video-analyserlisted

# Video Analyser Skill Analyse a video file to extract bugs, errors, UI state, and reproduction steps. The pipeline uses `ffmpeg` for frame extraction, optional `tesseract` OCR for text, and optional `whisper` for audio narration. The default path (8 keyframes at 768 px) is the Pareto-optimal setting for screen recordings: best quality-per-token on the legibility curve. By default the selected frames are packed into a single tiled **contact sheet** and sent to the analysis prompt as one image. This is cheaper on vision tokens and gives a temporal overview at a glance. An opt-in **split** mode keeps the legacy behaviour of one full-resolution image block per frame — use it when small UI text must be read (see [Frame Delivery Mode](#frame-delivery-mode)). ## Prerequisites ### Required tools | Tool | Check | If missing | |---|---|---| | `ffmpeg` | `which ffmpeg` | Print: `ffmpeg is required. Install with: brew install ffmpeg` (macOS) or `apt install ffmpeg` (Linux). Then exit. | | `ffprobe` | `which ffprobe` | Print: `ffprobe is required. It ships with ffmpeg — reinstall ffmpeg`. Then exit. | ### Optional tools (silent degradation) | Tool | If present | If absent | |---|---|---| | `tesseract` | Enable OCR mode for text-heavy frames | Skip silently; use vision-only mode | | `whisper` | Enable audio transcription when user mentions narration or voiceover | Skip audio step silently | Run tool detection before any other step. ```bash which ffmpeg || { echo "ffmpeg is requi