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Image

OrganizationPopular
vercel-labs
image

Image renderer for json-render that turns JSON specs into SVG and PNG images via Satori. Use when working with @json-render/image, generating OG images from JSON, creating social cards, or rendering AI-generated image specs.

Overview

Publishervercel-labs
Repositoryjson-render
Skill nameimage
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 Image 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/image .claude/skills/image
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Image 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 Image 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 Image 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/image

Image renderer that converts JSON specs into SVG and PNG images using Satori.

Quick Start

typescript
import { renderToPng } from "@json-render/image/render";
import type { Spec } from "@json-render/core";

const spec: Spec = {
  root: "frame",
  elements: {
    frame: {
      type: "Frame",
      props: { width: 1200, height: 630, backgroundColor: "#1a1a2e" },
      children: ["heading"],
    },
    heading: {
      type: "Heading",
      props: { text: "Hello World", level: "h1", color: "#ffffff" },
      children: [],
    },
  },
};

const png = await renderToPng(spec, {
  fonts: [{ name: "Inter", data: fontData, weight: 400, style: "normal" }],
});

Using Standard Components

typescript
import { defineCatalog } from "@json-render/core";
import { schema, standardComponentDefinitions } from "@json-render/image";

export const imageCatalog = defineCatalog(schema, {
  components: standardComponentDefinitions,
});

Adding Custom Components

typescript
import { z } from "zod";

const catalog = defineCatalog(schema, {
  components: {
    ...standardComponentDefinitions,
    Badge: {
      props: z.object({ label: z.string(), color: z.string().nullable() }),
      slots: [],
      description: "A colored badge label",
    },
  },
});

Standard Components

ComponentCategoryDescription
FrameRootRoot container. Defines width, height, background. Must be root.
BoxLayoutContainer with padding, margin, border, absolute positioning
RowLayoutHorizontal flex layout
ColumnLayoutVertical flex layout
HeadingContenth1-h4 heading text
TextContentBody text with full styling
ImageContentImage from URL
DividerDecorativeHorizontal line separator
SpacerDecorativeEmpty vertical space

Key Exports

ExportPurpose
renderToSvgRender spec to SVG string
renderToPngRender spec to PNG buffer (requires @resvg/resvg-js)
schemaImage element schema
standardComponentsPre-built component registry
standardComponentDefinitionsCatalog definitions for AI prompts

Sub-path Exports

ExportDescription
@json-render/imageFull package: schema, components, render functions
@json-render/image/serverSchema and catalog definitions only (no React/Satori)
@json-render/image/catalogStandard component definitions and types
@json-render/image/renderRender functions only

Frequently asked questions

What does the Image AI skill do?

Image renderer for json-render that turns JSON specs into SVG and PNG images via Satori. Use when working with @json-render/image, generating OG images from JSON, creating social cards, or rendering AI-generated image specs.

Why use Image on TypingMind?

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

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

Which AI models can use Image?

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 Image?

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

Is the Image 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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