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SkillsMP a collecté 5 skills depuis avidrucker/talk-distill-skills. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 5 skills collectés sur 5.
Meta-orchestrator for distilling a YouTube talk into study material. Use when the user gives a YouTube URL and wants any of — SRT captions, a clean speaker-labelled transcript, an executive summary, or a timestamp-indexed key-takeaways doc. Routes to…
Langue du texte source : anglais
Read a talk transcript and produce an executive_summary.md (TL;DR + Salient Points + Outline). Use when the user wants a first-read overview of a talk — prose, structured, and skimmable. No script involved; pure prompt-engineering for Claude.
Langue du texte source : anglais
Read a talk transcript (ideally plus the SRT for accurate timestamps) and produce a key_takeaways.md — a flat list of timestamp-anchored emoji-prefixed bullets for jumping back into the video. Use when the user wants a navigation index, not a read-through…
Langue du texte source : anglais
Fetch the best subtitle track for a YouTube URL via yt-dlp. Use when the user gives a YouTube link and asks for "the captions" / "the SRT" / "subtitles" — or as the first step of the talk-distill pipeline. Probes available tracks, prefers human-authored over…
Langue du texte source : anglais
Convert an SRT (typically YouTube auto-captions) into a clean speaker-labelled paragraph transcript. Use when the user has `captions.SRT` and wants `transcript.txt`. Wraps `scripts/srt_to_transcript.py`, which handles rolling-caption dedup, `>>`…
Langue du texte source : anglais