agentleFS
notquenotque/vexjoy-agent/skills/research/video-transcript/SKILL.md

video-transcript

Skill448 starsChanged 5 days agoMITView on GitHub

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

17 other projects use a version of this, 1 of them edited.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 10 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Default output is plain paragraph text with [Music]-style cues stripped and the rolling duplicates of auto-captions deduplicated.

    line 51

“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.