Solid logo

Solid

OrganizationPopular
vercel-labs
solid

SolidJS renderer for json-render. Use when building @json-render/solid catalogs/registries, wiring Renderer providers, implementing bindings/actions, or troubleshooting Solid-specific reactivity patterns.

Overview

Publishervercel-labs
Repositoryjson-render
Skill namesolid
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 Solid 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/solid .claude/skills/solid
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Solid 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 Solid 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 Solid 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/solid

@json-render/solid renders json-render specs into Solid component trees with fine-grained reactivity.

Quick Start

tsx
import { Renderer, JSONUIProvider } from "@json-render/solid";
import type { Spec } from "@json-render/solid";
import { registry } from "./registry";

export function App(props: { spec: Spec | null }) {
  return (
    <JSONUIProvider registry={registry} initialState={{}}>
      <Renderer spec={props.spec} registry={registry} />
    </JSONUIProvider>
  );
}

Create a Catalog

typescript
import { defineCatalog } from "@json-render/core";
import { schema } from "@json-render/solid/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",
    },
    Card: {
      props: z.object({ title: z.string() }),
      description: "Card container",
    },
  },
  actions: {
    submit: { description: "Submit data" },
  },
});

Define Components

Components receive ComponentRenderProps from the renderer:

ts
interface ComponentRenderProps<P = Record<string, unknown>> {
  element: UIElement<string, P>;
  children?: JSX.Element;
  emit: (event: string) => void;
  on: (event: string) => EventHandle;
  bindings?: Record<string, string>;
  loading?: boolean;
}

Example:

tsx
import type { BaseComponentProps } from "@json-render/solid";

export function Button(props: BaseComponentProps<{ label: string }>) {
  return (
    <button onClick={() => props.emit("press")}>{props.props.label}</button>
  );
}

Create a Registry

typescript
import { defineRegistry } from "@json-render/solid";
import { catalog } from "./catalog";
import { Card } from "./Card";
import { Button } from "./Button";

const { registry, handlers, executeAction } = defineRegistry(catalog, {
  components: {
    Card,
    Button,
  },
  actions: {
    submit: async (params, setState, state) => {
      // custom action logic
    },
  },
});

Spec Structure

json
{
  "root": "card1",
  "elements": {
    "card1": {
      "type": "Card",
      "props": { "title": "Hello" },
      "children": ["btn1"]
    },
    "btn1": {
      "type": "Button",
      "props": { "label": "Click me" },
      "on": {
        "press": { "action": "submit" }
      }
    }
  }
}

Providers

  • StateProvider: state model read/write and controlled mode via store
  • VisibilityProvider: evaluates visible conditions
  • ValidationProvider: field validation + validateForm integration
  • ActionProvider: runs built-in and custom actions
  • JSONUIProvider: combined provider wrapper

Hooks

  • useStateStore, useStateValue, useStateBinding
  • useVisibility, useIsVisible
  • useActions, useAction
  • useValidation, useOptionalValidation, useFieldValidation
  • useBoundProp
  • useUIStream, useChatUI

Built-in Actions

Handled automatically by ActionProvider:

  • setState
  • pushState
  • removeState
  • validateForm

Dynamic Props and Bindings

Nested lists can set repeat.statePath to { "$item": "field" } inside an enclosing repeat.

Supported expression forms include:

  • {"$state": "/path"}
  • {"$bindState": "/path"}
  • {"$bindItem": "field"}
  • {"$template": "Hi ${/user/name}"}
  • {"$computed": "fn", "args": {...}}
  • {"$cond": <condition>, "$then": <value>, "$else": <value>}

Use useBoundProp in components for writable bound values:

tsx
import { useBoundProp } from "@json-render/solid";

function Input(props: BaseComponentProps<{ value?: string }>) {
  const [value, setValue] = useBoundProp(
    props.props.value,
    props.bindings?.value,
  );
  return (
    <input
      value={String(value() ?? "")}
      onInput={(e) => setValue(e.currentTarget.value)}
    />
  );
}

useStateValue, useStateBinding, and the state / errors / isValid fields from useFieldValidation are reactive accessors in Solid. Call them as functions inside JSX, createMemo, or createEffect.

Solid Reactivity Rules

  • Do not destructure component props in function signatures when values need to stay reactive.
  • Keep changing reads inside JSX expressions, createMemo, or createEffect.
  • Context values are exposed through getter-based objects so consumers always observe live signals.

Streaming UI

tsx
import { useUIStream, Renderer } from "@json-render/solid";

const stream = useUIStream({ api: "/api/generate-ui" });
await stream.send("Create a support dashboard");

<Renderer
  spec={stream.spec}
  registry={registry}
  loading={stream.isStreaming}
/>;

Use useChatUI for chat + UI generation flows.

Frequently asked questions

What does the Solid AI skill do?

SolidJS renderer for json-render. Use when building @json-render/solid catalogs/registries, wiring Renderer providers, implementing bindings/actions, or troubleshooting Solid-specific reactivity patterns.

Why use Solid on TypingMind?

Because you install it once and use it with any model. Solid 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 Solid in TypingMind?

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

Which AI models can use Solid?

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 Solid?

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

Is the Solid 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇