React renderer for json-render that turns JSON specs into React components. Use when working with @json-render/react, building React UIs from JSON, creating component catalogs, or rendering AI-generated specs.
npx skills add https://github.com/vercel-labs/json-render --skill react
React renderer that converts JSON specs into React component trees.
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} />;
}
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>
),
},
});
The React schema uses an element tree format:
{
"root": {
"type": "Card",
"props": { "title": "Hello" },
"children": [
{ "type": "Button", "props": { "label": "Click me" } }
]
}
}
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, { "$or": [cond1, cond2] } for OR. Helpers: visibility.when("/path"), visibility.unless("/path"), visibility.eq("/path", val), visibility.and(cond1, cond2), visibility.or(cond1, cond2).
| Provider | Purpose |
|----------|---------|
| StateProvider | Share state across components (JSON Pointer paths). Accepts optional store prop for controlled mode. |
| ActionProvider | Handle actions dispatched via the event system |
| VisibilityProvider | Enable conditional rendering based on state |
| ValidationProvider | Form field validation |
Pass a StateStore to StateProvider (or JSONUIProvider / createRenderer) to use external state management (Redux, Zustand, XState, etc.):
import { createStateStore, type StateStore } from "@json-render/react";
const store = createStateStore({ count: 0 });
<StateProvider store={store}>{children}</StateProvider>
// Mutate from anywhere — React re-renders automatically:
store.set("/count", 1);
When store is provided, initialState and onStateChange are ignored.
Any prop value can be a data-driven expression resolved by the renderer before components receive props:
{ "$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.repeat plus an $item visible condition on the same container renders only matching items: { "repeat": { "statePath": "/tasks", "key": "id" }, "visible": { "$item": "status", "eq": "todo" }, "children": ["task-card"] }. AND-composed $state conjuncts gate the container shell; $item/$index conjuncts filter items.{ "$cond": <condition>, "$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} ${args.last}` }}
>
Components use emit to fire named events, or on() to get an event handle with metadata. The element's on field maps events to action bindings:
// Simple event firing
Button: ({ props, emit }) => (
<button onClick={() => emit("press")}>{props.label}</button>
),
// Event handle with metadata (e.g. preventDefault)
Link: ({ props, on }) => {
const click = on("click");
return (
<a href={props.href} onClick={(e) => {
if (click.shouldPreventDefault) e.preventDefault();
click.emit();
}}>{props.label}</a>
);
},
{
"type": "Button",
"props": { "label": "Submit" },
"on": { "press": { "action": "submit" } }
}
The EventHandle returned by on() has: emit(), shouldPreventDefault (boolean), and bound (boolean).
Elements can declare a watch field (top-level, sibling of type/props/children) to trigger actions when state values change:
{
"type": "Select",
"props": { "value": { "$bindState": "/form/country" }, "options": ["US", "Canada"] },
"watch": { "/form/country": { "action": "loadCities" } },
"children": []
}
The setState, pushState, removeState, and validateForm actions are built into the React schema and handled automatically by ActionProvider. They are injected into AI prompts without needing to be declared in catalog actions:
{ "action": "setState", "params": { "statePath": "/activeTab", "value": "home" } }
{ "action": "pushState", "params": { "statePath": "/items", "value": { "text": "New" } } }
{ "action": "removeState", "params": { "statePath": "/items", "index": 0 } }
{ "action": "validateForm", "params": { "statePath": "/formResult" } }
validateForm validates all registered fields and writes { valid, errors } to state.
Note: statePath in action params (e.g. setState.statePath) targets the mutation path. Two-way binding in component props uses { "$bindState": "/path" } on the value prop, not statePath.
For form components that need two-way binding, use useBoundProp with the bindings map the renderer provides when a prop uses { "$bindState": "/path" } or { "$bindItem": "field" }:
import { useBoundProp } from "@json-render/react";
Input: ({ element, bindings }) => {
const [value, setValue] = useBoundProp<string>(
element.props.value,
bindings?.value
);
return (
<input
value={value ?? ""}
onChange={(e) => setValue(e.target.value)}
/>
);
},
useBoundProp(propValue, bindingPath) returns [value, setValue]. The value is the resolved prop; setValue writes back to the bound state path (no-op if not bound).
For building reusable component libraries not tied to a specific catalog (e.g. @json-render/shadcn):
import type { BaseComponentProps } from "@json-render/react";
const Card = ({ props, children }: BaseComponentProps<{ title?: string }>) => (
<div>{props.title}{children}</div>
);
defineRegistry conditionally requires the actions field only when the catalog declares actions. Catalogs with actions: {} can omit it.
| Export | Purpose |
|--------|---------|
| defineRegistry | Create a type-safe component registry from a catalog |
| Renderer | Render a spec using a registry |
| schema | Element tree schema (includes built-in state actions: setState, pushState, removeState, validateForm) |
| useStateStore | Access state context |
| useStateValue | Get single value from state |
| useBoundProp | Two-way binding for $bindState/$bindItem expressions |
| useActions | Access actions context |
| useAction | Get a single action dispatch function |
| useOptionalValidation | Non-throwing variant of useValidation (returns null if no provider) |
| useUIStream | Stream specs from an API endpoint |
| createStateStore | Create a framework-agnostic in-memory StateStore |
| StateStore | Interface for plugging in external state management |
| BaseComponentProps | Catalog-agnostic base type for reusable component libraries |
| EventHandle | Event handle type (emit, shouldPreventDefault, bound) |
| ComponentContext | Typed component context (catalog-aware) |
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Vendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons, plate readers, pumps) or needing unified programming across different vendors. Best for complex workflows, multi-vendor setups, simulation. For Opentrons-only protocols with official API, opentrons-integration may be simpler.
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.
Take vercel-labs/react from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.