Extracting Structure Agent Skill

Extracting structure

Three extractors turn an already-watched video into something structured.

All of them answer straight from the persistent index — deterministic, no

extra model calls. The video must be watched first (see watching-videos).

Chapters

watch-skill extract chapters <video_id-or-source>

Titled chapters with start/end timestamps, built from scene changes plus

transcript topic shifts. Good for long tutorials, lectures, meetings —

give the user the chapter list with timestamps, not a prose summary.

Bug report from a screen recording

watch-skill extract bug-report <video_id-or-source>

Pinpoints where an error appears: timestamp, the exact frame, the

on-screen error text as OCR read it, and the steps that led up to it

(from the transcript/actions preceding the failure). Returns

found: false honestly when no error signal exists — report that as

"no error found in the recording", not as an error.

Paste the output into the user's issue tracker format when they ask for

a fileable report; the frame path is the attachment.

Hook analysis (creators)

watch-skill extract hook <video_id-or-source> [--seconds 15]

Scores the opening seconds on four measured axes — attention trigger in

the opening line, speech pacing, visual change rate, on-screen text —

each with an actionable critique, plus a 0–100 score and verdict. Give

the user the per-axis critiques; the number alone helps nobody.