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NeverSight/learn-skills.dev

Use this skill when creating programmatic videos with Remotion, building React-based video compositions, implementing animations (text, element, scene transitions), rendering videos to MP4/WebM, or setting up standalone Remotion projects. Triggers on video creation, Remotion compositions, useCurrentFrame, interpolate, spring animations, and video rendering.

Qu'est-ce que learn-skills.dev ?

learn-skills.dev is a Claude Code agent skill that use this skill when creating programmatic videos with Remotion, building React-based video compositions, implementing animations (text, element, scene transitions), rendering videos to MP4/WebM, or setting up standalone Remotion projects. Triggers on video creation, Remotion compositions, useCurrentFrame, interpolate, spring animations, and video rendering.

Compatible avec✓Claude Code✓Codex CLI~Cursor✓Gemini CLI
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Documentation

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Remotion Video

Remotion is a framework for creating videos programmatically using React. Instead of timeline-based editors, you write compositions as React components where every frame is a function of the current frame number. This gives you the full power of TypeScript, npm packages, and component-based architecture for building videos - from animated explainers and social media clips to data-driven visualizations and personalized video at scale.

This skill covers project setup, composition structure, frame-based animations with interpolate and spring, scene sequencing, asset management, audio integration, parametrized videos with Zod schemas, and rendering to MP4/WebM via CLI or programmatic APIs.


When to use this skill

Trigger this skill when the user:

  • Wants to create a video programmatically using React/TypeScript
  • Asks about Remotion compositions, useCurrentFrame, or useVideoConfig
  • Needs to animate text, elements, or transitions between scenes
  • Wants to render a video to MP4, WebM, or GIF from code
  • Asks about spring animations, interpolate, or frame-based timing
  • Needs to set up a new Remotion project from scratch
  • Wants to add audio, images, or fonts to a Remotion video
  • Asks about parametrized/data-driven video generation
  • Needs to configure Remotion Studio for previewing compositions

Do NOT trigger this skill for:

  • General React questions unrelated to video creation - use React skills
  • Video editing with traditional timeline tools (Premiere, DaVinci, FFmpeg CLI)
  • CSS animations for web pages - use animation/motion-design skills
  • Video playback or streaming in web apps - use media player skills

Key principles

  1. Every frame is a pure function - A Remotion component receives the current frame via useCurrentFrame() and must render deterministically for that frame. No side effects, no randomness without seeds, no reliance on wall-clock time. The same frame number must always produce the same visual output.

  2. Compositions are the unit of video - Each <Composition> defines a video with explicit dimensions (width, height), frame rate (fps), and duration (durationInFrames). Think of compositions as "pages" in your project - one per video variant or scene that can be rendered independently.

  3. Interpolate for everything - The interpolate() function maps frame numbers to any numeric value (opacity, position, scale, color channels). Combined with extrapolateRight: 'clamp', it is the workhorse for all animations. Use spring() when you need physics-based easing.

  4. Sequence for time offsets - Use <Sequence from={frame}> to delay when children start appearing, and <Series> to play children one after another. Never use setTimeout or manual frame math for sequencing - the declarative primitives handle it correctly across preview and render.

  5. Assets are static, data is dynamic - Put images, fonts, and audio files in the public/ folder and reference them with staticFile(). For dynamic data (API responses, database records), use delayRender() / continueRender() to pause rendering until the data is loaded.


Core concepts

Composition structure

Every Remotion project has a root file that registers compositions:

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}
    />
  );
};

Frame-based timing

All timing in Remotion is expressed in frames, not seconds. To convert:

  • Seconds to frames: seconds * fps
  • Frames to seconds: frame / fps

At 30 fps, a 5-second video is 150 frames. Frame 0 is the first frame.

Animation model

Remotion provides two core animation primitives:

PrimitiveUse caseExample
interpolate()Linear/clamped mapping from frame to valueFade, slide, scale
spring()Physics-based animation with damping/massBouncy entrances, natural motion

Both return a number you apply to styles (opacity, transform, etc.).


Common tasks

1. Set up a new Remotion project

npx create-video@latest

This scaffolds a project with TypeScript, a sample composition, and Remotion Studio configured. The project structure will be:

my-video/
  src/
    Root.tsx          # Registers all compositions
    MyComp.tsx        # Your first composition component
  public/             # Static assets (images, fonts, audio)
  remotion.config.ts  # Remotion configuration
  package.json

Start the preview studio with:

npx remotion studio

2. Create a basic composition with useCurrentFrame

import { AbsoluteFill, useCurrentFrame, useVideoConfig, interpolate } from 'remotion';

export const FadeInText: React.FC = () => {
  const frame = useCurrentFrame();
  const { fps } = useVideoConfig();

  const opacity = interpolate(frame, [0, 30], [0, 1], {
    extrapolateRight: 'clamp',
  });

  const translateY = interpolate(frame, [0, 30], [20, 0], {
    extrapolateRight: 'clamp',
  });

  return (
    <AbsoluteFill
      style={{
        justifyContent: 'center',
        alignItems: 'center',
        backgroundColor: '#0f0f0f',
      }}
    >
      <h1
        style={{
          fontSize: 80,
          color: 'white',
          opacity,
          transform: `translateY(${translateY}px)`,
        }}
      >
        Hello Remotion
      </h1>
    </AbsoluteFill>
  );
};

3. Animate text word by word

Split text into words and stagger each word's appearance using <Sequence>:

import { AbsoluteFill, Sequence, useCurrentFrame, interpolate } from 'remotion';

const AnimatedWord: React.FC<{ children: string }> = ({ children }) => {
  const frame = useCurrentFrame();
  const opacity = interpolate(frame, [0, 15], [0, 1], {
    extrapolateRight: 'clamp',
  });
  const translateY = interpolate(frame, [0, 15], [10, 0], {
    extrapolateRight: 'clamp',
  });

  return (
    <span
      style={{
        display: 'inline-block',
        opacity,
        transform: `translateY(${translateY}px)`,
        marginRight: 12,
      }}
    >
      {children}
    </span>
  );
};

export const WordByWord: React.FC<{ text: string }> = ({ text }) => {
  const words = text.split(' ');

  return (
    <AbsoluteFill
      style={{
        justifyContent: 'center',
        alignItems: 'center',
        backgroundColor: '#1a1a2e',
        flexWrap: 'wrap',
        padding: 100,
      }}
    >
      {words.map((word, i) => (
        <Sequence key={i} from={i * 8}>
          <AnimatedWord>{word}</AnimatedWord>
        </Sequence>
      ))}
    </AbsoluteFill>
  );
};

4. Element animations with spring

Use spring() for physics-based animations that feel natural:

import { AbsoluteFill, useCurrentFrame, useVideoConfig, spring } from 'remotion';

export const SpringCard: React.FC = () => {
  const frame = useCurrentFrame();
  const { fps } = useVideoConfig();

  const scale = spring({
    frame,
    fps,
    config: { damping: 200, stiffness: 100, mass: 0.5 },
  });

  const slideUp = spring({
    frame: frame - 10,
    fps,
    config: { damping: 12, stiffness: 100 },
  });

  return (
    <AbsoluteFill style={{ justifyContent: 'center', alignItems: 'center', backgroundColor: '#0d1117' }}>
      <div
        style={{
          width: 400,
          height: 250,
          backgroundColor: '#161b22',
          borderRadius: 16,
          transform: `scale(${scale}) translateY(${(1 - slideUp) * 50}px)`,
        }}
      >
        <p style={{ color: 'white', fontSize: 32 }}>Spring Animation</p>
      </div>
    </AbsoluteFill>
  );
};

5. Scene transitions with Sequence and Series

Use <Sequence> for overlapping scenes and <Series> for sequential playback:

import { AbsoluteFill, Sequence, Series, useCurrentFrame, interpolate } from 'remotion';

const Scene: React.FC<{ color: string; title: string }> = ({ color, title }) => {
  const frame = useCurrentFrame();
  const opacity = interpolate(frame, [0, 20], [0, 1], {
    extrapolateRight: 'clamp',
  });

  return (
    <AbsoluteFill style={{ backgroundColor: color, justifyContent: 'center', alignItems: 'center' }}>
      <h1 style={{ color: 'white', fontSize: 72, opacity }}>{title}</h1>
    </AbsoluteFill>
  );
};

export const MultiScene: React.FC = () => {
  return (
    <AbsoluteFill>
      <Series>
        <Series.Sequence durationInFrames={60}>
          <Scene color="#e63946" title="Scene One" />
        </Series.Sequence>
        <Series.Sequence durationInFrames={60}>
          <Scene color="#457b9d" title="Scene Two" />
        </Series.Sequence>
        <Series.Sequence durationInFrames={60}>
          <Scene color="#2a9d8f" title="Scene Three" />
        </Series.Sequence>
      </Series>
    </AbsoluteFill>
  );
};

6. Asset handling (images, fonts, staticFile)

Reference static assets from the public/ folder using staticFile():

import { AbsoluteFill, Img, staticFile } from 'remotion';

export const AssetDemo: React.FC = () => {
  return (
    <AbsoluteFill style={{ justifyContent: 'center', alignItems: 'center' }}>
      <Img
        src={staticFile('logo.png')}
        style={{ width: 300, height: 300 }}
      />
    </AbsoluteFill>
  );
};

Load custom fonts with @remotion/google-fonts or CSS @font-face:

import { loadFont } from '@remotion/google-fonts/Inter';

const { fontFamily } = loadFont();

export const FontDemo: React.FC = () => {
  return (
    <AbsoluteFill style={{ justifyContent: 'center', alignItems: 'center' }}>
      <h1 style={{ fontFamily, fontSize: 64, color: 'white' }}>
        Custom Font
      </h1>
    </AbsoluteFill>
  );
};

7. Audio integration

Add audio with volume control and timing:

import { AbsoluteFill, Audio, Sequence, staticFile, interpolate } from 'remotion';

export const WithAudio: React.FC = () => {
  return (
    <AbsoluteFill style={{ backgroundColor: '#000' }}>
      <Audio
        src={staticFile('background-music.mp3')}
        volume={(f) =>
          interpolate(f, [0, 30, 120, 150], [0, 0.8, 0.8, 0], {
            extrapolateLeft: 'clamp',
            extrapolateRight: 'clamp',
          })
        }
      />
      <Sequence from={15}>
        <Audio src={staticFile('whoosh.mp3')} volume={0.5} />
      </Sequence>
    </AbsoluteFill>
  );
};

8. Rendering videos

Render to MP4 from the command line:

# Render default composition
npx remotion render src/index.ts MyVideo out/video.mp4

# Render at 4K resolution
npx remotion render src/index.ts MyVideo out/video.mp4 --width 3840 --height 2160

# Render to WebM
npx remotion render src/index.ts MyVideo out/video.webm --codec vp8

# Render a specific frame range
npx remotion render src/index.ts MyVideo out/video.mp4 --frames 0-90

# Render with custom props
npx remotion render src/index.ts MyVideo out/video.mp4 --props '{"title": "Hello"}'

For programmatic rendering, see references/rendering-guide.md.


Anti-patterns / common mistakes

MistakeWhy it is wrongWhat to do instead
Using Math.random() without a seedProduces different output per frame during renderUse a deterministic seed or random() from Remotion
Using setTimeout / setIntervalBreaks frame-based rendering - timers do not advance per frameUse useCurrentFrame() and frame math for all timing
Missing extrapolateRight: 'clamp'Values overshoot beyond the target range on later framesAlways add { extrapolateRight: 'clamp' } to interpolate()
Hardcoding fps in frame calculationsBreaks when composition fps changesUse useVideoConfig().fps to derive timing
Using <Video> for rendered outputSlower rendering performance due to seeking overheadUse <OffthreadVideo> for better render performance
Forgetting delayRender() for async dataRenders before data loads, showing empty/broken framesCall delayRender() immediately, continueRender() when ready
Inline styles with non-deterministic valuesFlickers or inconsistency between preview and renderDerive all style values from the frame number only
Giant single compositionHard to maintain and impossible to render scenes independentlySplit into multiple compositions or use Series for scenes

Gotchas

  1. extrapolateRight default is 'extend' - If you write interpolate(frame, [0, 30], [0, 1]) without clamping, the value will keep increasing beyond 1 after frame 30 (e.g., frame 60 gives opacity 2). Always pass { extrapolateRight: 'clamp' } unless you intentionally want extrapolation.

  2. spring() starts from frame 0 of its context - When using spring() inside a <Sequence from={60}>, the frame passed to spring resets to 0 at frame 60 of the parent. If you pass the parent's raw frame, the animation will already be complete. Use useCurrentFrame() inside the Sequence child, not a frame from the parent.

  3. staticFile() paths are relative to public/ - Calling staticFile('images/logo.png') looks for public/images/logo.png. Using absolute paths or paths outside public/ will fail silently in preview and error during render. Ensure all assets are in the public/ directory.

  4. delayRender has a 30-second timeout - If your async operation (API call, font load) takes longer than 30 seconds, the render will abort. Increase the timeout with delayRender('Loading data', { timeoutInMilliseconds: 60000 }) for slow operations.

  5. Composition dimensions must be even numbers - Video codecs (H.264, VP8) require even width and height. Remotion will throw an error if you use odd dimensions like 1921x1081. Always use even pixel values (1920x1080, 1280x720, etc.).


References

For detailed patterns on specific Remotion sub-domains, read the relevant file from the references/ folder:

  • references/animation-patterns.md - advanced animation techniques including staggered cascades, parallax effects, morph transitions, easing curves, and complex multi-property animations
  • references/rendering-guide.md - rendering configuration, codec options, Lambda/cloud rendering, programmatic rendering API, GIF output, and performance optimization
  • references/project-structure.md - project organization, parametrized videos with Zod schemas, reusable component patterns, shared styles, and multi- composition architecture

Only load a references file if the current task requires it - they are long and will consume context.


Companion check

On first activation of this skill in a conversation: check which companion skills are installed by running ls ~/.claude/skills/ ~/.agent/skills/ ~/.agents/skills/ .claude/skills/ .agent/skills/ .agents/skills/ 2>/dev/null. Compare the results against the recommended_skills field in this file's frontmatter. For any that are missing, mention them once and offer to install:

npx skills add AbsolutelySkilled/AbsolutelySkilled --skill <name>

Skip entirely if recommended_skills is empty or all companions are already installed.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

NeverSight/learn-skills.dev

Use when generating or modifying Remotion video code, creating demo videos, or working with the demo-video/ directory

NeverSight/learn-skills.dev

Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars, NPC dialogue. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human, ugc, ugc video, ugc ad, avatar ugc

NeverSight/learn-skills.dev

Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video

NeverSight/learn-skills.dev

Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse

NeverSight/learn-skills.dev

ElevenLabs automatic dubbing - translate and dub audio/video into 29 languages while preserving speaker voice via inference.sh CLI. Capabilities: auto speaker detection, voice-preserving translation, video dubbing, audio localization. Use for: content localization, video translation, multilingual content, international distribution. Triggers: dubbing, dub video, translate audio, video translation, audio translation, localize content, elevenlabs dubbing, eleven labs dub, multilingual dub, voice translation, auto dub, language dub, content localization

NeverSight/learn-skills.dev

Explainer video production guide: scripting, voiceover, visuals, and assembly. Covers script formulas, pacing rules, scene planning, and multi-tool pipelines. Use for: product demos, how-it-works videos, onboarding videos, social explainers. Triggers: explainer video, how to make explainer, product video, demo video, video production, video script, animated explainer, product demo video, tutorial video, onboarding video, walkthrough video, video pipeline

NeverSight/learn-skills.dev

Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image, still to video, add motion to image, image animation, photo to video, animate still, wan i2v, image2video, bring image to life, animate photo, motion from image

NeverSight/learn-skills.dev

Generate talking head avatar videos with Pruna P-Video-Avatar via inference.sh CLI. Turn a portrait image into a realistic speaking video with built-in TTS. 18x faster and 6x cheaper than competitors. Models: P-Video-Avatar, P-Image (for portrait generation). Capabilities: text-to-avatar, audio-driven avatars, 30 voices, 10 languages, 720p/1080p, built-in TTS, dynamic backgrounds, full-body control. Use for: AI presenters, product demos, explainer videos, virtual influencers, marketing, education, multilingual content, UGC, gaming avatars. Triggers: avatar video, talking head, ai avatar, p-video-avatar, pruna avatar, video avatar, ai presenter, digital human, virtual presenter, lipsync, talking avatar, ai spokesperson, heygen alternative, synthesia alternative, veed alternative, fabric alternative, omnihuman alternative

NeverSight/learn-skills.dev

Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video

NeverSight/learn-skills.dev

Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video

NeverSight/learn-skills.dev

Video ad creation with exact platform-specific specs for TikTok, Instagram, YouTube, Facebook, LinkedIn. Covers dimensions, duration limits, AIDA framework, and caption requirements. Use for: video ads, social media ads, paid media creative, video marketing, ad production. Triggers: video ad, social media ad, tiktok ad, instagram ad, youtube ad, facebook ad, linkedin ad, video creative, ad specs, paid media, video marketing, ad production, reels ad, stories ad, pre roll, bumper ad

NeverSight/learn-skills.dev

Best practices and techniques for writing effective AI video generation prompts. Covers: Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora prompting strategies. Learn: shot types, camera movements, lighting, pacing, style keywords, negative prompts. Use for: improving video quality, getting consistent results, professional video prompts. Triggers: video prompt, how to prompt video, veo prompts, video generation tips, better ai video, video prompt engineering, video prompt guide, video prompt template, ai video tips, video prompt best practices, video prompt examples, cinematography prompts

NeverSight/learn-skills.dev

YouTube thumbnail design with specific dimensions, contrast rules, and mobile preview optimization. Covers safe zones, text placement, face expression psychology, and A/B testing. Use for: YouTube thumbnails, video cover images, click-through optimization. Triggers: youtube thumbnail, thumbnail design, video thumbnail, click through rate, ctr optimization, youtube cover, video cover image, thumbnail maker, thumbnail tips, youtube design, video preview image

NeverSight/learn-skills.dev

Landing page conversion optimization with layout rules, hero section design, and CTA psychology. Covers above-the-fold formula, social proof placement, mobile design, and F-pattern reading. Use for: startup landing pages, product pages, SaaS marketing, conversion optimization. Triggers: landing page, hero section, above the fold, conversion optimization, landing page design, cta button, hero image, landing page layout, saas landing page, product page design, conversion rate, landing page best practices

NeverSight/learn-skills.dev

Configure and use the hosted YouTube Data MCP end-to-end with minimal user input. Use when users want the agent to verify Node.js and `npx`, configure MCP server config (Windows/macOS, Cursor/Codex/OpenClaw/OpenCode), request API key at setup time, run post-install capability discovery (`tools/list` and `get_patch_notes`), and then strongly recommend helper skill and Python setup for full local document and spreadsheet workflows.

NeverSight/learn-skills.dev

Creates 120fps GPU-accelerated animations with Motion.dev (Framer Motion successor) for React, Next.js, Svelte, and Astro projects. Use when user requests animation, motion, scroll effects, parallax, hero animations, gestures, drag interactions, spring physics, whileHover effects, whileInView animations, animated UI, micro-interactions, page transitions, or layout animations. Generates production TypeScript/JSX code with accessibility (prefers-reduced-motion) and performance validation (≥60fps). Supports entrance animations, gesture interactions (hover/tap/drag), scroll-based reveals, and layout transitions using spring physics and natural timing. Do NOT use for CSS-only transitions (use native CSS), static sites without JavaScript, Vue animations (use motion-v variant instead), or SVG/Canvas complex animations (GSAP better suited).

NeverSight/learn-skills.dev

Static artifact craft skill for self-contained HTML/CSS/JS documents: docs, sheets, dashboards, explainers, slides, tools, and landing pages. Use when the user asks for a durable, openable, shareable web deliverable they'll keep or hand off — a report, a dashboard, a slide deck, a data table, a page. Local folder first, temporary public link via tunnel (localhost.run), optional durable publish to Surge, GitHub Pages, or Cloudflare. Not for quick look renders, inline snippets, or throwaway scratch. Not for SPA frameworks, backend APIs, database apps, or production product UI.

NeverSight/learn-skills.dev

FFmpeg commands for video/audio conversion, trimming, compression, and processing. Use when user mentions "ffmpeg", "convert video", "compress video", "extract audio", "trim video", "gif from video", "video codec", "transcode", "screen recording", "merge videos", "video to mp4", "reduce file size", or any media processing task.

NeverSight/learn-skills.dev

Vim keybindings, motions, text objects, and operators for efficient text editing. Use when user asks about "vim commands", "vim motions", "text objects", "vim keybindings", "vim cheat sheet", "learn vim", "vim in VS Code", or any Vim editing tasks.

NeverSight/learn-skills.dev

Grok Build ONLY. Turn a 2D character still into smooth animation sprites via image_gen/image_edit base → image_to_video (6s/10s run-in-place) → ffmpeg frames → magenta chroma-key → dense sampled sprites (strip/grid/GIF). Use when the user wants video-to-sprite, motion capture from generated video, smoother run/walk cycles from dense frames, or runs /video2dsprite. Do NOT use on Codex/Claude — only Grok Build has image_to_video. Prefer generate2dsprite for crisp pixel sheets without video.

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