agentsclimarketplace

Video transcript

Skill notque/vexjoy-agent/skills/research/video-transcript

VexJoy AI Agent with Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop.

Install
npx -y skills add notque/vexjoy-agent --skill video-transcript

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Extract video transcripts: yt-dlp subtitles to clean paragraphs.

SKILL.md

2.3 KB, as published. Nobody here has run it

Video Transcript

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>'.

Error handling

Both paths write no .vtt file

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.

HTTP 429 / "Sign in to confirm"

Cause: platform rate-limiting the host. Solution: wait and retry with --sleep-requests 2; keep request volume low.

Cleaner output repeats lines

Cause: VTT came from a third path (e.g. translated captions) with cue formats the dedupe misses. Solution: rerun the cleaner; if repeats remain, file the sample VTT alongside a fix to vtt_to_paragraph.py.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.