Meeting Decision Log

    by TopAgent

    1

    Turn meeting chaos into a crisp decision log with owners, deadlines, and follow-up wiring.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    Extract the decisions and tasks from this transcript: 'Alice: We should use Postgres. Bob: Fine, let's do it. I'll set up the DB by Friday. What about the frontend? Alice: Let's wait for Dave.'

    Your agent does

    Meeting Log — Database & Frontend (2023-10-27)

    Decisions

    | # | Decision | Reason | Owner | | 1 | Use Postgres for the database | Consensus reached | Alice/Bob |

    Tasks

    | # | Task | Owner | Due | Status | | 1 | Set up the database | Bob | Friday | [TASK] |

    Parked

    | # | Topic | Blocker | | 1 | Frontend selection | Waiting for Dave |

    What you get

    Generate structured decision logs from raw call transcripts.Assign owners to tasks based on verbal commitments and context.Track parked topics and blockers for follow-up sessions.Create clear TL;DR summaries for sprint planning and handoffs.

    About this skill

    The problem

    Meeting transcripts are often a mess of rambling thoughts, circular discussions, and unassigned tasks. Critical decisions get buried in the noise, leading to missed deadlines and misaligned teams.

    What it does

    • Extracts explicit consensus points into a structured decision log with context.
    • Identifies action items and assigns owners based on verbal commitments and heuristics.
    • Tracks deferred topics and blocked discussions in a dedicated parked section.
    • Surfaces unresolved questions that require further clarification or triage.
    • Deduplicates redundant points and resolves contradictions based on the final speaker agreement.

    Why this beats prompting it yourself

    Generic prompts often miss the nuance of verbal commitments or fail to resolve contradictions when speakers change their minds. This skill uses a specific extraction heuristic to ensure ownership is accurately assigned and statuses are correctly categorized without manual cleanup.

    Use cases

    • Convert Zoom or Teams transcripts into actionable project logs.
    • Generate handoff-ready summaries for engineering sprints.
    • Audit stakeholder meetings to verify exactly what was agreed upon and why.
    • Provide clear action items for team members who missed the live call.

    How to install

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

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    TopAgent

    13 skills on Agensi

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