Ffmpeg logo

Ffmpeg

OrganizationPopular
digitalsamba
ffmpeg

Video and audio processing with FFmpeg. Use for format conversion, resizing, compression, audio extraction, and preparing assets for Remotion. Triggers include converting GIF to MP4, resizing video, extracting audio, compressing files, or any media transformation task.

Overview

Publisherdigitalsamba
Repositoryclaude-code-video-toolkit
Skill nameffmpeg
Stars
2.2K
Forks
367
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 digitalsamba on GitHub. Read the source before you install it.

Installation

Install the Ffmpeg 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/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/ffmpeg
  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/digitalsamba/claude-code-video-toolkit.git /tmp/claude-code-video-toolkit
mkdir -p .claude/skills
cp -r /tmp/claude-code-video-toolkit/.claude/skills/ffmpeg .claude/skills/ffmpeg
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ffmpeg 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 Ffmpeg 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 Ffmpeg 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.

FFmpeg for Video Production

FFmpeg is the essential tool for video/audio processing. This skill covers common operations for Remotion video projects.

Quick Reference

GIF to MP4 (Remotion-compatible)

bash
ffmpeg -i input.gif -movflags faststart -pix_fmt yuv420p \
  -vf "scale=trunc(iw/2)*2:trunc(ih/2)*2" output.mp4

Why these flags:

  • -movflags faststart - Moves metadata to start for web streaming
  • -pix_fmt yuv420p - Ensures compatibility with most players
  • scale=trunc(...) - Forces even dimensions (required by most codecs)

Resize Video

bash
# To 1920x1080 (maintain aspect ratio, add black bars)
ffmpeg -i input.mp4 -vf "scale=1920:1080:force_original_aspect_ratio=decrease,pad=1920:1080:(ow-iw)/2:(oh-ih)/2" output.mp4

# To 1920x1080 (crop to fill)
ffmpeg -i input.mp4 -vf "scale=1920:1080:force_original_aspect_ratio=increase,crop=1920:1080" output.mp4

# Scale to width, auto height
ffmpeg -i input.mp4 -vf "scale=1280:-2" output.mp4

Compress Video

bash
# Good quality, smaller file (CRF 23 is default, lower = better quality)
ffmpeg -i input.mp4 -c:v libx264 -crf 23 -preset medium -c:a aac -b:a 128k output.mp4

# Aggressive compression for web preview
ffmpeg -i input.mp4 -c:v libx264 -crf 28 -preset fast -c:a aac -b:a 96k output.mp4

# Target file size (e.g., ~10MB for 60s video = ~1.3Mbps)
ffmpeg -i input.mp4 -c:v libx264 -b:v 1300k -c:a aac -b:a 128k output.mp4

Extract Audio

bash
# Extract to MP3
ffmpeg -i input.mp4 -vn -acodec libmp3lame -q:a 2 output.mp3

# Extract to AAC
ffmpeg -i input.mp4 -vn -acodec aac -b:a 192k output.m4a

# Extract to WAV (uncompressed)
ffmpeg -i input.mp4 -vn output.wav

Convert Audio Formats

bash
# M4A to MP3 (for ElevenLabs voice samples)
ffmpeg -i input.m4a -codec:a libmp3lame -qscale:a 2 output.mp3

# WAV to MP3
ffmpeg -i input.wav -codec:a libmp3lame -b:a 192k output.mp3

# Adjust volume
ffmpeg -i input.mp3 -filter:a "volume=1.5" output.mp3

Trim/Cut Video

bash
# Cut from timestamp to duration (recommended - reliable)
ffmpeg -i input.mp4 -ss 00:00:30 -t 00:00:15 -c:v libx264 -c:a aac output.mp4

# Cut from timestamp to timestamp
ffmpeg -i input.mp4 -ss 00:00:30 -to 00:00:45 -c:v libx264 -c:a aac output.mp4

# Stream copy (faster but may lose frames at cut points)
# Only use when source has frequent keyframes
ffmpeg -i input.mp4 -ss 00:00:30 -t 00:00:15 -c copy output.mp4

Note: Re-encoding is recommended for trimming. Stream copy (-c copy) can silently drop video if the seek point doesn't align with a keyframe.

Speed Up / Slow Down

bash
# 2x speed (video and audio)
ffmpeg -i input.mp4 -filter_complex "[0:v]setpts=0.5*PTS[v];[0:a]atempo=2.0[a]" -map "[v]" -map "[a]" output.mp4

# 0.5x speed (slow motion)
ffmpeg -i input.mp4 -filter_complex "[0:v]setpts=2.0*PTS[v];[0:a]atempo=0.5[a]" -map "[v]" -map "[a]" output.mp4

# Video only (no audio)
ffmpeg -i input.mp4 -filter:v "setpts=0.5*PTS" -an output.mp4

Concatenate Videos

bash
# Create file list
echo "file 'clip1.mp4'" > list.txt
echo "file 'clip2.mp4'" >> list.txt
echo "file 'clip3.mp4'" >> list.txt

# Concatenate (same codec/resolution)
ffmpeg -f concat -safe 0 -i list.txt -c copy output.mp4

# Concatenate with re-encoding (different sources)
ffmpeg -f concat -safe 0 -i list.txt -c:v libx264 -c:a aac output.mp4

Add Fade In/Out

bash
# Fade in first 1 second, fade out last 1 second (30fps video)
ffmpeg -i input.mp4 -vf "fade=t=in:st=0:d=1,fade=t=out:st=9:d=1" -c:a copy output.mp4

# Audio fade
ffmpeg -i input.mp4 -af "afade=t=in:st=0:d=1,afade=t=out:st=9:d=1" -c:v copy output.mp4

Get Video Info

bash
# Duration, resolution, codec info
ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 input.mp4

# Full info
ffprobe -v quiet -print_format json -show_format -show_streams input.mp4

Remotion-Specific Patterns

Video Speed Adjustment for Remotion

When to use FFmpeg vs Remotion playbackRate:

ScenarioUse FFmpegUse Remotion
Constant speed (1.5x, 2x)Either works✅ Simpler
Extreme speeds (>4x or <0.25x)✅ More reliableMay have issues
Variable speed (accelerate over time)✅ Pre-processComplex workaround needed
Need perfect audio sync✅ GuaranteedUsually fine
Demo needs to fit voiceover timing✅ Pre-calculateRuntime adjustment

Remotion limitation: playbackRate must be constant. Dynamic interpolation like playbackRate={interpolate(frame, [0, 100], [1, 5])} won't work correctly because Remotion evaluates frames independently.

bash
# Speed up demo to fit a scene (e.g., 60s demo into 20s = 3x speed)
ffmpeg -i demo-raw.mp4 \
  -filter_complex "[0:v]setpts=0.333*PTS[v];[0:a]atempo=3.0[a]" \
  -map "[v]" -map "[a]" \
  public/demos/demo-fast.mp4

# Slow motion for emphasis (0.5x speed)
ffmpeg -i action.mp4 \
  -filter_complex "[0:v]setpts=2.0*PTS[v];[0:a]atempo=0.5[a]" \
  -map "[v]" -map "[a]" \
  public/demos/action-slow.mp4

# Speed up without audio (common for screen recordings)
ffmpeg -i demo.mp4 -filter:v "setpts=0.5*PTS" -an public/demos/demo-2x.mp4

# Timelapse effect (10x speed, drop audio)
ffmpeg -i long-demo.mp4 -filter:v "setpts=0.1*PTS" -an public/demos/timelapse.mp4

Calculate speed factor:

  • To fit X seconds of video into Y seconds of scene: speed = X / Y
  • setpts multiplier = 1 / speed (e.g., 3x speed = setpts=0.333*PTS)
  • atempo value = speed (e.g., 3x speed = atempo=3.0)

Extreme speed (>2x audio): Chain atempo filters (each limited to 0.5-2.0 range):

bash
# 4x speed audio
-filter_complex "[0:a]atempo=2.0,atempo=2.0[a]"

# 8x speed audio
-filter_complex "[0:a]atempo=2.0,atempo=2.0,atempo=2.0[a]"

Prepare Demo Recording for Remotion

bash
# Standard 1080p, 30fps, Remotion-ready
ffmpeg -i raw-recording.mp4 \
  -vf "scale=1920:1080:force_original_aspect_ratio=decrease,pad=1920:1080:(ow-iw)/2:(oh-ih)/2,fps=30" \
  -c:v libx264 -crf 18 -preset slow \
  -c:a aac -b:a 192k \
  -movflags faststart \
  public/demos/demo.mp4

Screen Recording to Remotion Asset

bash
# From iPhone/iPad recording (usually 60fps, variable resolution)
ffmpeg -i iphone-recording.mov \
  -vf "scale=1920:-2,fps=30" \
  -c:v libx264 -crf 20 \
  -an \
  public/demos/mobile-demo.mp4

Batch Convert GIFs

bash
for f in assets/*.gif; do
  ffmpeg -i "$f" -movflags faststart -pix_fmt yuv420p \
    -vf "scale=trunc(iw/2)*2:trunc(ih/2)*2" \
    "public/demos/$(basename "$f" .gif).mp4"
done

Common Issues

"Height not divisible by 2"

Add scale filter: -vf "scale=trunc(iw/2)*2:trunc(ih/2)*2"

Video won't play in browser

Use: -movflags faststart -pix_fmt yuv420p -c:v libx264

Audio out of sync after speed change

Use filter_complex with atempo: -filter_complex "[0:v]setpts=0.5*PTS[v];[0:a]atempo=2.0[a]"

File too large

Increase CRF (23→28) or reduce resolution

Quality Guidelines

Use CaseCRFPresetNotes
Archive/Master18slowBest quality, large files
Production20-22mediumGood balance
Web/Preview23-25fastSmaller files
Draft/Quick28+veryfastFast encoding

Platform-Specific Output Optimization

After Remotion renders your video (typically to out/video.mp4), use FFmpeg to optimize for each distribution platform.

Workflow Integration

Remotion render (master)     FFmpeg optimization      Platform upload
       ↓                            ↓                       ↓
   out/video.mp4  ────────→  out/video-youtube.mp4  ───→  YouTube
                  ────────→  out/video-twitter.mp4  ───→  Twitter/X
                  ────────→  out/video-linkedin.mp4 ───→  LinkedIn
                  ────────→  out/video-web.mp4      ───→  Website embed

YouTube (Recommended Settings)

YouTube re-encodes everything, so upload high quality:

bash
# YouTube optimized (1080p)
ffmpeg -i out/video.mp4 \
  -c:v libx264 -preset slow -crf 18 \
  -profile:v high -level 4.0 \
  -bf 2 -g 30 \
  -c:a aac -b:a 192k -ar 48000 \
  -movflags +faststart \
  out/video-youtube.mp4

# YouTube Shorts (vertical 1080x1920)
ffmpeg -i out/video.mp4 \
  -vf "scale=1080:1920:force_original_aspect_ratio=decrease,pad=1080:1920:(ow-iw)/2:(oh-ih)/2" \
  -c:v libx264 -crf 18 -c:a aac -b:a 192k \
  out/video-shorts.mp4

Twitter/X

Twitter has strict limits: max 140s, 512MB, 1920x1200:

bash
# Twitter optimized (under 15MB target for fast upload)
ffmpeg -i out/video.mp4 \
  -c:v libx264 -preset medium -crf 24 \
  -profile:v main -level 3.1 \
  -vf "scale='min(1280,iw)':'min(720,ih)':force_original_aspect_ratio=decrease" \
  -c:a aac -b:a 128k -ar 44100 \
  -movflags +faststart \
  -fs 15M \
  out/video-twitter.mp4

# Check file size and duration
ffprobe -v error -show_entries format=duration,size -of csv=p=0 out/video-twitter.mp4

LinkedIn

LinkedIn prefers MP4 with AAC audio, max 10 minutes:

bash
# LinkedIn optimized
ffmpeg -i out/video.mp4 \
  -c:v libx264 -preset medium -crf 22 \
  -profile:v main \
  -vf "scale='min(1920,iw)':'min(1080,ih)':force_original_aspect_ratio=decrease" \
  -c:a aac -b:a 192k -ar 48000 \
  -movflags +faststart \
  out/video-linkedin.mp4

Website/Embed (Optimized for Fast Loading)

bash
# Web-optimized MP4 (small file, progressive loading)
ffmpeg -i out/video.mp4 \
  -c:v libx264 -preset medium -crf 26 \
  -profile:v baseline -level 3.0 \
  -vf "scale=1280:720" \
  -c:a aac -b:a 128k \
  -movflags +faststart \
  out/video-web.mp4

# WebM alternative (better compression, wider browser support)
ffmpeg -i out/video.mp4 \
  -c:v libvpx-vp9 -crf 30 -b:v 0 \
  -vf "scale=1280:720" \
  -c:a libopus -b:a 128k \
  -deadline good \
  out/video-web.webm

GIF (for Previews/Thumbnails)

bash
# High-quality GIF (first 5 seconds)
ffmpeg -i out/video.mp4 -t 5 \
  -vf "fps=15,scale=480:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" \
  out/preview.gif

# Smaller file GIF
ffmpeg -i out/video.mp4 -t 3 \
  -vf "fps=10,scale=320:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" \
  out/preview-small.gif

Platform Requirements Quick Reference

PlatformMax ResolutionMax SizeMax DurationAudio
YouTube8K256GB12 hoursAAC 48kHz
Twitter/X1920x1200512MB140sAAC 44.1kHz
LinkedIn4096x23045GB10 minAAC 48kHz
Instagram Feed1080x13504GB60sAAC 48kHz
Instagram Reels1080x19204GB90sAAC 48kHz
TikTok1080x1920287MB10 minAAC

Batch Export for All Platforms

bash
#!/bin/bash
# save as: export-all-platforms.sh
INPUT="out/video.mp4"

# YouTube (high quality)
ffmpeg -i "$INPUT" -c:v libx264 -preset slow -crf 18 \
  -c:a aac -b:a 192k -movflags +faststart \
  out/video-youtube.mp4

# Twitter (compressed)
ffmpeg -i "$INPUT" -c:v libx264 -crf 24 \
  -vf "scale='min(1280,iw)':'-2'" \
  -c:a aac -b:a 128k -movflags +faststart \
  out/video-twitter.mp4

# LinkedIn
ffmpeg -i "$INPUT" -c:v libx264 -crf 22 \
  -c:a aac -b:a 192k -movflags +faststart \
  out/video-linkedin.mp4

# Web embed (small)
ffmpeg -i "$INPUT" -c:v libx264 -crf 26 \
  -vf "scale=1280:720" \
  -c:a aac -b:a 128k -movflags +faststart \
  out/video-web.mp4

echo "Exported:"
ls -lh out/video-*.mp4

Error Handling

Common errors and fixes when processing video:

bash
# Check if FFmpeg succeeded
ffmpeg -i input.mp4 -c:v libx264 output.mp4 && echo "Success" || echo "Failed: check input file"

# Validate output file is playable
ffprobe -v error -select_streams v:0 -show_entries stream=codec_name -of csv=p=0 output.mp4

# Get detailed error info
ffmpeg -v error -i input.mp4 -f null - 2>&1 | head -20

Handling Common Failures

ErrorCauseFix
"No such file"Input path wrongCheck path, use quotes for spaces
"Invalid data"Corrupted inputRe-download or re-record source
"height not divisible by 2"Odd dimensionsAdd scale filter with trunc
"encoder not found"Missing codecInstall FFmpeg with full codecs
Output 0 bytesSilent failureCheck full ffmpeg output for errors

Feedback & Contributions

If this skill is missing information or could be improved:

  • Missing a command? Describe what you needed
  • Found an error? Let me know what's wrong
  • Want to contribute? I can help you:
    1. Update this skill with improvements
    2. Create a PR to github.com/digitalsamba/claude-code-video-toolkit

Just say "improve this skill" and I'll guide you through updating .claude/skills/ffmpeg/SKILL.md.

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 Ffmpeg AI skill do?

Video and audio processing with FFmpeg. Use for format conversion, resizing, compression, audio extraction, and preparing assets for Remotion. Triggers include converting GIF to MP4, resizing video, extracting audio, compressing files, or any media transformation task.

Why use Ffmpeg on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/ffmpeg. 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 Ffmpeg?

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 Ffmpeg?

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

Is the Ffmpeg AI skill free?

Yes. It is published on GitHub by digitalsamba 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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