Remotion

OrganizationPopular

vercel-labs

remotion

Remotion renderer for json-render that turns JSON timeline specs into videos. Use when working with @json-render/remotion, building video compositions from JSON, creating video catalogs, or rendering AI-generated video timelines.

Overview

Publisher	vercel-labs
Repository	`json-render`
Skill name	`remotion`
Stars	16.5K
Forks	887
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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 Remotion AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/remotion .claude/skills/remotion

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Remotion 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 Remotion 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 Remotion 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/remotion

Remotion renderer that converts JSON timeline specs into video compositions.

Quick Start

typescript
import { Player } from "@remotion/player";
import { Renderer, type TimelineSpec } from "@json-render/remotion";

function VideoPlayer({ spec }: { spec: TimelineSpec }) {
  return (
    <Player
      component={Renderer}
      inputProps={{ spec }}
      durationInFrames={spec.composition.durationInFrames}
      fps={spec.composition.fps}
      compositionWidth={spec.composition.width}
      compositionHeight={spec.composition.height}
      controls
    />
  );
}

Using Standard Components

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

export const videoCatalog = defineCatalog(schema, {
  components: standardComponentDefinitions,
  transitions: standardTransitionDefinitions,
  effects: standardEffectDefinitions,
});

Adding Custom Components

typescript
import { z } from "zod";

const catalog = defineCatalog(schema, {
  components: {
    ...standardComponentDefinitions,
    MyCustomClip: {
      props: z.object({ text: z.string() }),
      type: "scene",
      defaultDuration: 90,
      description: "My custom video clip",
    },
  },
});

// Pass custom component to Renderer
<Player
  component={Renderer}
  inputProps={{
    spec,
    components: { MyCustomClip: MyCustomComponent },
  }}
/>

Timeline Spec Structure

json
{
  "composition": { "id": "video", "fps": 30, "width": 1920, "height": 1080, "durationInFrames": 300 },
  "tracks": [{ "id": "main", "name": "Main", "type": "video", "enabled": true }],
  "clips": [
    { "id": "clip-1", "trackId": "main", "component": "TitleCard", "props": { "title": "Hello" }, "from": 0, "durationInFrames": 90 }
  ],
  "audio": { "tracks": [] }
}

Standard Components

Component	Type	Description
`TitleCard`	scene	Full-screen title with subtitle
`TypingText`	scene	Terminal-style typing animation
`ImageSlide`	image	Full-screen image display
`SplitScreen`	scene	Two-panel comparison
`QuoteCard`	scene	Quote with attribution
`StatCard`	scene	Animated statistic display
`TextOverlay`	overlay	Text overlay
`LowerThird`	overlay	Name/title overlay

Key Exports

Export	Purpose
`Renderer`	Render spec to Remotion composition
`schema`	Timeline schema
`standardComponents`	Pre-built component registry
`standardComponentDefinitions`	Catalog definitions
`useTransition`	Transition animation hook
`ClipWrapper`	Wrap clips with transitions

Frequently asked questions

What does the Remotion AI skill do?

Why use Remotion on TypingMind?

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

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

Which AI models can use Remotion?

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 Remotion?

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

Is the Remotion 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

@json-render/remotion

Quick Start

Using Standard Components

Adding Custom Components

Timeline Spec Structure

Standard Components

Key Exports

Frequently asked questions

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