animation, photo to video, animate still, wan i2v, image2video, bring image to life, animate photo, motion from image
tools
Generate videos with Google Veo models via inference.sh CLI. Models: Veo 3.1, Veo 3.1 Fast, Veo 3, Veo 3 Fast, Veo 2. Capabilities: text-to-video, cinematic output, high quality video generation. Triggers: veo, google veo, veo 3, veo 2, veo 3.1, vertex ai video, google video generation, google video ai, veo model, veo video