Skill by ara.so — Daily 2026 Skills collection.
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionjson-render-generative-uiExecute the skills CLI command in your project's root directory to begin installation:
Fetches json-render-generative-ui from aradotso/trending-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate json-render-generative-ui. Access via /json-render-generative-ui in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Skill by ara.so — Daily 2026 Skills collection.
json-render is a Generative UI framework that lets AI generate dynamic interfaces from natural language prompts, constrained to a predefined component catalog. AI outputs JSON; json-render renders it safely and predictably across any platform.
# React (core)
npm install @json-render/core @json-render/react
# React + shadcn/ui (36 pre-built components)
npm install @json-render/shadcn
# React Native
npm install @json-render/core @json-render/react-native
# Vue
npm install @json-render/core @json-render/vue
# Svelte
npm install @json-render/core @json-render/svelte
# SolidJS
npm install @json-render/core @json-render/solid
# Video (Remotion)
npm install @json-render/core @json-render/remotion
# PDF
npm install @json-render/core @json-render/react-pdf
# Email
npm install @json-render/core @json-render/react-email @react-email/components @react-email/render
# 3D (React Three Fiber)
npm install @json-render/core @json-render/react-three-fiber @react-three/fiber @react-three/drei three
# OG Images / SVG / PNG
npm install @json-render/core @json-render/image
# State management adapters
npm install @json-render/zustand # or redux, jotai, xstate
# MCP integration (Claude, ChatGPT, Cursor)
npm install @json-render/mcp
# YAML wire format
npm install @json-render/yaml
| Concept | Description |
|---|---|
| Catalog | Defines allowed components and actions (the guardrails for AI) |
| Spec | AI-generated JSON describing which components to render and with what props |
| Registry | Maps catalog component names to actual render implementations |
| Renderer | Platform-specific component that takes a spec + registry and renders UI |
| Actions | Named events AI can trigger (e.g. export_report, refresh_data) |
The flat spec format uses a root key + elements map:
const spec = {
root: "card-1",
elements: {
"card-1": {
type: "Card",
props: { title: "Dashboard" },
children: ["metric-1", "metric-2", "button-1"],
},
"metric-1": {
type: "Metric",
props: { label: "Revenue", value: "124000", format: "currency" },
children: [],
},
"metric-2": {
type: "Metric",
props: { label: "Growth", value: "0.18", format: "percent" },
children: [],
},
"button-1": {
type: "Button",
props: { label: "Export Report", action: "export_report" },
children: [],
},
},
};
import { defineCatalog } from "@json-render/core";
import { schema } from "@json-render/react/schema";
import { z } from "zod";
const catalog = defineCatalog(schema, {
components: {
Card: {
props: z.object({ title: z.string() }),
description: "A card container with a title",
},
Metric: {
props: z.object({
label: z.string(),
value: z.string(),
format: z.enum(["currency", "percent", "number"]).nullable(),
}),
description: "Displays a single metric value with optional formatting",
},
Button: {
props: z.object({
label: z.string(),
action: z.string(),
}),
description: "Clickable button that triggers an action",
},
Stack: {
props: z.object({
direction: z.enum(["row", "column"]).default("column"),
gap: z.number().optional(),
}),
description: "Layout container that stacks children",
},
},
actions: {
export_report: { description: "Export the current dashboard to PDF" },
refresh_data: { description: "Refresh all metric data" },
navigate: {
description: "Navigate to a page",
payload: z.object({ path: z.string() }),
},
},
});
import { defineRegistry, Renderer } from "@json-render/react";
function format(value: string, fmt: string | null): string {
if (fmt === "currency") return `$${Number(value).toLocaleString()}`;
if (fmt === "percent") return `${(Number(value) * 100).toFixed(1)}Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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json-render-generative-ui reduced setup friction for our internal harness; good balance of opinion and flexibility.
json-render-generative-ui has been reliable in day-to-day use. Documentation quality is above average for community skills.
json-render-generative-ui reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend json-render-generative-ui for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
json-render-generative-ui fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend json-render-generative-ui for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in json-render-generative-ui — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in json-render-generative-ui — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added json-render-generative-ui from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
json-render-generative-ui fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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