acestep
AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks,…
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
$ npx -y skills add calesthio/OpenMontage --skill video-understand --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/video-understandContext preview
The summary Claude sees to decide when to auto-load this skill.
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
name: video-understand description: | 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.
Understand video content locally using ffmpeg for frame extraction and Whisper for transcription. Fully offline, no API keys required.
# 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
| 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 |
| 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.
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.
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Repo: calesthio/OpenMontage
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