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Codegen

OrganizationPopular
vercel-labs
codegen

Code generation utilities for json-render. Use when generating code from UI specs, building custom code exporters, traversing specs, or serializing props for @json-render/codegen.

Overview

Publishervercel-labs
Repositoryjson-render
Skill namecodegen
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 Codegen 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/codegen .claude/skills/codegen
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codegen 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 Codegen 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 Codegen 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/codegen

Framework-agnostic utilities for generating code from json-render UI trees. Use these to build custom code exporters for Next.js, Remix, or other frameworks.

Installation

bash
npm install @json-render/codegen

Tree Traversal

typescript
import {
  traverseSpec,
  collectUsedComponents,
  collectStatePaths,
  collectActions,
} from "@json-render/codegen";

// Walk the spec depth-first
traverseSpec(spec, (element, key, depth, parent) => {
  console.log(`${" ".repeat(depth * 2)}${key}: ${element.type}`);
});

// Get all component types used
const components = collectUsedComponents(spec);
// Set { "Card", "Metric", "Button" }

// Get all state paths referenced
const statePaths = collectStatePaths(spec);
// Set { "analytics/revenue", "user/name" }

// Get all action names
const actions = collectActions(spec);
// Set { "submit_form", "refresh_data" }

Serialization

typescript
import {
  serializePropValue,
  serializeProps,
  escapeString,
  type SerializeOptions,
} from "@json-render/codegen";

// Serialize a single value
serializePropValue("hello");
// { value: '"hello"', needsBraces: false }

serializePropValue({ $state: "/user/name" });
// { value: '{ $state: "/user/name" }', needsBraces: true }

// Serialize props for JSX
serializeProps({ title: "Dashboard", columns: 3, disabled: true });
// 'title="Dashboard" columns={3} disabled'

// Escape strings for code
escapeString('hello "world"');
// 'hello \"world\"'

SerializeOptions

typescript
interface SerializeOptions {
  quotes?: "single" | "double";
  indent?: number;
}

Types

typescript
import type { GeneratedFile, CodeGenerator } from "@json-render/codegen";

const myGenerator: CodeGenerator = {
  generate(spec) {
    return [
      { path: "package.json", content: "..." },
      { path: "app/page.tsx", content: "..." },
    ];
  },
};

Building a Custom Generator

typescript
import {
  collectUsedComponents,
  collectStatePaths,
  traverseSpec,
  serializeProps,
  type GeneratedFile,
} from "@json-render/codegen";
import type { Spec } from "@json-render/core";

export function generateNextJSProject(spec: Spec): GeneratedFile[] {
  const files: GeneratedFile[] = [];
  const components = collectUsedComponents(spec);
  // Generate package.json, component files, main page...
  return files;
}

Frequently asked questions

What does the Codegen AI skill do?

Code generation utilities for json-render. Use when generating code from UI specs, building custom code exporters, traversing specs, or serializing props for @json-render/codegen.

Why use Codegen on TypingMind?

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

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

Which AI models can use Codegen?

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 Codegen?

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

Is the Codegen 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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