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React Native

OrganizationPopular
vercel-labs
react-native

React Native renderer for json-render that turns JSON specs into native mobile UIs. Use when working with @json-render/react-native, building React Native UIs from JSON, creating mobile component catalogs, or rendering AI-generated specs on mobile.

Overview

Publishervercel-labs
Repositoryjson-render
Skill namereact-native
Stars
16.5K
Forks
887
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vercel-labs on GitHub. Read the source before you install it.

Installation

Install the React Native AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vercel-labs/json-render.git /tmp/json-render
mkdir -p .claude/skills
cp -r /tmp/json-render/skills/react-native .claude/skills/react-native
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable React Native in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads React Native on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so React Native is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

@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

typescript
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:

json
{
  "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.
  • { "$bindItem": "field" } - two-way binding to a repeat item field. Use inside repeat scopes.
  • Nested lists use { "repeat": { "statePath": { "$item": "comments" } } } inside an enclosing repeat.
  • { "$cond": <condition>, "$then": <value>, "$else": <value> } - conditional value
json
{
  "type": "TextInput",
  "props": {
    "value": { "$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:

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

Providers

ProviderPurpose
StateProviderShare state across components (JSON Pointer paths). Accepts optional store prop for controlled mode.
ActionProviderHandle actions dispatched from components
VisibilityProviderEnable conditional rendering based on state
ValidationProviderForm field validation

External Store (Controlled Mode)

Pass a StateStore to StateProvider (or JSONUIProvider / createRenderer) to use external state management:

tsx
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

ExportPurpose
defineRegistryCreate a type-safe component registry from a catalog
RendererRender a spec using a registry
schemaReact Native element tree schema
standardComponentDefinitionsCatalog definitions for all standard components
standardActionDefinitionsCatalog definitions for standard actions
standardComponentsPre-built component implementations
createStandardActionHandlersCreate handlers for standard actions
useStateStoreAccess state context
useStateValueGet single value from state
useBoundPropTwo-way state binding via $bindState/$bindItem
useStateBinding(deprecated) Legacy two-way binding by path
useActionsAccess actions context
useActionGet a single action dispatch function
useUIStreamStream specs from an API endpoint
createStateStoreCreate a framework-agnostic in-memory StateStore
StateStoreInterface for plugging in external state management

Frequently asked questions

What does the React Native AI skill do?

React Native renderer for json-render that turns JSON specs into native mobile UIs. Use when working with @json-render/react-native, building React Native UIs from JSON, creating mobile component catalogs, or rendering AI-generated specs on mobile.

Why use React Native on TypingMind?

Because you install it once and use it with any model. React Native is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install React Native in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vercel-labs/json-render/tree/main/skills/react-native. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use React Native?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with React Native?

As many as you like. As long as a model supports skills, you can use React Native with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the React Native AI skill free?

Yes. It is published on GitHub by vercel-labs under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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