remotion

name: remotion description: Best practices for Remotion - Video creation in React metadata: tags: remotion, video, react, animation, composition source: remotion-dev/remotion

This skill is adapted from the official Remotion Agent Skills. See SOURCE.md for attribution details.

When to use

Use this skill whenever you are dealing with Remotion code to obtain the domain-specific knowledge.

Prerequisites

Before starting a new Remotion project, run scripts/check-prereqs.sh (in this skill directory).

Interpreting results:

• "status":"ok" → proceed
• "status":"missing" or "status":"outdated" → help user install/upgrade

Installation guidance by status:

When to skip checks:

• User already has a working Remotion project (check for package.json with remotion dependency)
• User explicitly says they have prerequisites

Quick start commands

# New project
npx create-video@latest my-video

# Add to existing React project
npm install --save-exact remotion @remotion/cli

# Run studio (dev server)
npx remotion studio

# Render video
npx remotion render src/index.ts CompositionId out/video.mp4

Official docs

For deeper questions beyond this skill's references: https://remotion.dev/docs

How to use

Read individual reference files for detailed explanations and code examples:

• references/3d.md - 3D content in Remotion using Three.js and React Three Fiber
• references/animations.md - Fundamental animation skills for Remotion
• references/assets.md - Importing images, videos, audio, and fonts into Remotion
• references/audio.md - Using audio and sound in Remotion - importing, trimming, volume, speed, pitch
• references/calculate-metadata.md - Dynamically set composition duration, dimensions, and props
• references/can-decode.md - Check if a video can be decoded by the browser using Mediabunny
• references/charts.md - Chart and data visualization patterns for Remotion
• references/compositions.md - Defining compositions, stills, folders, default props and dynamic metadata
• references/display-captions.md - Displaying captions in Remotion with TikTok-style pages and word highlighting
• references/extract-frames.md - Extract frames from videos at specific timestamps using Mediabunny
• references/fonts.md - Loading Google Fonts and local fonts in Remotion
• references/get-audio-duration.md - Getting the duration of an audio file in seconds with Mediabunny
• references/get-video-dimensions.md - Getting the width and height of a video file with Mediabunny
• references/get-video-duration.md - Getting the duration of a video file in seconds with Mediabunny
• references/gifs.md - Displaying GIFs synchronized with Remotion's timeline
• references/images.md - Embedding images in Remotion using the Img component
• references/import-srt-captions.md - Importing .srt subtitle files into Remotion using @remotion/captions
• references/lottie.md - Embedding Lottie animations in Remotion
• references/maps.md - Add a map using Mapbox and animate it
• references/measuring-dom-nodes.md - Measuring DOM element dimensions in Remotion
• references/measuring-text.md - Measuring text dimensions, fitting text to containers, and checking overflow
• references/parameters.md - Make a video parametrizable by adding a Zod schema
• references/sequencing.md - Sequencing patterns for Remotion - delay, trim, limit duration of items
• references/tailwind.md - Using TailwindCSS in Remotion
• references/text-animations.md - Typography and text animation patterns for Remotion
• references/timing.md - Interpolation curves in Remotion - linear, easing, spring animations
• references/transcribe-captions.md - Transcribing audio to generate captions in Remotion
• references/transitions.md - Scene transition patterns for Remotion
• references/trimming.md - Trimming patterns for Remotion - cut the beginning or end of animations
• references/videos.md - Embedding videos in Remotion - trimming, volume, speed, looping, pitch

After Execution

After completing the skill output, log feedback to track quality over time.

Priority cascade:

1. If scripts/evaluate.sh exists in this skill directory, run it and use the JSON result
2. Otherwise, self-assess using the scale below

Self-assessment scale: 1=failed, 2=poor, 3=acceptable, 4=good, 5=excellent

To log feedback, append one JSON line to FEEDBACK.jsonl in this skill directory:

{"ts":"<UTC ISO 8601>","skill":"remotion","version":"<from CONFIG.yaml>","prompt":"<user's original request>","outcome":<1-5>,"note":"<brief note if not 4>","source":"llm","schema_version":1}

Then increment iteration_count under compaction in CONFIG.yaml.