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Shadcn

OrganizationPopular
vercel-labs
shadcn

Pre-built shadcn/ui components for json-render. Use when working with @json-render/shadcn, adding standard UI components to a catalog, or building web UIs with Radix UI + Tailwind CSS components.

Overview

Publishervercel-labs
Repositoryjson-render
Skill nameshadcn
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 Shadcn 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/shadcn .claude/skills/shadcn
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shadcn 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 Shadcn 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 Shadcn 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/shadcn

Pre-built shadcn/ui component definitions and implementations for json-render. Provides 36 components built on Radix UI + Tailwind CSS.

Two Entry Points

Entry PointExportsUse For
@json-render/shadcn/catalogshadcnComponentDefinitionsCatalog schemas (no React dependency, safe for server)
@json-render/shadcnshadcnComponentsReact implementations

Usage Pattern

Pick the components you need from the standard definitions. Do not spread all definitions -- explicitly select what your app uses:

typescript
import { defineCatalog } from "@json-render/core";
import { schema } from "@json-render/react/schema";
import { shadcnComponentDefinitions } from "@json-render/shadcn/catalog";
import { defineRegistry } from "@json-render/react";
import { shadcnComponents } from "@json-render/shadcn";

// Catalog: pick definitions
const catalog = defineCatalog(schema, {
  components: {
    Card: shadcnComponentDefinitions.Card,
    Stack: shadcnComponentDefinitions.Stack,
    Heading: shadcnComponentDefinitions.Heading,
    Button: shadcnComponentDefinitions.Button,
    Input: shadcnComponentDefinitions.Input,
  },
  actions: {},
});

// Registry: pick matching implementations
const { registry } = defineRegistry(catalog, {
  components: {
    Card: shadcnComponents.Card,
    Stack: shadcnComponents.Stack,
    Heading: shadcnComponents.Heading,
    Button: shadcnComponents.Button,
    Input: shadcnComponents.Input,
  },
});

State actions (setState, pushState, removeState) are built into the React schema and handled by ActionProvider automatically. No need to declare them.

Extending with Custom Components

Add custom components alongside standard ones:

typescript
const catalog = defineCatalog(schema, {
  components: {
    // Standard
    Card: shadcnComponentDefinitions.Card,
    Stack: shadcnComponentDefinitions.Stack,

    // Custom
    Metric: {
      props: z.object({
        label: z.string(),
        value: z.string(),
        trend: z.enum(["up", "down", "neutral"]).nullable(),
      }),
      description: "KPI metric display",
    },
  },
  actions: {},
});

const { registry } = defineRegistry(catalog, {
  components: {
    Card: shadcnComponents.Card,
    Stack: shadcnComponents.Stack,
    Metric: ({ props }) => <div>{props.label}: {props.value}</div>,
  },
});

Available Components

Layout

  • Card - Container with optional title, description, maxWidth, centered
  • Stack - Flex container with direction, gap, align, justify
  • Grid - Grid layout with columns (number) and gap
  • Separator - Visual divider with orientation

Navigation

  • Tabs - Tabbed navigation with tabs array, defaultValue, value
  • Accordion - Collapsible sections with items array and type (single/multiple)
  • Collapsible - Single collapsible section with title
  • Pagination - Page navigation with totalPages and page

Overlay

  • Dialog - Modal dialog with title, description, openPath
  • Drawer - Bottom drawer with title, description, openPath
  • Tooltip - Hover tooltip with content and text
  • Popover - Click-triggered popover with trigger and content
  • DropdownMenu - Dropdown with label and items array

Content

  • Heading - Heading text with level (h1-h4)
  • Text - Paragraph with variant (body, caption, muted, lead, code)
  • Image - Image with alt, width, height
  • Avatar - User avatar with src, name, size
  • Badge - Status badge with text and variant (default, secondary, destructive, outline)
  • Alert - Alert banner with title, message, type (success, warning, info, error)
  • Carousel - Scrollable carousel with items array
  • Table - Data table with columns (string[]) and rows (string[][])

Feedback

  • Progress - Progress bar with value, max, label
  • Skeleton - Loading placeholder with width, height, rounded
  • Spinner - Loading spinner with size and label

Input

  • Button - Button with label, variant (primary, secondary, danger), disabled
  • Link - Anchor link with label and href
  • Input - Text input with label, name, type, placeholder, value, checks
  • Textarea - Multi-line input with label, name, placeholder, rows, value, checks
  • Select - Dropdown select with label, name, options (string[]), value, checks
  • Checkbox - Checkbox with label, name, checked, checks, validateOn
  • Radio - Radio group with label, name, options (string[]), value, checks, validateOn
  • Switch - Toggle switch with label, name, checked, checks, validateOn
  • Slider - Range slider with label, min, max, step, value
  • Toggle - Toggle button with label, pressed, variant
  • ToggleGroup - Group of toggles with items, type, value
  • ButtonGroup - Button group with buttons array and selected

Built-in Actions (from @json-render/react)

These are built into the React schema and handled by ActionProvider automatically. They appear in prompts without needing to be declared in the catalog.

  • setState - Set a value at a state path ({ statePath, value })
  • pushState - Push a value onto an array ({ statePath, value, clearStatePath? })
  • removeState - Remove an array item by index ({ statePath, index })
  • validateForm - Validate all fields, write { valid, errors } to state ({ statePath? })

Validation Timing (validateOn)

All form components support validateOn to control when validation runs:

  • "change" — validate on every input change (default for Select, Checkbox, Radio, Switch)
  • "blur" — validate when field loses focus (default for Input, Textarea)
  • "submit" — validate only on form submission

Important Notes

  • The /catalog entry point has no React dependency -- use it for server-side prompt generation
  • Components use Tailwind CSS classes -- your app must have Tailwind configured
  • Component implementations use bundled shadcn/ui primitives (not your app's components/ui/)
  • All form inputs support checks for validation (type + message pairs) and validateOn for timing
  • Events: inputs emit change/submit/focus/blur; buttons emit press; selects emit change/select

Frequently asked questions

What does the Shadcn AI skill do?

Pre-built shadcn/ui components for json-render. Use when working with @json-render/shadcn, adding standard UI components to a catalog, or building web UIs with Radix UI + Tailwind CSS components.

Why use Shadcn on TypingMind?

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

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

Which AI models can use Shadcn?

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 Shadcn?

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

Is the Shadcn 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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