ad-spend-optimizer
Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad…
Process 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
$ npx -y skills add guia-matthieu/clawfu-skills --skill video-processing --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/video-processingContext preview
The summary Claude sees to decide when to auto-load this skill.
Process 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
name: video-processing description: "Process 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" license: MIT metadata: author: ClawFu version: 1.0.0 mcp-server: "@clawfu/mcp-skills"
> Automate repetitive video editing tasks using FFmpeg - the industry-standard tool powering YouTube, Netflix, and most video platforms.
| 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 |
pip install ffmpeg-python moviepy click # Also requires ffmpeg installed on system # macOS: brew install ffmpeg # Ubuntu: sudo apt install ffmpeg
python scripts/main.py compress video.mp4 --target-mb 10 python scripts/main.py compress video.mp4 --crf 28 --output compressed.mp4
python scripts/main.py extract-audio video.mp4 --format mp3 python scripts/main.py extract-audio video.mp4 --format wav --output audio.wav
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
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
python scripts/main.py concat video1.mp4 video2.mp4 --output merged.mp4 python scripts/main.py concat ./clips/ --output compilation.mp4
python scripts/main.py thumbnail video.mp4 --time 00:30 python scripts/main.py thumbnail video.mp4 --best # Auto-select best frame
# 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)
# Extract audio track python scripts/main.py extract-audio webinar-recording.mp4 --format mp3 --bitrate 192k # Output: webinar-recording.mp3 (ready for podcast hosting)
# 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
| 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 |
1. **GPU acceleration** - FFmpeg uses hardware encoding when available (NVENC, VideoToolbox) 2. **CRF values** - Lower = better quality, larger file. 18-28 typical range 3. **Preset selection** - `ultrafast` for drafts, `slow` for final exports 4. **Two-pass encoding** - Better quality for target bitrate
category: automation subcategory: video-processing dependencies: [ffmpeg-python, moviepy] difficulty: beginner time_saved: 5+ hours/week
175 expert marketing methodologies for AI agents. Free. Open source. MIT licensed. Dunford on positioning. Schwartz on copywriting. Cialdini on persuasion. Ogilvy on advertising. Hormozi on offers. Voss on negotiation.
Repo: guia-matthieu/clawfu-skills
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