Remotion Interactivity logo

Remotion Interactivity

OrganizationPopular
remotion-dev
remotion-interactivity

Structure Remotion markup for interactivity

Overview

Publisherremotion-dev
Repositoryskills
Skill nameremotion-interactivity
Stars
4.6K
Forks
521
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by remotion-dev on GitHub. Read the source before you install it.

Installation

Install the Remotion Interactivity 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/remotion-dev/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/remotion-interactivity .claude/skills/remotion-interactivity
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Remotion Interactivity 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 Interactivity 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 Interactivity 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.

By writing Remotion markup in a specific way, the Remotion Studio is able to recognize the structure of the code and makes it interactive:

  • Allowing items to be selected by clicking on them
  • Allowing drag+drop, resizing and rotation
  • Editing the CSS styles
  • Making keyframes and easing values editable

If the markup is too complex for the Studio to make it interactive, then the values become grayed out.

Make an HTML element interactive using Interactive

Every HTML and SVG element (except <Img>, it already is interactive) such as <div> can be turned interactive using Interactive:

tsx
<Interactive.Div
  name="Greeting card"
  style={{fontSize: 80, padding: 24}}
>
  Hello
</Interactive.Div>

This allows styles and keyframes to be set in the Studio. Be sensible, if a component has many elements, the timeline might get messy.

Prefer inline text

If text is fixed and only used once, write it directly inside the interactive element instead of extracting it into a constant.

tsx
// 👍 Fixed copy stays editable
<Interactive.Div name="Title">
  Remotion Best Practices
</Interactive.Div>

Use a prop or variable only when the text is dynamic or reused.

Give interactive elements a descriptive name

Add a name prop to elements to make them easily identifyable. Avoid computed names, hardcode them.

tsx
<>
  <Interactive.Div name="Hero title" style={{fontSize: 80}}>
    Launch day
  </Interactive.Div>
  <Img name="Avatar" src="https://remotion.media/image.jpeg" />
  <Video name="Background" src="https://remotion.media/video.mp4" />
  <Sequence name="Title">
    Launch day
  </Sequence>
</>

Keep all CSS styles inline

The best way is to just pass a plain object to style - no referring to constants, no object spreading, no math.

tsx
<Interactive.Div
  style={{
    fontSize: 80,
    color: 'red',
  }}
>
  Hello World!
</Interactive.Div>
tsx
const baseStyle = useMemo(() => {
  return {
    fontSize: 12 // ❌ Non-inline styles are not supported
  }
}, []);

<Interactive.Div
  style={{
    ...baseStyle, // ❌ Spreading is not supported
    color: RED, // ❌ Referring to constants is not supported
    scale: frame * 10 // ❌ Math is not supported
  }}
>
  Hello World!
</Interactive.Div>

Animate using interpolate()

Write animations as inline interpolate() calls on the property that changes.
The output range, easing, extrapolation and output property should use hardcoded values.

The input range may additionally use durationInFrames, fps, width and height destructured directly from useVideoConfig(). Bare identifiers such as durationInFrames, multiplication with a number such as 2 * fps or fps * 2, and subtraction of a number such as durationInFrames - 1 are supported.

tsx
const {fps, durationInFrames} = useVideoConfig();

// 👍 Inline values can be standardized and keyframed
<Interactive.Div
  name="Product card"
  style={{
    color: 'white',
    fontSize: 80,
    scale: interpolate(frame, [0, fps], [0, 1], {
      easing: Easing.spring({damping: 200}),
      output: 'perceptual-scale',
      extrapolateLeft: 'clamp',
      extrapolateRight: 'clamp'
    }),
    rotate: interpolate(frame, [0, 1 * fps], ['0deg', '20deg'], {
      easing: Easing.spring({damping: 200}),
      extrapolateLeft: 'clamp',
      extrapolateRight: 'clamp'
    }),
    translate: interpolate(
      frame,
      [durationInFrames - 30, durationInFrames],
      ['0px 0px', '0px 120px'],
      {
        easing: Easing.spring({damping: 200}),
        output: 'perceptual-scale',
        extrapolateLeft: 'clamp',
        extrapolateRight: 'clamp'
      }
    ),
  }}
/>
tsx
const translateY = interpolate(frame, [0, 30], [0, 120]); // ❌ Math should be directly in the markup

<Interactive.Div
  name="Product card"
  style={{
    translate: translateY, // ❌ Only inline interpolate() calls are supported,
    rotate: interpolate(frame, [start, start + 10], [0, Math.PI]), // ❌ Cannot use math with arbitrary variables, cannot use constants
    scale: interpolate(anyVariable, [0, 30], [0, 1]) // ❌ Can only interpret the `frame` variable.
  }}
/>

Use scale, translate, rotate CSS properties

Avoid the transform CSS property.
If possible, use scale, rotate and translate instead because only they are interactively editable.

Keep composition metadata inline

When scaffolding a composition, keep width, height, fps, durationInFrames and defaultProps inline and make no type assertions.

The Props editor can save visual edits back to your code when defaultProps is an inline object literal on <Composition> or <Still>.

tsx
// 👍 Static values are in <Composition>, dynamic values are in calculateMetadata()
const calculateMetadata = useMemo(async () => {
  const dimensions = await getDimensions(); // just an example
  return {width: dimensions.width, height: dimensions.height};
});

<Composition
  id="my-video"
  component={MyComponent}
  durationInFrames={150}
  fps={30}
  calculateMetadata={calculateMetadata}
  defaultProps={{title: 'Hello', color: '#0b84ff'}}
/>
tsx
const defaultProps = {title: 'Hello', color: '#0b84ff'}; // ❌ Don't extract defaultProps, must be inline
const calculateMetadata = useMemo(() => {
  // ❌ Unnecessary because no calculation is being done,
  return {durationInFrames: 150, fps: 30, width: 1920, height: 1080};
});

<Composition
  id="my-video"
  component={MyComponent}
  calculateMetadata={calculateMetadata}
  defaultProps={{
    title: 'Hello',
  } as Props} // ❌ Don't have type assertions, instead type MyComponent correctly
/>

Use only calculateMetadata() for the part of the metadata that is dynamic.

Effects should be inline too

The effects array should not be computed.
The same rules for setting keyframes as interpolate() apply too here: All values should also be hardcoded: Input range, output range, easing, extrapolation, output property.

tsx
// 👍 Parameters are inline and the array shape is stable
<CanvasImage
  src={src}
  width={1280}
  height={720}
  effects={[
    radialProgressiveBlur({
      center: [0.5, 0.5],
      width: 1.2,
      height: 0.8,
      start: 0.2,
      disabled: true,
      rotation: interpolate(frame, [0, 120], [0, 180]),
    }),
  ]}
/>

const center = [0.5, 0.5] as const;
const rotation = frame * 1.5;

<CanvasImage
  src={src}
  width={1280}
  height={720}
  // ❌ Conditional effect is not animateable
  effects={enabled ? [
    radialProgressiveBlur({
      // ❌ Not inline
      center,
      rotation,
    }),
  ] : []}
/>

Render separate elements if one version should have effects and another should not.

Making your own component interactive

When using Interactive.withSchema(), include Interactive.baseSchema in the schema so standard timeline controls such as trimming and visibility remain available.

To make a custom userland component interactive, use: Make a component interactive

Video editing

If a Remotion component mainly consists of video and audio clips, see Video editing for best practices on how to structure Remotion markup so the clips are interactively editable in the timeline.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Remotion Interactivity AI skill do?

Structure Remotion markup for interactivity

Why use Remotion Interactivity on TypingMind?

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

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

Which AI models can use Remotion Interactivity?

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 Interactivity?

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

Is the Remotion Interactivity AI skill free?

It is published on GitHub by remotion-dev. Check the repository for licensing terms. 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 👇