core

Schema definition, catalog creation, and AI prompt generation for json-render specs. Define schemas with typed specs and catalogs using defineSchema , then create catalogs mapping component names to their props and descriptions Generate AI system prompts from catalogs with optional custom rules; supports spec streaming via JSONL patches with createSpecStreamCompiler Dynamic prop expressions enable state binding ( $state , $bindState ), conditionals ( $cond ), templating ( $template ), and...

npx skills add https://github.com/vercel-labs/json-render --skill core

@json-render/core

Core package for schema definition, catalog creation, and spec streaming.

Key Concepts

  • Schema: Defines the structure of specs and catalogs (use defineSchema)
  • Catalog: Maps component/action names to their definitions (use defineCatalog)
  • Spec: JSON output from AI that conforms to the schema
  • SpecStream: JSONL streaming format for progressive spec building

Defining a Schema

import { defineSchema } from "@json-render/core";

export const schema = defineSchema((s) => ({
  spec: s.object({
    // Define spec structure
  }),
  catalog: s.object({
    components: s.map({
      props: s.zod(),
      description: s.string(),
    }),
  }),
}), {
  promptTemplate: myPromptTemplate, // Optional custom AI prompt
});

Creating a Catalog

import { defineCatalog } from "@json-render/core";
import { schema } from "./schema";
import { z } from "zod";

export const catalog = defineCatalog(schema, {
  components: {
    Button: {
      props: z.object({
        label: z.string(),
        variant: z.enum(["primary", "secondary"]).nullable(),
      }),
      description: "Clickable button component",
    },
  },
});

Generating AI Prompts

const systemPrompt = catalog.prompt(); // Uses schema's promptTemplate
const systemPrompt = catalog.prompt({ customRules: ["Rule 1", "Rule 2"] });

SpecStream Utilities

For streaming AI responses (JSONL patches):

import { createSpecStreamCompiler } from "@json-render/core";

const compiler = createSpecStreamCompiler<MySpec>();

// Process streaming chunks
const { result, newPatches } = compiler.push(chunk);

// Get final result
const finalSpec = compiler.getResult();

Dynamic Prop Expressions

Any prop value can be a dynamic expression resolved at render time:

  • { "$state": "/state/key" } - reads a value from the state model (one-way read)
  • { "$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> } - evaluates a visibility condition and picks a branch
  • { "$template": "Hello, ${/user/name}!" } - interpolates ${/path} references with state values
  • { "$computed": "fnName", "args": { "key": <expression> } } - calls a registered function with resolved args

$cond uses the same syntax as visibility conditions ($state, eq, neq, not, arrays for AND). $then and $else can themselves be expressions (recursive).

Components do not use a statePath prop for two-way binding. Instead, use { "$bindState": "/path" } on the natural value prop (e.g. value, checked, pressed).

{
  "color": {
    "$cond": { "$state": "/activeTab", "eq": "home" },
    "$then": "#007AFF",
    "$else": "#8E8E93"
  },
  "label": { "$template": "Welcome, ${/user/name}!" },
  "fullName": {
    "$computed": "fullName",
    "args": {
      "first": { "$state": "/form/firstName" },
      "last": { "$state": "/form/lastName" }
    }
  }
}
import { resolvePropValue, resolveElementProps } from "@json-render/core";

const resolved = resolveElementProps(element.props, { stateModel: myState });

State Watchers

Elements can declare a watch field (top-level, sibling of type/props/children) to trigger actions when state values change:

{
  "type": "Select",
  "props": { "value": { "$bindState": "/form/country" }, "options": ["US", "Canada"] },
  "watch": {
    "/form/country": { "action": "loadCities", "params": { "country": { "$state": "/form/country" } } }
  },
  "children": []
}

Watchers only fire on value changes, not on initial render.

Validation

Built-in validation functions: required, email, url, numeric, minLength, maxLength, min, max, pattern, matches, equalTo, lessThan, greaterThan, requiredIf.

Cross-field validation uses $state expressions in args:

import { check } from "@json-render/core";

check.required("Field is required");
check.matches("/form/password", "Passwords must match");
check.lessThan("/form/endDate", "Must be before end date");
check.greaterThan("/form/startDate", "Must be after start date");
check.requiredIf("/form/enableNotifications", "Required when enabled");

User Prompt Builder

Build structured user prompts with optional spec refinement and state context:

import { buildUserPrompt } from "@json-render/core";

// Fresh generation
buildUserPrompt({ prompt: "create a todo app" });

// Refinement with edit modes (default: patch-only)
buildUserPrompt({ prompt: "add a toggle", currentSpec: spec, editModes: ["patch", "merge"] });

// With runtime state
buildUserPrompt({ prompt: "show data", state: { todos: [] } });

Available edit modes: "patch" (RFC 6902 JSON Patch), "merge" (RFC 7396 Merge Patch), "diff" (unified diff).

Spec Validation

Validate spec structure and auto-fix common issues:

import { validateSpec, autoFixSpec } from "@json-render/core";

const { valid, issues } = validateSpec(spec);
// issues include: missing_child, invalid_visible (malformed conditions),
// repeat_without_children, repeat_state_mismatch (statePath not an array in state)

const { spec: fixed, fixDetails } = autoFixSpec(spec);
// fixDetails entries are { message, lossy }. Lossless fixes relocate
// misplaced fields; lossy fixes prune dangling children references.
// In a repair loop, withhold lossy fixes until retries are exhausted:
const attempt = autoFixSpec(spec, { lossy: retriesExhausted });

Visibility Conditions

Control element visibility with state-based conditions. VisibilityContext is { stateModel: StateModel }.

import { visibility } from "@json-render/core";

// Syntax
{ "$state": "/path" }                    // truthiness
{ "$state": "/path", "not": true }      // falsy
{ "$state": "/path", "eq": value }      // equality
[ cond1, cond2 ]                         // implicit AND

// Helpers
visibility.when("/path")                 // { $state: "/path" }
visibility.unless("/path")               // { $state: "/path", not: true }
visibility.eq("/path", val)              // { $state: "/path", eq: val }
visibility.and(cond1, cond2)             // { $and: [cond1, cond2] }
visibility.or(cond1, cond2)              // { $or: [cond1, cond2] }
visibility.always                        // true
visibility.never                         // false

Built-in Actions in Schema

Schemas can declare builtInActions -- actions that are always available at runtime and auto-injected into prompts:

const schema = defineSchema(builder, {
  builtInActions: [
    { name: "setState", description: "Update a value in the state model" },
  ],
});

These appear in prompts as [built-in] and don't require handlers in defineRegistry.

StateStore

The StateStore interface allows external state management libraries (Redux, Zustand, XState, etc.) to be plugged into json-render renderers. The createStateStore factory creates a simple in-memory implementation:

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

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

store.get("/count");         // 0
store.set("/count", 1);      // updates and notifies subscribers
store.update({ "/a": 1, "/b": 2 }); // batch update

store.subscribe(() => {
  console.log(store.getSnapshot()); // { count: 1 }
});

The StateStore interface: get(path), set(path, value), update(updates), getSnapshot(), subscribe(listener).

Key Exports

ExportPurpose
defineSchemaCreate a new schema
defineCatalogCreate a catalog from schema
createStateStoreCreate a framework-agnostic in-memory StateStore
resolvePropValueResolve a single prop expression against data
resolveElementPropsResolve all prop expressions in an element
buildUserPromptBuild user prompts with refinement and state context
buildEditUserPromptBuild user prompt for editing existing specs
buildEditInstructionsGenerate prompt section for available edit modes
isNonEmptySpecCheck if spec has root and at least one element
deepMergeSpecRFC 7396 deep merge (null deletes, arrays replace, objects recurse)
diffToPatchesGenerate RFC 6902 JSON Patch operations from object diff
EditModeType: "patch" | "merge" | "diff"
validateSpecValidate spec structure
autoFixSpecAuto-fix common spec issues; classifies fixes lossy/lossless, { lossy: false } withholds pruning
createSpecStreamCompilerStream JSONL patches into spec
createJsonRenderTransformTransformStream separating text from JSONL in mixed streams
parseSpecStreamLineParse single JSONL line
applySpecStreamPatchApply patch to object
StateStoreInterface for plugging in external state management
ComputedFunctionFunction signature for $computed expressions
checkTypeScript helpers for creating validation checks
BuiltInActionType for built-in action definitions (name + description)
ActionBindingAction binding type (includes preventDefault field)

More skills from vercel

vercel-optimize
vercel
Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core...
officialdevelopmentdevops
writing-guidelines
vercel
Review docs/prose for Writing Guidelines compliance. Use when asked to "review my docs", "check writing style", "audit prose", "review docs voice and tone", or "check this page against the writing handbook".
officialdocumentcommunication
agent-friendly-apis
vercel
Companion skill for the Agent-Friendly APIs course on Vercel Academy. Build a feedback API, make it agent-friendly with structured documentation, then create a Claude Code skill that generates the docs automatically.
official
filesystem-agents
vercel
You are a knowledgeable teaching assistant for the Building Filesystem Agents course on Vercel Academy. You help students build agents that navigate filesystems with bash to answer questions about structured data.
official
add-provider-package
vercel
Guide for adding new AI provider packages to the AI SDK. Use when creating a new @ai-sdk/<provider> package to integrate an AI service into the SDK.
official
csv
vercel
Analyze and transform CSV data using bash tools
official
ai
vercel
Python `ai` module — models, agents, hooks, middleware, MCP, structured output
official
cron-jobs
vercel
Vercel Cron Jobs configuration and best practices. Use when adding, editing, or debugging scheduled tasks in vercel.json.
official