meeting action follow up builder

    1

    Converts meeting artifacts into accountable execution records with validated action items, decisions, and risk logs.

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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    meeting action follow up builder

    Example session with this skill installed

    Process these notes from the API Design Sync. Sarah agreed to update the Swagger docs by Friday. We discussed moving to GraphQL but decided to stick with REST for now due to the timeline.

    • Read your context and instructions
    • Compiled the meeting action follow

    I have processed the API Design Sync notes. I have extracted one commitment and one decision, while identifying a timeline risk.

    Meeting Execution Record

    Meeting Context

    • Title: API Design Sync
    • Participants: Sarah, [Unstated]
    • Source: Raw notes

    Executive Summary
    The team discussed the potential move to GraphQL but ultimately decided to maintain the current REST architecture to meet existing deadlines. Sarah is responsible for updating the Swagger documentation by the end of the week. A timeline risk was identified regarding architectural changes.

    Action Items

    IDDescriptionOwnerDue DateStatusSource
    A-001Update Swagger documentationSarahFridayOpen"Sarah agreed to update the Swagger docs by Friday"

    Decisions

    IDDescriptionRationaleDissentSource
    D-001Stick with REST architectureTimeline constraintsMoving to GraphQL was discussed"decided to stick with REST for now"

    Validation Report

    CheckCriterionStatusDetails
    TraceabilityEvery item has a sourcePASSAll items mapped to text.
    OwnershipExplicit named ownersPASSSarah assigned to A-001.
    TimingExplicit due datesPASSFriday deadline captured.
    DistinctionActions vs DiscussionPASSGraphQL discussion correctly identified as a proposal/decision.

    Follow-Up Message (Draft)
    Hi team, thanks for the sync. We are sticking with REST for now to hit our dates. Sarah will have the Swagger docs updated by Friday. Please confirm if there are any other blockers.

    Next steps

    1. Confirm the specific "Friday" date (e.g., Oct 27th) for A-001.
    2. Review the REST decision if the project timeline is extended.
    3. Identify other participants present but not named in the notes.

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    About this skill

    The problem

    Meeting notes and transcripts usually sit in documents where action items lose their owners, deadlines are guessed, and critical decisions lack rationale. Developers and PMs waste time manually parsing messy text into trackers only to realize half the commitments are missing clear accountability.

    What it does

    • Extracts decisions, commitments, owners, and deadlines from raw transcripts or notes.
    • Normalizes every action item with unique IDs, explicit owners, and observable acceptance criteria.
    • Maps dependencies and risks to ensure blockers are identified before they stop progress.
    • Generates a comprehensive validation report to flag missing owners or unstated deadlines.
    • Produces ready-to-use follow-up artifacts including action tables, risk registers, and next-meeting pre-reads.

    Why this beats prompting it yourself

    Standard LLM prompts often hallucinate deadlines or assign tasks to "the team" when owners aren't specified. This skill enforces a strict verification protocol that distinguishes actual decisions from mere suggestions and requires every output to be traceable back to specific source text.

    Use cases

    • Convert a messy Zoom transcript into a structured Jira-ready action item table.
    • Audit a recorded project kickoff to ensure every risk and dependency was captured.
    • Create a "next-meeting context" document that carries forward unresolved questions and blocked items.
    • Generate a formal decisions log with rationale and dissent for compliance and traceability.

    Known limitations

    Does not perform live facilitation or transcription. Requires existing text-based artifacts like notes, chat logs, or transcripts to function.

    Requires pre-existing text-based artifacts. Cannot perform live transcription or audio processing. Will not assign owners or dates if they were not explicitly mentioned in the source.

    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

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    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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    Listed1 month ago

    What's inside

    Frequently Asked Questions

    This skill is designed for any Large Language Model (LLM) or agent framework that accepts text input, including ChatGPT, Claude, and specialized project management agents. Simply paste your meeting transcript or notes into the agent to trigger the structured output process.

    Unlike generic prompts, this skill uses a strict verification protocol to eliminate 'hallucinated' deadlines and vague assignments. It requires every action item to be traceable to the source text and flags missing owners or deadlines for manual validation.

    You will receive the proprietary execution logic, the specific validation protocols, and a set of templates for generating action tables, risk registers, and follow-up artifacts. This includes clear instructions on how to apply the skill to your preferred AI workflow.

    No complex installation is required; the skill is delivered as a structured configuration that can be immediately integrated into your existing AI prompts or automation workflows. It works instantly with text-based artifacts like Zoom transcripts, Slack threads, or Notion notes.

    This skill is built to handle everything from brief syncs to hour-long project kickoffs. While there is no hard limit on meeting length, extremely large transcripts may need to be processed in segments depending on the token window of the specific AI model you are using.

    Buyers receive lifetime access to the version purchased, including any documentation updates. If major logic improvements or new output formats are released, you will be notified via the marketplace to download the latest version.

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