---name: claude-real-videodescription: Watch a video for the user. Use when the user shares a video URL (YouTube etc.) or local video file and wants it summarized, analyzed, or discussed — Claude can't ingest video directly, so this skill extracts scene-aware keyframes + transcript first, then reads those.---

claude-real-video — let Claude actually watch a video

When to use

The user gives you a video (URL or file path) and asks what's in it, to summarize it, to analyze its structure, or to answer questions about it.

Requirements

• pip install claude-real-video (installs the crv CLI; needs Python 3.10+ and ffmpeg)
• First transcription downloads a faster-whisper model automatically

Steps

1. Run the extractor (add --grid to cut image count ~9x — recommended):

   crv "<url-or-path>" -o crv-out --grid --why "<what the user wants to know>"
   

   For long videos cap the frames: --max-frames 60.

2. Read crv-out/MANIFEST.txt first — it lists every frame with timestamps and includes the transcript.

3. Read the contact sheets in crv-out/grids/ (each is a 3×3 sequence of consecutive keyframes, in chronological order). Only read individual crv-out/frames/*.jpg when you need a close-up of one moment.

4. Answer the user's question, citing timestamps from the manifest.

Notes

• Everything runs locally; nothing is uploaded by the tool itself.
• If the video has no speech or transcription is unnecessary, add --no-transcribe (much faster).
• --kb <dir> saves a digest into a knowledge-base folder if the user wants to keep notes.