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Extract video transcripts: yt-dlp subtitles to clean paragraphs.
Passed 16 of 19 test cases with the skill, and 9 of 19 without it.
and 9 more in the full report
9 fixed10 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
We need to download human-uploaded German subtitles for https://www.youtube.com/watch?v=germanvid123 into VTT format. Which language argument should be passed?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies --sub-langs de in the command. | Missed | Passed |
The instructions your model reads when the skill loads.
Pull a video's transcript as readable paragraphs. Two paths, in order:
Path 1 — uploader subtitles (accurate, prefer when present):
yt-dlp --skip-download --write-subs --sub-langs en --sub-format vtt \
-o '<work-dir>/%(id)s' '<URL>'
Path 2 — auto-generated captions (fallback when path 1 writes no file):
yt-dlp --skip-download --write-auto-subs --sub-langs en --sub-format vtt \
-o '<work-dir>/%(id)s' '<URL>'
Then clean the VTT into paragraphs:
python3 skills/research/video-transcript/scripts/vtt_to_paragraph.py <work-dir>/<id>.en.vtt
Default output is plain paragraph text with [Music]-style cues stripped and the rolling duplicates of auto-captions deduplicated. Use --timestamps for [mm:ss] markers, --keep-brackets to keep cue tags, -o FILE to write to a file.
For other languages, change --sub-langs (e.g. de, en.*). List what a video offers with yt-dlp --list-subs '<URL>'.
Cause: video has no subtitles or captions in the requested language.
Solution: run yt-dlp --list-subs '<URL>' and pick an available language; if none exist, report that and offer audio transcription via the markdown-converter skill on a downloaded audio file.
Cause: platform rate-limiting the host.
Solution: wait and retry with --sleep-requests 2; keep request volume low.
Cause: VTT came from a third path (e.g. translated captions) with cue formats the dedupe misses.
test cases passed, vs 9 / 19 without
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