Lottie Animation logo

Lottie Animation

Organization
iart-ai
lottie-animation

This skill should be used when the user asks to "add a Lottie animation", "play a .lottie or .json animation", "integrate a Bodymovin/After Effects animation on web or mobile", "control Lottie playback / segments", "make a scroll-driven Lottie", "recolor a Lottie at runtime", or "export an AE animation to Lottie". Covers dotLottie/lottie-web integration, playback control, interactivity, theming, and the AE export checklist.

Overview

Publisheriart-ai
Repositoryweb-animation-skills
Skill namelottie-animation
Stars
71
Forks
10
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

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

  • Open source

    Published by iart-ai on GitHub. Read the source before you install it.

Installation

Install the Lottie Animation 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.
    https://github.com/iart-ai/web-animation-skills/tree/main/skills/lottie-animation
  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/iart-ai/web-animation-skills.git /tmp/web-animation-skills
mkdir -p .claude/skills
cp -r /tmp/web-animation-skills/skills/lottie-animation .claude/skills/lottie-animation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lottie Animation 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 Lottie Animation 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 Lottie Animation 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.

Lottie Animation

The bridge from After Effects to product: vector animation shipped as JSON (or zipped .lottie), tiny and resolution-independent, played by a runtime on web, iOS, Android, and React Native. This skill covers integrating, controlling, and exporting Lottie.

When to use

  • Ship a designer's AE animation to web/iOS/Android/React Native
  • Looping illustrations, onboarding, empty states, animated icons
  • Scroll-driven or interaction-driven vector playback (hover, click, cursor)
  • Runtime theming/recoloring instead of re-exporting per brand

Formats: .json vs .lottie

  • .json — the raw Bodymovin output. Human-readable, larger.
  • .lottie — a zipped container (often 60–80% smaller) that can bundle multiple animations, images, and theming. Preferred for shipping. Player: @lottiefiles/dotlottie-web (modern, canvas + WASM) supersedes the older lottie-web.

Prefer the dotLottie runtime for new work; use lottie-web only for legacy .json + SVG renderer needs.

Core workflow (web, dotLottie)

bash
npm i @lottiefiles/dotlottie-web        # vanilla
npm i @lottiefiles/dotlottie-react      # React wrapper

Vanilla:

js
import { DotLottie } from "@lottiefiles/dotlottie-web";

const dotLottie = new DotLottie({
  canvas: document.querySelector("#lottie"),  // a <canvas> element
  src: "/hero.lottie",                         // or .json
  loop: true,
  autoplay: true,
  // speed: 1, mode: "forward" | "reverse" | "bounce", renderConfig: { autoResize: true }
});

React:

jsx
import { DotLottieReact } from "@lottiefiles/dotlottie-react";

function Hero() {
  return <DotLottieReact src="/hero.lottie" loop autoplay style={{ width: 320 }} />;
}

Capture the instance to control it:

jsx
const [dl, setDl] = useState(null);
<DotLottieReact src="/icon.lottie" dotLottieRefCallback={setDl} />;
// dl?.play(); dl?.pause(); dl?.setSpeed(2);

Playback control

js
dotLottie.play();
dotLottie.pause();
dotLottie.stop();
dotLottie.setSpeed(1.5);
dotLottie.setMode("bounce");        // forward | reverse | bounce | reverse-bounce
dotLottie.setFrame(42);             // jump to a frame
dotLottie.setSegment(30, 90);       // constrain playback to a frame range (e.g. a "loading" loop)

Events drive sequencing and UI:

js
dotLottie.addEventListener("load", () => { /* totalFrames now available */ });
dotLottie.addEventListener("complete", () => { /* non-looping playback finished */ });
dotLottie.addEventListener("frame", ({ currentFrame }) => { /* per-frame */ });

State-machine style (e.g. button that plays "checked" segment then idles): play a segment, listen for complete, then setSegment to the idle loop.

Scroll-driven Lottie (no GSAP needed)

Map scroll progress (0–1) to a frame. Pause autoplay and drive frames yourself.

js
const dotLottie = new DotLottie({ canvas, src: "/scroll.lottie", autoplay: false });
let total = 0;
dotLottie.addEventListener("load", () => { total = dotLottie.totalFrames; });

window.addEventListener("scroll", () => {
  const el = canvas.closest(".scrolly");
  const rect = el.getBoundingClientRect();
  const p = clamp(-rect.top / (rect.height - window.innerHeight), 0, 1); // 0..1 through the section
  dotLottie.setFrame(p * (total - 1));
}, { passive: true });

const clamp = (v, lo, hi) => Math.min(hi, Math.max(lo, v));

For richer interaction (hover-to-play, click toggles, cursor-follow) without writing the wiring, use @lottiefiles/lottie-interactivity, which maps scroll, hover, click, play, and cursor modes to frame ranges declaratively.

Runtime theming / recoloring

Two paths:

  • dotLottie themes: a .lottie can embed named color themes; switch with dotLottie.setTheme("dark") / loadTheme(...). Authored in LottieFiles tooling — no re-export to recolor.
  • Manual color override: load the JSON, walk layers[].shapes[] and patch c.k color arrays (normalized 0–1 RGBA), then init the player with the modified object. Brittle (depends on layer structure) — prefer themes or CSS-driven SVG-renderer (lottie-web rendererSettings) when you must restyle by class.

Mobile runtimes (parity)

  • iOS — lottie-ios (LottieAnimationView): .play(), .currentProgress, .play(fromFrame:toFrame:).
  • Android — lottie-android (LottieAnimationView / Compose LottieAnimation): setMinAndMaxFrame, progress.
  • React Native — lottie-react-native (<LottieView source={...} progress={anim} />, drive progress with Animated).

The same .lottie/.json plays across all; segments and progress concepts match the web API.

Optimization

  • Ship .lottie (zipped) over raw .json; lazy-load offscreen players and pause when not visible (IntersectionObserver → play/pause).
  • Prefer the canvas/WASM dotLottie renderer for many simultaneous animations; SVG renderer (lottie-web) is fine for one crisp icon but costs more DOM for complex files.
  • Keep AE comps small: fewer layers/keyframes, no large embedded rasters; flatten precomps where possible. File size tracks keyframe and path complexity, not duration.
  • Recolor at runtime (themes) instead of exporting a file per brand/theme.

Deliver & verify (standalone HTML)

Packaged helper (scripts/): scripts/seek-shot.sh anim.html 0 1.5 3 freezes the ?t=N harness and screenshots each moment; scripts/contact-sheet.sh sheet.png frame-*.png tiles them for one-glance review. See scripts/README.md.

For a self-contained Lottie demo (looping illustration, animated icon, empty state) the deliverable is one HTML file that opens directly in a browser — the dotLottie/lottie-web runtime from CDN, a <canvas>, and your .lottie/.json (a relative file or a data URL). No build step. One file is the right tier for shipping a player; don't reach for a bundler.

Output contract:

  • One .html file: the runtime via CDN (@lottiefiles/dotlottie-web), the canvas, and autoplay:false so the frame is yours to drive.
  • Include the seek harness so any frame can be frozen for a screenshot.

Seek harness — freeze an exact frame. ?t=N jumps to a frame and holds it so a screenshot lands on a still, deterministic frame. Lottie's playhead is in frames, so stop on the frame directly:

html
<script>
  const dl = new DotLottie({ canvas, src: "/icon.lottie", autoplay: false });
  dl.addEventListener("load", () => {
    const t = new URLSearchParams(location.search).get("t");
    if (t !== null) dl.setFrame(parseFloat(t));      // freeze on frame N (lottie-web: anim.goToAndStop(N, true))
    else dl.play();
    console.log("totalFrames", dl.totalFrames);       // read for end-frame
    window.__ready = true;
  });
</script>

Verify loop — render → freeze → screenshot → check: open the file at first / mid / last frame (?t=0, ?t=<total/2>, ?t=<total-1>; read totalFrames from the console), screenshot each, and check fidelity (colors/theme correct, segment loops where intended) plus artifacts (canvas blurry from missing autoResize/DPR, clipped composition, FOUC before the file loads, jank). Any headless tool works:

bash
npx playwright screenshot --wait-for-timeout=600 "file://$PWD/lottie.html?t=42" frame-mid.png

Before you finish:

  1. Opens standalone — no console errors, CDN runtime and the .lottie/.json load.
  2. ?t=N (setFrame/goToAndStop) freezes the correct, deterministic frame.
  3. Screenshotted at first / mid / last frame — matches the brief, sharp, no clipping.
  4. prefers-reduced-motion honored — don't autoplay a loop; show a static frame or offer a play control.
  5. Easing is intentional — playback speed/segment chosen on purpose, motion baked in AE reads as designed.

Quick reference

GoalCall
Play a rangesetSegment(start, end)
Jump to framesetFrame(n)
Reverse / bounce`setMode("reverse"
Scroll-driveautoplay:false + setFrame(p*totalFrames)
Theme swapsetTheme("dark")
Know lengthtotalFrames after load event
Declarative interactivity@lottiefiles/lottie-interactivity

Reference files

  • references/integration-and-export.md — full dotLottie-web + React setup and event/segment control, lottie-interactivity mode configs, scroll/cursor patterns, runtime theming details, and the complete After Effects → Bodymovin export checklist with the list of unsupported AE features and how to work around them.

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 Lottie Animation AI skill do?

This skill should be used when the user asks to "add a Lottie animation", "play a .lottie or .json animation", "integrate a Bodymovin/After Effects animation on web or mobile", "control Lottie playback / segments", "make a scroll-driven Lottie", "recolor a Lottie at runtime", or "export an AE animation to Lottie". Covers dotLottie/lottie-web integration, playback control, interactivity, theming, and the AE export checklist.

Why use Lottie Animation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/iart-ai/web-animation-skills/tree/main/skills/lottie-animation. 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 Lottie Animation?

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 Lottie Animation?

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

Is the Lottie Animation AI skill free?

Yes. It is published on GitHub by iart-ai under the MIT 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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