react
Convert JSON specs into React component trees with type-safe props and state management.
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What it does
Define catalogs with Zod schemas for component props, then implement components with automatic type safety and validation
Built-in state management via StateProvider with two-way binding ( $bindState ), conditional rendering, and external store integration (Redux, Zustand, XState)
Event system with action dispatching, state watchers, and four built-in actions (setState, pushState, removeState, va
Installation Guide
How to use react on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
react
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches react from vercel-labs/json-render and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate react. Access via /react in your agent's command palette.
Security Notice
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.
Documentation
@json-render/react
React renderer that converts JSON specs into React component trees.
Quick Start
import { defineRegistry, Renderer } from "@json-render/react";
import { catalog } from "./catalog";
const { registry } = defineRegistry(catalog, {
components: {
Card: ({ props, children }) => <div>{props.title}{children}</div>,
},
});
function App({ spec }) {
return <Renderer spec={spec} registry={registry} />;
}
Creating a Catalog
import { defineCatalog } from "@json-render/core";
import { schema } from "@json-render/react/schema";
import { defineRegistry } from "@json-render/react";
import { z } from "zod";
// Create catalog with props schemas
export const catalog = defineCatalog(schema, {
components: {
Button: {
props: z.object({
label: z.string(),
variant: z.enum(["primary", "secondary"]).nullable(),
}),
description: "Clickable button",
},
Card: {
props: z.object({ title: z.string() }),
description: "Card container with title",
},
},
});
// Define component implementations with type-safe props
const { registry } = defineRegistry(catalog, {
components: {
Button: ({ props }) => (
<button className={props.variant}>{props.label}</button>
),
Card: ({ props, children }) => (
<div className="card">
<h2>{props.title}</h2>
{children}
</div>
),
},
});
Spec Structure (Element Tree)
The React schema uses an element tree format:
{
"root": {
"type": "Card",
"props": { "title": "Hello" },
"children": [
{ "type": "Button", "props": { "label": "Click me" } }
]
}
}
Visibility Conditions
Use visible on elements to show/hide based on state. New syntax: { "$state": "/path" }, { "$state": "/path", "eq": value }, { "$state": "/path", "not": true }, { "$and": [cond1, cond2] } for AND, { "$or": [cond1, cond2] } for OR. Helpers: visibility.when("/path"), visibility.unless("/path"), visibility.eq("/path", val), visibility.and(cond1, cond2), visibility.or(cond1, cond2).
Providers
| Provider | Purpose |
|---|---|
StateProvider |
Share state across components (JSON Pointer paths). Accepts optional store prop for controlled mode. |
ActionProvider |
Handle actions dispatched via the event system |
VisibilityProvider |
Enable conditional rendering based on state |
ValidationProvider |
Form field validation |
External Store (Controlled Mode)
Pass a StateStore to StateProvider (or JSONUIProvider / createRenderer) to use external state management (Redux, Zustand, XState, etc.):
import { createStateStore, type StateStore } from "@json-render/react";
const store = createStateStore({ count: 0 });
<StateProvider store={store}>{children}</StateProvider>
// Mutate from anywhere — React re-renders automatically:
store.set("/count", 1);
When store is provided, initialState and onStateChange are ignored.
Dynamic Prop Expressions
Any prop value can be a data-driven expression resolved by the renderer before components receive props:
{ "$state": "/state/key" }- reads from state model (one-way read){ "$bindState": "/path" }- two-way binding: reads from state and enables write-back. Use on the natural value prop (value, checked, pressed, etc.) of form components.{ "$bindItem": "field" }- two-way binding to a repeat item field. Use inside repeat scopes.{ "$cond": <condition>, "$then": <value>, "$else": <value> }- conditional value{ "$template": "Hello, ${/name}!" }- interpolates state values into strings{ "$computed": "fn", "args": { ... } }- calls registered functions with resolved args
{
"type": "Input",
"props": {
"value": { "$bindState": "/form/email" },
"placeholder": "Email"
}
}
Components do not use a statePath prop for two-way binding. Use { "$bindState": "/path" } on the natural value prop instead.
Components receive already-resolved props. For two-way bound props, use the useBoundProp hook with the bindings map the renderer provides.
Register $computed functions via the functions prop on JSONUIProvider or createRenderer:
<JSONUIProvider
functions={{ fullName: (args) => `${args.first} ${args.last}` }}
>
Event System
Components use emit to fire named events, or on() to get an event handle with metadata. The element's on field maps events to action bindings:
// Simple event firing
Button: ({ props, emit }) => (
<button onClick={() => emit("press")}>{props.label}</button>
),
// Event handle with metadata (e.g. preventDefault)
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Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ 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.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- AAnika Rahman★★★★★Dec 24, 2024
I recommend react for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- LLiam Verma★★★★★Dec 20, 2024
react reduced setup friction for our internal harness; good balance of opinion and flexibility.
- YYash Thakker★★★★★Dec 12, 2024
Registry listing for react matched our evaluation — installs cleanly and behaves as described in the markdown.
- AAnika Huang★★★★★Nov 15, 2024
Useful defaults in react — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- AAmina Abebe★★★★★Nov 11, 2024
react is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- AAlexander Shah★★★★★Oct 6, 2024
react is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- XXiao Huang★★★★★Oct 2, 2024
Useful defaults in react — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- TTariq Okafor★★★★★Sep 25, 2024
Useful defaults in react — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- CChen White★★★★★Sep 21, 2024
react fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AAnika Ghosh★★★★★Sep 17, 2024
Registry listing for react matched our evaluation — installs cleanly and behaves as described in the markdown.
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