media-transcript
Skill396 starsChanged 6 months agoMITView on GitHub
Pull a video's transcript (captions/subtitles) as clean text — the doc-ingest sibling for video. Any task that references a YouTube (or other yt-dlp-supported) URL can consume the spoken content as text instead of being blind to it. Prints the transcript to stdout. --timestamps prefixes blocks with [mm:ss] cue starts (use when the question asks when/after what something was said). --json wraps the result as {"url", "ok", "kind", "text"|"error"} for programmatic callers. Not for: - Local audio/video files — use skills/audio-transcribe…
1 other project uses a version of this.
Adopted by
Most recently taken up by
- DevinChen2014/socialdatax-skillstheir own version, first seen Nov 6, 2026
Other versions1 project uses a version of this.
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- DevinChen2014/socialdatax-skills★ 6same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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- answer-formatSkill
- audio-transcribeSkill
- bee-actionsSkill
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The file
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media-transcript
Pull a video's transcript (captions/subtitles) as clean text — the doc-ingest sibling for video. Any task that references a YouTube (or other yt-dlp-supported) URL can consume the spoken content as text instead of being blind to it.
Usage:
python3 skills/media-transcript/scripts/transcript.py <url> [--lang en] [--timestamps] [--json]Prints the transcript to stdout. --timestamps prefixes blocks with [mm:ss] cue starts (use when the question asks when/after what something was said). --json wraps the result as {"url", "ok", "kind", "text"|"error"} for programmatic callers.
When to use
- A task references a video URL whose content matters ("what did they say about X", "what number is mentioned after Y", summarizing a talk).
- The agent-eval harness hits video-based benchmark tasks (4 of 10 GAIA L3 fails on 2026-07-30 were video-content questions this skill unblocks).
- Anything needing spoken-word content where captions exist.
Not for:
- Local audio/video files — use
skills/audio-transcribe(whisper on the audio track); the script points there and exits 3. - Videos with no captions at all — v1 is captions-only (uploader subs preferred, auto-captions fallback). The script says so honestly (exit 1) rather than guessing; a whisper-on-downloaded-audio fallback is a possible v2, deliberately out of scope (media downloads are heavyweight and often unnecessary).
Behavior
- Prefers uploader subtitles over auto-generated captions;
--langpreference (defaulten) with graceful fallback to available English variants. - Downloads ONLY the subtitle track — never the media stream — into a private temp dir, removed afterwards. No API keys.
- Auto-caption VTTs repeat rolling caption windows; the parser dedupes them, strips inline tags/entities, and drops cue numbers, producing readable prose.
yt-dlpis probed at runtime (PATH binary, else the importable module) — a host without it gets one actionable error naming the install, never a crash (same design language as doc-ingest's extractor probing).
Exit codes: 0 transcript printed · 1 failure (no captions / tool error) · 2 bad invocation · 3 handled-elsewhere pointer (local media file).
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