Video Watch

Convert local audio and video files into text transcripts using Whisper, then optionally generate meeting minutes, action items, speaker-separated output, and presentation-ready summaries. Supports Japanese meetings, Teams recordings, and other media formats entirely on your machine.

Context To Video transforms any text source—URLs, pasted content, PR diffs, or meeting notes—into a polished MP4 with synchronized narration, slides, and subtitles. The skill uses a free local stack (Pillow, edge-tts, ffmpeg) and optionally adds a talking-head avatar via SadTalker. Output lands in your project workspace as MP4 plus SRT subtitle file.

Watch lets you analyze any video—from YouTube, local files, or other sources—by automatically pulling frames and transcripts so Claude can answer your questions about the content. It handles caption extraction, falls back to Whisper when needed, and scales frame detail to match your needs.

watch lets you analyze any video by intelligently sampling frames at scene changes, measuring editorial pacing (cuts per minute, shot length), and applying dense analysis to the critical first 10 seconds. It pulls transcripts from captions or Whisper, generates a structured report, and optionally saves findings to your Obsidian vault.

Watch Skill processes any video—URLs, local files, streams, recordings—by extracting frames, running OCR, and transcribing audio into a unified searchable index. Query the index directly instead of re-watching, and batch-process playlists or folders in one pass.

Watch Skill processes videos locally by extracting scene-aware frames, running OCR on text within them, and transcribing audio via offline Whisper or captions. It builds a searchable index so follow-up questions are answered without re-processing the video. No API keys required for core features; vision and STT are optional and configurable.