skills/remotion-video-toolkit/SKILL.md
Programmatic video creation with React using Remotion. Use when a user asks to create videos with code, generate personalized videos, build animated data visualizations, add TikTok-style captions, render video programmatically, or automate video production. Supports CLI rendering, AWS Lambda, and Google Cloud Run deployment.
npx skillsauth add tusosos/manus-knowledge-base remotion-video-toolkitInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Create videos programmatically using React and Remotion. Build reusable video templates as React components, render them to MP4/WebM via CLI or cloud infrastructure, and generate personalized videos at scale. Ideal for automated social media content, animated data visualizations, and dynamic video production pipelines.
When a user asks to create programmatic video, determine the task:
# Create a new Remotion project
npx create-video@latest my-video
cd my-video
npm start # Opens the Remotion Studio at http://localhost:3000
Project structure:
my-video/
src/
Root.tsx # Register all compositions
MyComposition.tsx # Your video component
remotion.config.ts # Render settings
Every Remotion video is a React component that uses useCurrentFrame() and useVideoConfig():
import { AbsoluteFill, useCurrentFrame, useVideoConfig, interpolate, spring } from "remotion";
interface MyVideoProps {
title: string;
subtitle: string;
bgColor: string;
}
export const MyVideo: React.FC<MyVideoProps> = ({ title, subtitle, bgColor }) => {
const frame = useCurrentFrame();
const { fps } = useVideoConfig();
// Animate title sliding in
const titleY = spring({ frame, fps, from: -100, to: 0, durationInFrames: 30 });
// Fade in subtitle after 20 frames
const subtitleOpacity = interpolate(frame, [20, 40], [0, 1], {
extrapolateRight: "clamp",
});
return (
<AbsoluteFill style={{ backgroundColor: bgColor, justifyContent: "center", alignItems: "center" }}>
<h1 style={{ fontSize: 80, color: "white", transform: `translateY(${titleY}px)` }}>
{title}
</h1>
<p style={{ fontSize: 36, color: "rgba(255,255,255,0.8)", opacity: subtitleOpacity }}>
{subtitle}
</p>
</AbsoluteFill>
);
};
Register the composition in Root.tsx:
import { Composition } from "remotion";
import { MyVideo } from "./MyVideo";
export const RemotionRoot: React.FC = () => {
return (
<Composition
id="MyVideo"
component={MyVideo}
durationInFrames={150}
fps={30}
width={1920}
height={1080}
defaultProps={{ title: "Hello World", subtitle: "Made with Remotion", bgColor: "#1a1a2e" }}
/>
);
};
import { AbsoluteFill, useCurrentFrame, Sequence } from "remotion";
interface CaptionWord {
text: string;
startFrame: number;
durationInFrames: number;
}
const captions: CaptionWord[] = [
{ text: "This", startFrame: 0, durationInFrames: 15 },
{ text: "is", startFrame: 15, durationInFrames: 10 },
{ text: "amazing!", startFrame: 25, durationInFrames: 20 },
];
export const CaptionOverlay: React.FC = () => {
const frame = useCurrentFrame();
const activeWord = captions.find(
(c) => frame >= c.startFrame && frame < c.startFrame + c.durationInFrames
);
return (
<AbsoluteFill style={{ justifyContent: "flex-end", alignItems: "center", paddingBottom: 120 }}>
{activeWord && (
<div style={{
fontSize: 64,
fontWeight: "bold",
color: "white",
textShadow: "2px 2px 8px rgba(0,0,0,0.8)",
backgroundColor: "rgba(0,0,0,0.5)",
padding: "8px 24px",
borderRadius: 12,
}}>
{activeWord.text}
</div>
)}
</AbsoluteFill>
);
};
# Render locally via CLI
npx remotion render MyVideo out/video.mp4
# Render with custom props
npx remotion render MyVideo out/video.mp4 --props='{"title":"Custom Title"}'
# Render a still frame (for thumbnails)
npx remotion still MyVideo out/thumbnail.png --frame=45
# Render with specific codec and quality
npx remotion render MyVideo out/video.mp4 --codec=h264 --crf=18
For batch rendering at scale:
# Render on AWS Lambda
npx remotion lambda render MyVideo --props='{"title":"Video 1"}'
# Render on Google Cloud Run
npx remotion cloudrun render MyVideo --props='{"title":"Video 1"}'
import { AbsoluteFill, useCurrentFrame, interpolate } from "remotion";
interface DataPoint { label: string; value: number; color: string; }
export const BarChart: React.FC<{ data: DataPoint[] }> = ({ data }) => {
const frame = useCurrentFrame();
const maxVal = Math.max(...data.map((d) => d.value));
return (
<AbsoluteFill style={{ padding: 80, justifyContent: "flex-end", backgroundColor: "#0f0f23" }}>
<div style={{ display: "flex", alignItems: "flex-end", gap: 20, height: "70%" }}>
{data.map((point, i) => {
const height = interpolate(frame, [i * 10, i * 10 + 30], [0, (point.value / maxVal) * 100], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
return (
<div key={i} style={{ flex: 1, textAlign: "center" }}>
<div style={{
height: `${height}%`,
backgroundColor: point.color,
borderRadius: "8px 8px 0 0",
transition: "height 0.3s",
}} />
<p style={{ color: "white", marginTop: 12, fontSize: 24 }}>{point.label}</p>
</div>
);
})}
</div>
</AbsoluteFill>
);
};
User request: "Generate a welcome video for each new user with their name"
# Generate videos from a JSON list of users
for user in $(jq -r '.[] | @base64' users.json); do
name=$(echo "$user" | base64 -d | jq -r '.name')
npx remotion render WelcomeVideo "out/welcome_${name}.mp4" \
--props="{\"userName\":\"${name}\"}"
done
User request: "Create a video showing our quarterly metrics animating in"
Build a composition using the BarChart component with quarterly data, render with:
npx remotion render SalesDashboard out/q4_report.mp4 \
--props='{"quarter":"Q4","revenue":1250000,"growth":12.5}'
User request: "Add animated captions to a video for TikTok"
Combine the CaptionOverlay with an OffthreadVideo source:
import { OffthreadVideo } from "remotion";
<AbsoluteFill>
<OffthreadVideo src="https://example.com/clip.mp4" />
<CaptionOverlay />
</AbsoluteFill>
useCurrentFrame() and interpolate() for all animations; avoid CSS transitions.<Sequence> to organize sections of your video timeline.<OffthreadVideo> over <Video> for better performance with video sources.crf (Constant Rate Factor) between 16-20 for good quality-to-size ratio.staticFile() to reference assets in the public/ folder.tools
Download video and audio from YouTube and other platforms with yt-dlp. Use when a user asks to download YouTube videos, extract audio from videos, download playlists, get subtitles, download specific formats or qualities, batch download, archive channels, extract metadata, embed thumbnails, download from social media platforms (Twitter, Instagram, TikTok), or build media ingestion pipelines. Covers format selection, audio extraction, playlists, subtitles, metadata, and automation.
development
Download YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality settings (best, 1080p, 720p, 480p, 360p), multiple formats (mp4, webm, mkv), and audio-only downloads as MP3.
development
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
development
Use when you have a spec or requirements for a multi-step task, before touching code