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    📋 Meeting Summary

    2

    This skill transforms messy meeting transcripts—whether pasted directly or as file paths (.vtt, .srt, .txt)—into high-fidelity, structured markdown documentation.

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    📋 Meeting Summary

    📋 Meeting Summary

    Example session with this skill installed

    Summarize the notes from our sync. Extract the action items into a table and list any decisions made. Use the file at ./meeting-transcripts/dev-sync.txt

    • Read your context and instructions
    • Compiled the meeting summary

    Action Items

    WhatWhoDue Date
    Send revised API docsSarahFriday
    Provision staging DBNot specifiedBefore the demo

    Decisions

    • Switched to PostgreSQL for the analytics service.
    • Approved the UI mockups for the dashboard.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Extract a clean action item table with owners and due dates from raw VTT filesIdentify hard decisions and committed outcomes from sales call recordingsCatalog open questions and blockers that require follow-up after a standupGenerate professional meeting minutes from speaker-labeled transcriptions

    About this skill

    What it does

    This skill transforms messy meeting transcripts—whether pasted directly or as file paths (.vtt, .srt, .txt)—into high-fidelity, structured markdown documentation. It goes beyond simple summarization by applying specific extraction logic to identify commitments, ownership, and project blocking questions.

    Why use this skill

    Prompting an AI yourself often leads to "hallucinated" action items or missed deadlines. This skill uses a specialized workflow to resolve speaker identities, extract relative due dates (e.g., "before the demo"), and differentiate between "suggestions" and factual "decisions." It saves developers and PMs from manual cleanup by formatting everything into specific, professional markdown sections including a structured task table.

    Supported tools

    • Direct text input from pasted transcripts.
    • Local file parsing for .txt, .md, .vtt, and .srt formats.
    • Compatible with Claude Code, Codex, and other terminal-based AI agents.

    Output format

    The output is a clean, standardized Markdown report featuring a "Decisions" list, a detailed "Action Items" table with assigned owners and dates, "Open Questions" for blockers, "Key Topics" for context, and "Next Meeting" logistics.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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      Download the ZIP

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      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

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