Video Processing
Automate repetitive video editing tasks using FFmpeg - the industry-standard tool powering YouTube, Netflix, and most video platforms.
When to Use This Skill
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Social media optimization - Resize videos for Instagram (9:16), TikTok, LinkedIn
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Upload preparation - Compress large videos to meet platform limits
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Audio extraction - Pull audio from webinars, interviews for podcasts
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Content clipping - Extract highlights, quotes, or segments
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Batch processing - Apply same operations to multiple videos
What Claude Does vs What You Decide
Claude Does You Decide
Structures production workflow Final creative direction
Suggests technical approaches Equipment and tool choices
Creates templates and checklists Quality standards
Identifies best practices Brand/voice decisions
Generates script outlines Final script approval
Dependencies
pip install ffmpeg-python moviepy click
Also requires ffmpeg installed on system
macOS: brew install ffmpeg
Ubuntu: sudo apt install ffmpeg
Commands
Compress Video
python scripts/main.py compress video.mp4 --target-mb 10 python scripts/main.py compress video.mp4 --crf 28 --output compressed.mp4
Extract Audio
python scripts/main.py extract-audio video.mp4 --format mp3 python scripts/main.py extract-audio video.mp4 --format wav --output audio.wav
Resize for Social
python scripts/main.py resize video.mp4 --format instagram # 1080x1920 (9:16) python scripts/main.py resize video.mp4 --format youtube # 1920x1080 (16:9) python scripts/main.py resize video.mp4 --format square # 1080x1080 (1:1) python scripts/main.py resize video.mp4 --width 1280 --height 720
Clip Segment
python scripts/main.py clip video.mp4 --start 00:30 --end 01:45 python scripts/main.py clip video.mp4 --start 00:30 --duration 60
Merge Videos
python scripts/main.py concat video1.mp4 video2.mp4 --output merged.mp4 python scripts/main.py concat ./clips/ --output compilation.mp4
Generate Thumbnail
python scripts/main.py thumbnail video.mp4 --time 00:30 python scripts/main.py thumbnail video.mp4 --best # Auto-select best frame
Examples
Example 1: Prepare Video for Instagram Reels
Original: 4K horizontal video, 500MB
python scripts/main.py resize long-video.mp4 --format instagram python scripts/main.py compress long-video_instagram.mp4 --target-mb 50
Output: long-video_instagram_compressed.mp4 (1080x1920, <50MB)
Example 2: Extract Podcast from Webinar
Extract audio track
python scripts/main.py extract-audio webinar-recording.mp4 --format mp3 --bitrate 192k
Output: webinar-recording.mp3 (ready for podcast hosting)
Example 3: Create Highlight Reel
Extract multiple clips
python scripts/main.py clip interview.mp4 --start 05:30 --end 06:15 --output clip1.mp4 python scripts/main.py clip interview.mp4 --start 12:00 --end 12:45 --output clip2.mp4 python scripts/main.py clip interview.mp4 --start 28:30 --end 29:00 --output clip3.mp4
Merge into highlight reel
python scripts/main.py concat clip1.mp4 clip2.mp4 clip3.mp4 --output highlights.mp4
Social Media Format Reference
Platform Format Resolution Max Size Max Duration
Instagram Reels 9:16 1080x1920 4GB 90s
Instagram Feed 1:1 1080x1080 4GB 60s
TikTok 9:16 1080x1920 287MB 10min
YouTube Shorts 9:16 1080x1920
60s
YouTube 16:9 1920x1080 256GB 12h
LinkedIn 1:1/16:9 1920x1080 5GB 10min
Twitter/X 16:9 1920x1080 512MB 2:20
Performance Tips
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GPU acceleration - FFmpeg uses hardware encoding when available (NVENC, VideoToolbox)
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CRF values - Lower = better quality, larger file. 18-28 typical range
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Preset selection - ultrafast for drafts, slow for final exports
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Two-pass encoding - Better quality for target bitrate
Skill Boundaries
What This Skill Does Well
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Structuring audio production workflows
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Providing technical guidance
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Creating quality checklists
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Suggesting creative approaches
What This Skill Cannot Do
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Replace audio engineering expertise
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Make subjective creative decisions
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Access or edit audio files directly
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Guarantee commercial success
Related Skills
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whisper-transcription - Transcribe video audio
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youtube-downloader - Download videos to process
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image-batch - Process video thumbnails
Skill Metadata
- Mode: cyborg
category: automation subcategory: video-processing dependencies: [ffmpeg-python, moviepy] difficulty: beginner time_saved: 5+ hours/week