json-render-react-native

vercel-labs/json-render · updated Apr 8, 2026

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$npx skills add https://github.com/vercel-labs/json-render --skill json-render-react-native
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summary

React Native renderer that converts JSON specs into native mobile component trees with standard components, data binding, visibility, actions, and dynamic props.

skill.md

@json-render/react-native

React Native renderer that converts JSON specs into native mobile component trees with standard components, data binding, visibility, actions, and dynamic props.

Quick Start

import { defineCatalog } from "@json-render/core";
import { schema } from "@json-render/react-native/schema";
import {
  standardComponentDefinitions,
  standardActionDefinitions,
} from "@json-render/react-native/catalog";
import { defineRegistry, Renderer, type Components } from "@json-render/react-native";
import { z } from "zod";

// Create catalog with standard + custom components
const catalog = defineCatalog(schema, {
  components: {
    ...standardComponentDefinitions,
    Icon: {
      props: z.object({ name: z.string(), size: z.number().nullable(), color: z.string().nullable() }),
      slots: [],
      description: "Icon display",
    },
  },
  actions: standardActionDefinitions,
});

// Register only custom components (standard ones are built-in)
const { registry } = defineRegistry(catalog, {
  components: {
    Icon: ({ props }) => <Ionicons name={props.name} size={props.size ?? 24} />,
  } as Components<typeof catalog>,
});

// Render
function App({ spec }) {
  return (
    <StateProvider initialState={{}}>
      <VisibilityProvider>
        <ActionProvider handlers={{}}>
          <Renderer spec={spec} registry={registry} />
        </ActionProvider>
      </VisibilityProvider>
    </StateProvider>
  );
}

Standard Components

Layout

  • Container - wrapper with padding, background, border radius
  • Row - horizontal flex layout with gap, alignment
  • Column - vertical flex layout with gap, alignment
  • ScrollContainer - scrollable area (vertical or horizontal)
  • SafeArea - safe area insets for notch/home indicator
  • Pressable - touchable wrapper that triggers actions on press
  • Spacer - fixed or flexible spacing
  • Divider - thin line separator

Content

  • Heading - heading text (levels 1-6)
  • Paragraph - body text
  • Label - small label text
  • Image - image display with sizing modes
  • Avatar - circular avatar image
  • Badge - small status badge
  • Chip - tag/chip for categories

Input

  • Button - pressable button with variants
  • TextInput - text input field
  • Switch - toggle switch
  • Checkbox - checkbox with label
  • Slider - range slider
  • SearchBar - search input

Feedback

  • Spinner - loading indicator
  • ProgressBar - progress indicator

Composite

  • Card - card container with optional header
  • ListItem - list row with title, subtitle, accessory
  • Modal - bottom sheet modal

Visibility Conditions

Use visible on elements. Syntax: { "$state": "/path" }, { "$state": "/path", "eq": value }, { "$state": "/path", "not": true }, [ cond1, cond2 ] for AND.

Pressable + setState Pattern

Use Pressable with the built-in setState action for interactive UIs like tab bars:

{
  "type": "Pressable",
  "props": {
    "action": "setState",
    "actionParams": { "statePath": "/activeTab", "value": "home" }
  },
  "children": ["home-icon", "home-label"]
}

Dynamic Prop Expressions

Any prop value can be a data-driven expression resolved at render time:

  • { "$state": "/state/key" } - reads from state model (one-way read)
  • { "$bindState": "/path" } - two-way binding: 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
{
  "type": "TextInput",
  "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.

Built-in Actions

The setState action is handled automatically by ActionProvider and updates the state model directly, which re-evaluates visibility conditions and dynamic prop expressions:

{ "action": "setState", "actionParams": { "statePath": "/activeTab", "value": "home" } }

Providers

Provider Purpose
StateProvider Share state across components (JSON Pointer paths). Accepts optional store prop for controlled mode.
ActionProvider Handle actions dispatched from components
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:

import { createStateStore, type StateStore } from "@json-render/react-native";

const store = createStateStore({ count: 0 });

<StateProvider store={store}>{children}</StateProvider>

store.set("/count", 1); // React re-renders automatically

When store is provided, initialState and onStateChange are ignored.

Key Exports

Export Purpose
defineRegistry Create a type-safe component registry from a catalog
Renderer Render a spec using a registry
schema React Native element tree schema
standardComponentDefinitions Catalog definitions for all standard components
standardActionDefinitions Catalog definitions for standard actions
standardComponents Pre-built component implementations
createStandardActionHandlers Create handlers for standard actions
useStateStore Access state context
useStateValue Get single value from state
useBoundProp Two-way state binding via $bindState/$bindItem
useStateBinding (deprecated) Legacy two-way binding by path
useActions Access actions context
useAction Get a single action dispatch function
useUIStream Stream specs from an API endpoint
createStateStore Create a framework-agnostic in-memory StateStore
StateStore Interface for plugging in external state management
how to use json-render-react-native

How to use json-render-react-native on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add json-render-react-native
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/vercel-labs/json-render --skill json-render-react-native

The skills CLI fetches json-render-react-native from GitHub repository vercel-labs/json-render and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/json-render-react-native

Reload or restart Cursor to activate json-render-react-native. Access the skill through slash commands (e.g., /json-render-react-native) or your agent's skill management interface.

Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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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

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.437 reviews
  • Pratham Ware· Dec 28, 2024

    json-render-react-native reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chaitanya Patil· Dec 4, 2024

    Solid pick for teams standardizing on skills: json-render-react-native is focused, and the summary matches what you get after install.

  • Ren Nasser· Dec 4, 2024

    json-render-react-native reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Piyush G· Nov 23, 2024

    We added json-render-react-native from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Henry Nasser· Nov 7, 2024

    Solid pick for teams standardizing on skills: json-render-react-native is focused, and the summary matches what you get after install.

  • Hana Robinson· Oct 26, 2024

    json-render-react-native has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Shikha Mishra· Oct 14, 2024

    json-render-react-native fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sakura Ndlovu· Sep 17, 2024

    Keeps context tight: json-render-react-native is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Kwame Martin· Sep 5, 2024

    Useful defaults in json-render-react-native — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Maya Ghosh· Sep 1, 2024

    I recommend json-render-react-native for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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