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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    Role Tailored Meeting Notes

    2

    Transform raw transcripts into role-specific action plans for Engineering, Sales, Product, and Leadership.

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    role-tailored-meeting-notes

    role-tailored-meeting-notes

    Example session with this skill installed

    Summarize this Zoom transcript for the Engineering Lead role: [pasted transcript of a sprint planning session mentioning API latency and a Friday deadline for the auth refactor]

    • Read your context and instructions
    • Compiled the role-tailored-meeting-notes

    Executive Summary

    The team committed to resolving the 500ms latency spike in the auth service before the Friday deployment. We decided to postpone the UI refresh to prioritize database indexing. Development shifts immediately to the refactor to meet the staging deadline.

    Engineering Focus

    • Technical Blockers: API latency spiking during token refresh.
    • System Risks: Auth refactor may impact legacy session management.

    Action Items

    OwnerActionDeadlineOutcome
    @AlexDatabase indexingThurs EODReduce latency
    @SamAuth refactorFridaySecurity compliance

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

    About this skill

    What it does

    Generic meeting summaries often fail because they provide a flat, one-size-fits-all list of bullet points. This skill transforms raw transcripts (from Otter, Fathom, Zoom, or manual notes) into high-impact, role-tailored action packs. By selecting a specific persona—such as Engineering Lead, Sales Rep, or Executive—the agent filters the conversation to highlight only what matters to that role.

    Why use this skill

    Standard AI summaries tend to be vague. This skill uses structured templates and rigorous extraction logic to ensure no deadline is missed and no blocker is buried. It is better than basic prompting because it follows a strict "Output Contract": a mandatory 3-sentence executive summary, specialized sections based on professional roles, and a structured action-item table that identifies owners and outcomes while flagging ambiguities.

    Features

    • Persona-Driven Filtering: Tailors content for Managers, Sales, Engineering, Product, Customer Success, or Founders.
    • Clean Extraction: Strips filler, normalizes speakers, and identifies risks and blockers.
    • Strict Accountability: Generates tables with Owner, Action, Deadline, and Outcome.
    • High Precision: Does not hallucinate dates or owners; explicitly flags "Owner unclear" for follow-up.

    • Requires manual transcript input.
    • Performs best with clear speaker labels.
    • Limited to specific predefined professional roles.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Security scan passed 4 months ago

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    Listed4 months ago

    What's inside

    Frequently Asked Questions

    Unlike generic tools that provide a single summary, this skill filters the transcript through specific professional lenses (Engineering, Sales, etc.) to ensure relevant priorities, blockers, and technical details aren't buried in fluff.

    The skill is compatible with popular AI agents that support text-based input and file uploads; it is optimized to process structured transcripts from platforms like Zoom, Otter.ai, and Fathom.

    You receive the specialized skill logic ready for deployment, pre-configured role templates (Sales, Engineering, etc.), and a quick-start guide to integrate it into your existing meeting workflow.

    This skill is designed for precision and includes a 'strictly-no-hallucination' policy; if a deadline or owner isn't explicitly stated in the transcript, the agent will flag it as 'unidentified' rather than guessing.

    Setup is near-instant: once you've added the skill to your agent, you simply paste your transcript and select the target persona—no complex coding or prompt engineering is required on your part.