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    Consultation Call Summary Agent

    3

    The problem Refining raw consultation notes into professional deliverables often takes longer than the call itself.

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    See it in action

    You say

    Summarize these notes from my call with Acme Corp: they need a 3-month SEO audit, budget is around 5k, they hate their current agency. Next call Tuesday. Sarah owns the dev access.

    Your agent does

    Action Points

    | Action | Owner | Due Date | Status | | :--- | :--- | :--- | :--- | | Provide dev access | Sarah | To confirm | Pending | | Schedule next call | User | Tuesday | Pending |

    Key Goals

    • Complete 3-month SEO audit
    • Transition away from current agency relationship

    What you get

    Extract requirements and pain points from raw discovery call transcripts.Generate formatted action-item trackers with owners and placeholders for dates.Draft professional follow-up emails that recap decisions and next steps.Create internal handover notes to brief delivery teams on new client needs.

    About this skill

    The problem

    Refining raw consultation notes into professional deliverables often takes longer than the call itself. Manual transcription and formatting lead to missed requirements, forgotten action items, and delayed follow-up emails that stall deal momentum.

    What it does

    • Extracts structured requirements, pain points, and client goals from messy transcripts or shorthand.
    • Generates client-ready summaries, action-item trackers, and decision logs with assigned owners.
    • Drafts professional follow-up emails and suggests next-step meeting agendas based on call outcomes.
    • Outlines proposal sections including scope notes, assumptions, and potential risks.
    • Produces internal handover notes and CRM-ready summaries for team alignment.

    Why this beats prompting it yourself

    This skill enforces a rigor that basic prompting misses by separating confirmed facts from assumptions and auditing notes for contradictions. It prevents the common AI habit of inventing deadlines or pricing by flagging missing information as "To confirm" rather than hallucinating details.

    Use cases

    • Convert discovery call transcripts into structured proposal outlines and scope documents.
    • Turn coaching or strategy session notes into clear action-point tables for clients.
    • Generate internal handover notes for delivery teams after a sales-to-ops transition call.
    • Create professional follow-up emails immediately after a project scoping meeting.

    Known limitations

    Cannot provide regulated professional advice (legal, medical, financial). Requires raw notes or a transcript as input to function accurately.

    How to install

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

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