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Analyze YouTube, tutorials, DD videos with yt-dlp + Whisper + ffmpeg.\n\nTags: latest:1.0.0\n\nVersion history:\n\nv1.0.0 | 2026-02-23T23:56:18.285Z | user\n\nInitial release: download, transcribe, screenshot videos for DD analysis\n\nArchive index:\n\nArchive v1.0.0: 7 files, 4764 bytes\n\nFiles: config.json (214b), package.json (440b), README.md (2112b), scripts/analyze.sh (2722b), scripts/summarize.sh (812b), SKILL.md (1273b), _meta.json (136b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: video-watcher\ndescription: Download videos, extract transcripts, capture frames. Analyze YouTube, tutorials, DD videos with yt-dlp + Whisper + ffmpeg.\nmetadata: {\"clawdbot\":{\"requires\":{\"bins\":[\"yt-dlp\",\"ffmpeg\",\"whisper\"]}}}\n---\n\n# Video Watcher\n\nDownload, transcribe, and screenshot videos for analysis.\n\n## Requirements\n\n```bash\nbrew install yt-dlp ffmpeg openai-whisper\n```\n\n## Quick Start\n\n```bash\n./scripts/analyze.sh \"https://youtube.com/watch?v=...\"\n```\n\n## Output\n\n```\noutputs/\n├── video.mp4           # Downloaded video\n├── audio.mp3           # Extracted audio\n├── transcript.txt      # Plain text\n├── transcript.srt      # Subtitles\n└── frames/             # Screenshots every 30s\n```\n\n## Commands\n\n### Analyze video\n```bash\n./scripts/analyze.sh \"URL\" [output-dir] [frame-interval] [whisper-model]\n```\n\n### Summarize transcript\n```bash\n./scripts/summarize.sh ./outputs/transcript.txt\n```\n\nOr with AI:\n```bash\ncat outputs/transcript.txt | clawdbot ask \"Summarize this\"\n```\n\n## Config\n\n`config.json`:\n```json\n{\n  \"whisper_model\": \"medium\",\n  \"frame_interval\": 30,\n  \"output_dir\": \"./outputs\"\n}\n```\n\n## Use Cases\n\n- DD (Due Diligence) videos\n- Lecture notes\n- Podcast summaries\n- Tutorial documentation\n- Meeting recordings\n\nFile v1.0.0:README.md\n\n# 🎬 Video Watcher\n\nDownload videos, extract transcripts, capture frames. Perfect for analyzing DD videos, tutorials, podcasts.\n\n## Features\n\n- **Download** - YouTube, Vimeo, most video sites (via yt-dlp)\n- **Transcribe** - Local speech-to-text (via Whisper)\n- **Frames** - Screenshot every N seconds (via ffmpeg)\n- **Summarize** - AI-ready transcript for quick summaries\n\n## Requirements\n\n```bash\nbrew install yt-dlp ffmpeg openai-whisper\n```\n\n## Quick Start\n\n```bash\n./scripts/analyze.sh \"https://youtube.com/watch?v=...\"\n```\n\n## Output\n\n```\noutputs/\n├── video.mp4           # Downloaded video\n├── audio.mp3           # Extracted audio\n├── transcript.txt      # Plain text transcript\n├── transcript.srt      # Subtitle format\n└── frames/             # Screenshots\n    ├── 00_00_00.jpg    # At 0:00\n    ├── 00_00_30.jpg    # At 0:30\n    └── ...\n```\n\n## Configuration\n\n`config.json`:\n```json\n{\n  \"whisper_model\": \"medium\",\n  \"frame_interval\": 30,\n  \"output_dir\": \"./outputs\",\n  \"languages\": [\"en\", \"tr\"]\n}\n```\n\n### Whisper Models\n- `tiny` - Fastest, least accurate\n- `base` - Fast\n- `small` - Balanced\n- `medium` - Good accuracy (recommended)\n- `large` - Best accuracy, slow\n\n## Usage Examples\n\n### Analyze a YouTube video\n```bash\n./scripts/analyze.sh \"https://youtube.com/watch?v=xyz\"\n```\n\n### Custom output directory\n```bash\n./scripts/analyze.sh \"URL\" ./my-output\n```\n\n### Different frame interval (every 60 seconds)\n```bash\n./scripts/analyze.sh \"URL\" ./output 60\n```\n\n### Use larger Whisper model\n```bash\n./scripts/analyze.sh \"URL\" ./output 30 large\n```\n\n## Summarize Transcript\n\nAfter analysis:\n```bash\n./scripts/summarize.sh ./outputs/transcript.txt\n```\n\nOr pipe to your AI:\n```bash\ncat outputs/transcript.txt | clawdbot ask \"Summarize this video\"\n```\n\n## Use Cases\n\n- DD (Due Diligence) video analysis\n- Lecture notes extraction\n- Podcast summaries\n- Tutorial documentation\n- Meeting recordings\n\n## Notes\n\n- First Whisper run downloads the model (~1.5GB for medium)\n- Long videos = long transcription time\n- Frame extraction is fast, transcription is slow\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7ceb1y530x51472dca60vr1s80sn9r\",\n  \"slug\": \"dd-video-analyzer\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1771890978285\n}\n\nFile v1.0.0:config.json\n\n{\n  \"whisper_model\": \"medium\",\n  \"frame_interval\": 30,\n  \"output_dir\": \"./outputs\",\n  \"video_format\": \"mp4\",\n  \"audio_format\": \"mp3\",\n  \"max_duration\": 7200,\n  \"languages\": [\"tr\", \"en\"],\n  \"cleanup_after\": false\n}\n\nFile v1.0.0:package.json\n\n{\n  \"name\": \"video-watcher\",\n  \"version\": \"1.0.0\",\n  \"description\": \"Download videos, extract transcripts, capture frames. 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Analyze YouTube, tutorials, DD videos with yt-dlp + Whisper + ffmpeg.\nmetadata: {\"clawdbot\":{\"requires\":{\"bins\":[\"yt-dlp\",\"ffmpeg\",\"whisper\"]}}}\n---\n\n# Video Watcher\n\nDownload, transcribe, and screenshot videos for analysis.\n\n## Requirements\n\n```bash\nbrew install yt-dlp ffmpeg openai-whisper\n```\n\n## Quick Start\n\n```bash\n./scripts/analyze.sh \"https://youtube.com/watch?v=...\"\n```\n\n## Output\n\n```\noutputs/\n├── video.mp4           # Downloaded video\n├── audio.mp3           # Extracted audio\n├── transcript.txt      # Plain text\n├── transcript.srt      # Subtitles\n└── frames/             # Screenshots every 30s\n```\n\n## Commands\n\n### Analyze video\n```bash\n./scripts/analyze.sh \"URL\" [output-dir] [frame-interval] [whisper-model]\n```\n\n### Summarize transcript\n```bash\n./scripts/summarize.sh ./outputs/transcript.txt\n```\n\nOr with AI:\n```bash\ncat outputs/transcript.txt | clawdbot ask \"Summarize this\"\n```\n\n## Config\n\n`config.json`:\n```json\n{\n  \"whisper_model\": \"medium\",\n  \"frame_interval\": 30,\n  \"output_dir\": \"./outputs\"\n}\n```\n\n## Use Cases\n\n- DD (Due Diligence) videos\n- Lecture notes\n- Podcast summaries\n- Tutorial documentation\n- Meeting recordings"},{"path":"README.md","content":"# 🎬 Video Watcher\n\nDownload videos, extract transcripts, capture frames. Perfect for analyzing DD videos, tutorials, podcasts.\n\n## Features\n\n- **Download** - YouTube, Vimeo, most video sites (via yt-dlp)\n- **Transcribe** - Local speech-to-text (via Whisper)\n- **Frames** - Screenshot every N seconds (via ffmpeg)\n- **Summarize** - AI-ready transcript for quick summaries\n\n## Requirements\n\n```bash\nbrew install yt-dlp ffmpeg openai-whisper\n```\n\n## Quick Start\n\n```bash\n./scripts/analyze.sh \"https://youtube.com/watch?v=...\"\n```\n\n## Output\n\n```\noutputs/\n├── video.mp4           # Downloaded video\n├── audio.mp3           # Extracted audio\n├── transcript.txt      # Plain text transcript\n├── transcript.srt      # Subtitle format\n└── frames/             # Screenshots\n    ├── 00_00_00.jpg    # At 0:00\n    ├── 00_00_30.jpg    # At 0:30\n    └── ...\n```\n\n## Configuration\n\n`config.json`:\n```json\n{\n  \"whisper_model\": \"medium\",\n  \"frame_interval\": 30,\n  \"output_dir\": \"./outputs\",\n  \"languages\": [\"en\", \"tr\"]\n}\n```\n\n### Whisper Models\n- `tiny` - Fastest, least accurate\n- `base` - Fast\n- `small` - Balanced\n- `medium` - Good accuracy (recommended)\n- `large` - Best accuracy, slow\n\n## Usage Examples\n\n### Analyze a YouTube video\n```bash\n./scripts/analyze.sh \"https://youtube.com/watch?v=xyz\"\n```\n\n### Custom output directory\n```bash\n./scripts/analyze.sh \"URL\" ./my-output\n```\n\n### Different frame interval (every 60 seconds)\n```bash\n./scripts/analyze.sh \"URL\" ./output 60\n```\n\n### Use larger Whisper model\n```bash\n./scripts/analyze.sh \"URL\" ./output 30 large\n```\n\n## Summarize Transcript\n\nAfter analysis:\n```bash\n./scripts/summarize.sh ./outputs/transcript.txt\n```\n\nOr pipe to your AI:\n```bash\ncat outputs/transcript.txt | clawdbot ask \"Summarize this video\"\n```\n\n## Use Cases\n\n- DD (Due Diligence) video analysis\n- Lecture notes extraction\n- Podcast summaries\n- Tutorial documentation\n- Meeting recordings\n\n## Notes\n\n- First Whisper run downloads the model (~1.5GB for medium)\n- Long videos = long transcription time\n- Frame extraction is fast, transcription is slow"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7ceb1y530x51472dca60vr1s80sn9r\",\n  \"slug\": \"dd-video-analyzer\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1771890978285\n}"},{"path":"config.json","content":"{\n  \"whisper_model\": \"medium\",\n  \"frame_interval\": 30,\n  \"output_dir\": \"./outputs\",\n  \"video_format\": \"mp4\",\n  \"audio_format\": \"mp3\",\n  \"max_duration\": 7200,\n  \"languages\": [\"tr\", \"en\"],\n  \"cleanup_after\": false\n}"},{"path":"package.json","content":"{\n  \"name\": \"video-watcher\",\n  \"version\": \"1.0.0\",\n  \"description\": \"Download videos, extract transcripts, capture frames. 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