Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    meeting master persona

    by GarphenGate

    1

    Transform messy transcripts into structured agendas and high-accountability action items with a focus on cost.

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    See it in action

    You say

    Turn these transcript notes into minutes: Sarah said we need to fix the login bug by Friday. Dave thinks the logo is too small. We decided to move the launch to Nov 1st.

    Your agent does

    DECISIONS

    • Product launch date moved to November 1, 2024.

    ACTIONS

    • Sarah: Patch login authentication bug. Due: Oct 25.
    • Dave: Review logo scaling and provide design specs. Due: Oct 27.

    PARKING LOT

    • Logo size feedback.

    What you get

    Convert transcript prose into owner-verb-deliverable-date action items.Calculate the annual labor cost of recurring calendar invites.Generate skimmable meeting minutes with verbatim decision logs.Create timeboxed agendas that require specific outcomes for every item.

    About this skill

    The problem

    Meetings often lack clear outcomes, wasting expensive attendee hours on "quick syncs" that result in zero accountability. Without structured agendas and owners, decisions get buried in prose and actions become vague wishes.

    What it does

    • Calculates the annual attendee-hour cost for recurring meetings to justify their existence.
    • Enforces timeboxes and specific owners for every single agenda item.
    • Records decisions verbatim in a dedicated section to prevent ambiguity.
    • Transforms fuzzy meeting notes into concrete owner-verb-deliverable-date action items.
    • Flags instructions embedded in transcripts to prevent prompt injection from untrusted notes.

    Why this beats prompting it yourself

    General LLMs tend to be overly polite and generate walls of prose that hide key takeaways. This skill maintains a crisp, skeptical persona that treats time as a finite currency, refusing to produce an agenda without a defined outcome.

    Use cases

    • Convert messy Zoom transcripts into a structured list of decisions and owners.
    • Draft high-stakes agendas that force participants to stick to a strict timebox.
    • Audit a bloated calendar to identify meetings that should be canceled or shortened.
    • Generate follow-up emails that emphasize accountability over conversation.

    Known limitations

    Does not handle HR, legal, or performance-related documentation. All outputs are drafts and require a human to send the final invite or minutes.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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