Understand video content locally using ffmpeg frame extraction and Whisper transcription. No API keys needed. Use when: (1) Understanding what a video contains, (2) Transcribing video audio locally, (3) Extracting key frames for visual analysis, (4) Getting video content without API keys.
Install
npx skills add https://github.com/calesthio/openmontage --skill video-understandSKILL.md
video-understand
Understand video content locally using ffmpeg for frame extraction and Whisper for transcription. Fully offline, no API keys required.
Prerequisites
ffmpeg+ffprobe(required):brew install ffmpegopenai-whisper(optional, for transcription):pip install openai-whisper
Commands
# Scene detection + transcribe (default)
python3 skills/video-understand/scripts/understand_video.py video.mp4
# Keyframe extraction
python3 skills/video-understand/scripts/understand_video.py video.mp4 -m keyframe
# Regular interval extraction
python3 skills/video-understand/scripts/understand_video.py video.mp4 -m interval
# Limit frames extracted
python3 skills/video-understand/scripts/understand_video.py video.mp4 --max-frames 10
# Use a larger Whisper model
python3 skills/video-understand/scripts/understand_video.py video.mp4 --whisper-model small
# Frames only, skip transcription
python3 skills/video-understand/scripts/understand_video.py video.mp4 --no-transcribe
# Quiet mode (JSON only, no progress)
python3 skills/video-understand/scripts/understand_video.py video.mp4 -q
# Output to file
python3 skills/video-understand/scripts/understand_video.py video.mp4 -o result.json
CLI Options
| Flag | Description |
|---|---|
video |
Input video file (positional, required) |
-m, --mode |
Extraction mode: scene (default), keyframe, interval |
--max-frames |
Maximum frames to keep (default: 20) |
--whisper-model |
Whisper model size: tiny, base, small, medium, large (default: base) |
--no-transcribe |
Skip audio transcription, extract frames only |
-o, --output |
Write result JSON to file instead of stdout |
-q, --quiet |
Suppress progress messages, output only JSON |
Extraction Modes
| Mode | How it works | Best for |
|---|---|---|
scene |
Detects scene changes via ffmpeg select='gt(scene,0.3)' |
Most videos, varied content |
keyframe |
Extracts I-frames (codec keyframes) | Encoded video with natural keyframe placement |
interval |
Evenly spaced frames based on duration and max-frames | Fixed sampling, predictable output |
If scene mode detects no scene changes, it automatically falls back to interval mode.
Output
The script outputs JSON to stdout (or file with -o). See references/output-format.md for the full schema.
{
"video": "video.mp4",
"duration": 18.076,
"resolution": {"width": 1224, "height": 1080},
"mode": "scene",
"frames": [
{"path": "/abs/path/frame_0001.jpg", "timestamp": 0.0, "timestamp_formatted": "00:00"}
],
"frame_count": 12,
"transcript": [
{"start": 0.0, "end": 2.5, "text": "Hello and welcome..."}
],
"text": "Full transcript...",
"note": "Use the Read tool to view frame images for visual understanding."
}
Use the Read tool on frame image paths to visually inspect extracted frames.
References
references/output-format.md-- Full JSON output schema documentation
Related skills
video-editgenmedia-labs715KEdit existing video on RunComfy — this skill is a smart router that matches the user's intent to the right edit model in the RunComfy catalog. Picks Wan 2.7 Edit-Video (general restyle / background swap / packaging swap, identity + motion preservation), Kling 2.6 Pro Motion Control (transfer precise motion from a reference video to a target character), or Lucy Edit Restyle (lightweight identity-stable restyle / outfit swap). Bundles each model's documented prompting patterns so the skill gets shai-video-generationgenmedia-labs714KGenerate AI videos on RunComfy via the `runcomfy` CLI — a smart router across the full video-model catalog: HappyHorse 1.0 (Arena #1, native in-pass audio), Wan-AI Wan 2-7 (open weights, audio-driven lip-sync), ByteDance Seedance v2 / 1-5 / 1-0 (multi-modal cinematic), Kling 3.0 / 2-6, Google Veo 3-1, MiniMax Hailuo 2-3, ByteDance Dreamina 3-0. Covers text-to-video (t2v), image-to-video (i2v), and Veo's video-extend endpoint. The skill picks the right model for the user's intent (Arena-#1 qualitai-musicgenmedia-labs714KGenerate AI music on RunComfy via the `runcomfy` CLI — a smart router across the music-model catalog. Routes to ElevenLabs AI Music Generation (premium 44.1 kHz stereo vocal tracks, 5 s–5 min, $0.0083/s) and ACE Step / ACE Step 1.5 (StepFun-AI open-weights, tag-driven composition, multilingual lyrics, $0.0002–0.0003/s, ~27× cheaper), plus ACE Step audio-inpaint (regenerate a time range inside an existing track) and ACE Step audio-outpaint (extend a track before or after). Picks the right model fimage-to-videogenmedia-labs713KAnimate any still image on RunComfy — this skill is a smart router that matches the user's intent to the right i2v model in the RunComfy catalog. Picks HappyHorse 1.0 I2V (Arena #1, native audio, identity preservation) for general animations, Wan 2.7 with `audio_url` for custom-voiceover lip-sync, or Seedance 2.0 Pro for multi-modal animation from image + reference video + reference audio. Bundles each model's documented prompting patterns so the caller gets sharper output without burning iterat