ui/widgets-ui/SKILL.md
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
npx skillsauth add skill-zero/s widgets-uiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security scan pending...
This skill is queued for security scanning. Results will appear when the scan completes.
Install the belt CLI skill:
npx skills add belt-sh/cli
Declarative UI from JSON via ui.inference.sh.

npx shadcn@latest add https://ui.inference.sh/r/widgets.json
import { WidgetRenderer } from "@/registry/blocks/widgets/widget-renderer"
import type { Widget, WidgetAction } from "@/registry/blocks/widgets/types"
const widget: Widget = {
type: 'ui',
title: 'My Widget',
children: [
{ type: 'text', value: 'Hello World' },
{ type: 'button', label: 'Click me', onClickAction: { type: 'click' } },
],
}
<WidgetRenderer
widget={widget}
onAction={(action, formData) => console.log(action, formData)}
/>
{ "type": "row", "gap": 2, "children": [...] }
{ "type": "col", "gap": 2, "children": [...] }
{ "type": "box", "background": "gradient-ocean", "padding": 4, "radius": "lg", "children": [...] }
{ "type": "title", "value": "Heading", "size": "2xl", "weight": "bold" }
{ "type": "text", "value": "Body text", "variant": "bold" }
{ "type": "caption", "value": "Small text" }
{ "type": "label", "value": "Field label", "fieldName": "email" }
{ "type": "button", "label": "Submit", "variant": "default", "onClickAction": { "type": "submit" } }
{ "type": "input", "name": "email", "placeholder": "Enter email" }
{ "type": "textarea", "name": "message", "placeholder": "Your message" }
{ "type": "select", "name": "plan", "options": [{ "value": "pro", "label": "Pro" }] }
{ "type": "checkbox", "name": "agree", "label": "I agree", "defaultChecked": false }
{ "type": "badge", "label": "New", "variant": "secondary" }
{ "type": "icon", "iconName": "check", "size": "lg" }
{ "type": "image", "src": "https://...", "alt": "Image", "width": 100, "height": 100 }
{ "type": "divider" }
const flightWidget: Widget = {
type: 'ui',
children: [
{
type: 'box', background: 'gradient-ocean', padding: 4, radius: 'lg', children: [
{
type: 'row', justify: 'between', children: [
{
type: 'col', gap: 1, children: [
{ type: 'caption', value: 'departure' },
{ type: 'title', value: 'SFO', size: '2xl', weight: 'bold' },
]
},
{ type: 'icon', iconName: 'plane', size: 'lg' },
{
type: 'col', gap: 1, align: 'end', children: [
{ type: 'caption', value: 'arrival' },
{ type: 'title', value: 'JFK', size: '2xl', weight: 'bold' },
]
},
]
},
]
},
],
}
const formWidget: Widget = {
type: 'ui',
title: 'Contact Form',
asForm: true,
children: [
{
type: 'col', gap: 3, children: [
{ type: 'input', name: 'name', placeholder: 'Your name' },
{ type: 'input', name: 'email', placeholder: 'Email address' },
{ type: 'textarea', name: 'message', placeholder: 'Message' },
{ type: 'button', label: 'Send', variant: 'default', onClickAction: { type: 'submit' } },
]
},
],
}
| Name | Description |
|------|-------------|
| gradient-ocean | Blue teal gradient |
| gradient-sunset | Orange pink gradient |
| gradient-purple | Purple gradient |
| gradient-cool | Cool blue gradient |
| gradient-midnight | Dark blue gradient |
const handleAction = (action: WidgetAction, formData?: WidgetFormData) => {
switch (action.type) {
case 'submit':
console.log('Form data:', formData)
break
case 'click':
console.log('Button clicked')
break
}
}
# Full agent component
npx skills add inference-sh/skills@agent-ui
# Chat UI blocks
npx skills add inference-sh/skills@chat-ui
# Tool UI
npx skills add inference-sh/skills@tools-ui
Component docs: ui.inference.sh/blocks/widgets
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
Build and deploy applications on inference.sh. Use when getting started, understanding the platform, creating apps, configuring resources, or needing an overview of inference.sh app development. Supports both Python and Node.js. Triggers: inference.sh app, belt app, inf.yml, inference.py, inference.js, deploy app, app development, build app, create app, GPU app, VRAM, app resources, app secrets, app integrations, multi-function app
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.
tools
Generate videos with ByteDance Seedance 2.0 via inference.sh CLI. Unified model for text-to-video, image-to-video, and reference-to-video with synchronized audio, up to 1080p, 4-15s duration. Pro and Fast variants. Studio variants with private asset library for portrait consistency. Use for: social media videos, music videos, product demos, animated content, AI video with sound. Triggers: seedance, seedance 2, bytedance video, seedance t2v, seedance i2v, seedance r2v, video with audio, seedance 2.0, bytedance seedance, seedance studio