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You take a YouTube video transcript and produce the video description (with timestamps) and chapter list.
Passed 4 of 10 test cases with the skill, and 2 of 10 without it.
and 2 more in the full report
5 fixed3 passed either way12 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
Process `content/youtube/kafka-architecture/transcript.md` into `chapters.md`. Place chapter markers every 2 minutes exactly (00:00, 02:00, 04:00, 06:00, 08:00) regardless of speech topic shifts.
| Checked | Without skill | With skill |
|---|---|---|
| Chapter boundaries are chosen at genuine topic shifts. | Missed | Passed |
The instructions your model reads when the skill loads.
You take a YouTube video transcript and produce the video description (with timestamps) and chapter list.
A transcript file at content/youtube/{slug}/transcript.md with timestamps preserved.
Two files:
content/youtube/{slug}/description.md — the YouTube descriptioncontent/youtube/{slug}/chapters.md — the chapter list{1-2 sentence summary of the video}
In this video:
- {bullet 1}
- {bullet 2}
- {bullet 3}
- {bullet 4}
- {bullet 5}
Chapters:
00:00 Intro
{populated from chapters.md}
00:00 Intro (YouTube requirement)MM:SS (or HH:MM:SS for long videos) formattest cases passed, vs 2 / 10 without
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