Video Processing
SkillFiles & storageProcess video files with ffmpeg automation. Use when: compressing videos for upload; extracting audio from video; resizing for social formats; clipping segments; merging multiple videos; generating thumbnails
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Video Processing skill
What this skill tells your AI
The instructions your AI receives, as published by guia-matthieu/clawfu-skills in skills/automation/video-processing/SKILL.md and read by ahel’s review.
Automate repetitive video editing tasks using FFmpeg - the industry-standard tool powering YouTube, Netflix, and most video platforms.
When to Use This Skill
- Social media optimization - Resize videos for Instagram (9:16), TikTok, LinkedIn
- Upload preparation - Compress large videos to meet platform limits
- Audio extraction - Pull audio from webinars, interviews for podcasts
- Content clipping - Extract highlights, quotes, or segments
- 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 |
| 1:1/16:9 | 1920x1080 | 5GB | 10min | |
| Twitter/X | 16:9 | 1920x1080 | 512MB | 2:20 |
Performance Tips
- GPU acceleration - FFmpeg uses hardware encoding when available (NVENC, VideoToolbox)
- CRF values - Lower = better quality, larger file. 18-28 typical range
- Preset selection -
ultrafastfor drafts,slowfor final exports - Two-pass encoding - Better quality for target bitrate
Skill Boundaries
What This Skill Does Well
- Structuring audio production workflows
- Providing technical guidance
- Creating quality checklists
- Suggesting creative approaches
What This Skill Cannot Do
- Replace audio engineering expertise
- Make subjective creative decisions
- Access or edit audio files directly
- Guarantee commercial success
Related Skills
- whisper-transcription - Transcribe video audio
- youtube-downloader - Download videos to process
- 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
Signals
- GitHub stars
- 149
- Forks
- 27
- Last commit
- Apr 2026
Advanced
- Catalog kind
- skill
- Gateway key
video-processing- Source
- github.com/guia-matthieu/clawfu-skills