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vstlmkhvstlmkh/summarizing-meetings/SKILL.md

summarizing-meetings

Skill1 starsChanged 26 days agoNo licenceView on GitHub

Turn a raw meeting transcript (Granola, Zoom, Meet, any ASR text) into a clean readable record and a compact follow-up with action items. Runs three gated stages: the operator states the agenda, the transcript is repaired and rewritten into clean paragraphs with ASR gaps flagged rather than invented, then decisions, action items and open questions are extracted into a short follow-up saved as Markdown. Every claim is grounded in a quote from the transcript. Use when the user has a call transcript, Granola note or recording text and wants a follow-up, meeting notes, summary, minutes, action items or "what did we decide on the call" — in any language the operator writes in. Not for live note-taking during a call and not for summarizing documents or chat threads.

1 other project uses a version of this.

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  • Other versions1 project uses a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 1

    1. MatrixFounder/Universal-skills★ 1same 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.

The file

We split this skill into the rules it gives an agent

8 rules. About 0 are common, 5 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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