lottie-animations▌
freshtechbro/claudedesignskills · updated Apr 8, 2026
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Lottie is a library for rendering After Effects animations in real-time on web, iOS, Android, and React Native. Created by Airbnb, it allows designers to ship animations as easily as shipping static assets. Animations are exported from After Effects as JSON files using the Bodymovin plugin, then rendered natively with minimal performance overhead.
Lottie Animations
Overview
Lottie is a library for rendering After Effects animations in real-time on web, iOS, Android, and React Native. Created by Airbnb, it allows designers to ship animations as easily as shipping static assets. Animations are exported from After Effects as JSON files using the Bodymovin plugin, then rendered natively with minimal performance overhead.
When to use Lottie:
- Designer-created animations that need pixel-perfect fidelity
- Complex animated icons and micro-interactions
- Loading animations and progress indicators
- Onboarding sequences and tutorial animations
- Marketing animations and promotional content
- Alternative to GIF/video with smaller file sizes and scalability
Key advantages:
- Vector-based (scalable without quality loss)
- Significantly smaller file sizes than GIF or video
- Editable at runtime (colors, speed, segments)
- Full designer control via After Effects
- Cross-platform rendering consistency
- Interactive controls (play, pause, seek, loop)
Core Concepts
Lottie Format Types
1. JSON Lottie (.json)
- Original Lottie format
- Exported from After Effects via Bodymovin plugin
- Human-readable JSON structure
- Larger file sizes (not compressed)
- Widely supported across all platforms
2. dotLottie (.lottie)
- Modern compressed format
- ZIP archive containing JSON + assets
- Supports multiple animations and themes in one file
- Smaller file sizes (up to 90% reduction)
- Recommended for production use
Library Options
lottie-web (original library):
import lottie from 'lottie-web';
lottie.loadAnimation({
container: document.getElementById('lottie-container'),
renderer: 'svg', // or 'canvas', 'html'
loop: true,
autoplay: true,
path: 'animation.json' // or animationData: jsonData
});
@lottiefiles/dotlottie-web (modern, recommended):
import { DotLottie } from '@lottiefiles/dotlottie-web';
new DotLottie({
canvas: document.getElementById('canvas'),
src: 'animation.lottie',
autoplay: true,
loop: true
});
@lottiefiles/dotlottie-react (React integration):
import { DotLottieReact } from '@lottiefiles/dotlottie-react';
<DotLottieReact
src="animation.lottie"
loop
autoplay
style={{ height: 300 }}
/>
lottie-react (alternative React wrapper):
import Lottie from 'lottie-react';
import animationData from './animation.json';
<Lottie animationData={animationData} loop={true} />
Animation Data Sources
1. LottieFiles (lottie.host)
- 100,000+ free animations
- Direct URL embedding
- CDN hosting
2. Local JSON/dotLottie files
- Bundled with application
- Better performance (no network request)
- Version control friendly
3. After Effects export
- Custom designer animations
- Bodymovin plugin required
- Export settings critical for file size
Common Patterns
1. Basic HTML Integration with dotLottie-web
<!DOCTYPE html>
<html>
<head>
<style>
#canvas {
width: 400px;
height: 400px;
}
</style>
</head>
<body>
<canvas id="canvas"></canvas>
<script type="module">
import { DotLottie } from 'https://cdn.jsdelivr.net/npm/@lottiefiles/dotlottie-web/+esm';
new DotLottie({
canvas: document.getElementById('canvas'),
src: 'https://lottie.host/4db68bbd-31f6-4cd8-84eb-189de081159a/IGmMCqhzpt.lottie',
autoplay: true,
loop: true
});
</script>
</body>
</html>
2. React Component with Controls
import React from 'react';
import { DotLottieReact } from '@lottiefiles/dotlottie-react';
const AnimatedButton = () => {
const [dotLottie, setDotLottie] = React.useState(null);
const handlePlay = () => dotLottie?.play();
const handlePause = () => dotLottie?.pause();
const handleStop = () => dotLottie?.stop();
const handleSeek = (frame) => dotLottie?.setFrame(frame);
return (
<div>
<DotLottieReact
src="button-animation.lottie"
loop
autoplay={false}
dotLottieRefCallback={setDotLottie}
style={{ height: 200 }}
/>
<div>
<button onClickHow to use lottie-animations on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add lottie-animations
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches lottie-animations from GitHub repository freshtechbro/claudedesignskills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate lottie-animations. Access the skill through slash commands (e.g., /lottie-animations) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★48 reviews- ★★★★★Mateo Malhotra· Dec 12, 2024
I recommend lottie-animations for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Zaid Farah· Dec 8, 2024
lottie-animations reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Omar Gonzalez· Dec 8, 2024
Keeps context tight: lottie-animations is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Shikha Mishra· Dec 4, 2024
lottie-animations has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Lucas Taylor· Nov 27, 2024
lottie-animations has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Lucas Bhatia· Nov 27, 2024
lottie-animations is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Rahul Santra· Nov 23, 2024
lottie-animations reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Noah Smith· Nov 3, 2024
Registry listing for lottie-animations matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Arya Harris· Nov 3, 2024
Solid pick for teams standardizing on skills: lottie-animations is focused, and the summary matches what you get after install.
- ★★★★★Noah Anderson· Oct 22, 2024
Useful defaults in lottie-animations — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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