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    Cross-Timezone Meeting Decision Log

    1

    Turn long meeting transcripts into concise decisions, action items, owner confidence, async handoffs, and ticket-ready work for remote teams.

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    Cross-Timezone Meeting Decision Log

    Cross-Timezone Meeting Decision Log

    Example session with this skill installed

    Process this meeting transcript

    meeting.vtt

    Create a cross-timezone decision log for teammates who did not attend.

    Requirements

    • remove greetings, filler, duplicate captions, and abandoned discussion branches;
    • extract only actual decisions, not every suggestion;
    • identify action items and deadlines;
    • capture explicit owners when assigned;
    • mark inferred owners as INFERRED and require confirmation;
    • do not invent exact dates from phrases such as "tomorrow" unless the meeting date is known;
    • separate unresolved questions from final decisions;
    • produce a concise async handoff;
    • create ticket-ready candidates but do not send or assign tickets externally;
    • generate decision_log.md, decisions.json, action_items.csv, async_handoff.md, and ticket_candidates.json.
    • Read your context and instructions
    • Compiled the cross-timezone meeting decision
    • Generated the data export

    Meeting decision log complete

    Transcript duration
    64 minutes

    Decisions found
    6

    Action items
    9

    Explicit owners
    7

    Owners requiring confirmation
    2

    Open questions
    3

    Decisions

    DEC-01 — Delay mobile checkout release

    Decision
    The team will postpone the mobile checkout release until the payment retry issue is resolved.

    Confidence
    HIGH

    DEC-02 — Keep current analytics provider

    Decision
    The team will keep the current analytics provider for this quarter.

    Confidence
    HIGH

    Action items

    ACT-01

    Task
    Update payment retry logic and open the patch for review.

    Owner
    Maria

    Owner status
    EXPLICIT

    Deadline
    before the demo

    Confidence
    HIGH

    ACT-02

    Task
    Validate the new mobile checkout build against staging.

    Suggested owner
    Luis

    Owner status
    INFERRED

    Needs confirmation
    YES

    Confidence
    MEDIUM

    Async handoff

    What changed

    • Mobile checkout release is postponed.
    • Payment retry behavior must be fixed before release.
    • Analytics migration is deferred.

    Async responses needed

    1. Confirm ownership of checkout validation.
    2. Confirm legal approval requirement.
    3. Confirm staging rollout window.

    Files generated

    • decision_log.md
    • decisions.json
    • action_items.csv
    • async_handoff.md
    • ticket_candidates.json

    No external tickets were created automatically.

    action_items.csv

    CSV · data export

    Generated

    Example file from a real run - the skill writes it into your workspace.

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

    About this skill

    The problem

    Long meeting transcripts capture everything except what remote teams actually need.

    Hours of conversation become pages of greetings, repeated explanations, abandoned ideas, and partial commitments—while the final decision, owner, and next step disappear inside the noise.

    What it does

    • Removes transcript noise and duplicate captions
    • Extracts explicit decisions
    • Separates suggestions from actual decisions
    • Detects action items and deadlines
    • Identifies explicit owners
    • Marks inferred or unassigned owners for confirmation
    • Separates unresolved questions from final decisions
    • Creates a concise cross-timezone handoff
    • Generates ticket-ready task candidates
    • Can prepare optional Jira, Linear, or GitHub Issue payloads
    • Never sends or assigns external tickets without explicit approval

    Why this beats prompting it yourself

    A normal prompt can summarize a transcript.

    This skill focuses on operational closure:

    Transcript → Decisions → Owners → Actions → Deadlines → Async Handoff → Ticket Candidates

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Productivity.

    Works from TXT/VTT transcripts. Unclear owners and relative deadlines need confirmation. Produces ticket candidates, not automatically posted tickets.

    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 buying a skill.

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    Fresh listing

    Recently published to Agensi

    Money-back guarantee

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    Trust & safety

    Security scan

    Security scan passed 1 month ago

    Software
    Python

    Permissions

    Terminal / Shell
    Network Access
    Listed1 month ago

    What's inside

    Frequently Asked Questions

    The skill is designed to work with major AI agent platforms that support long-form text or transcript processing; please check your specific platform's compatibility list for 'Text Transformation' skills.

    Unlike standard summarizers, this skill specifically distinguishes between abandoned ideas and final decisions, while flagging 'inferred owners' to ensure no task falls through the cracks during async handoffs.

    No, the skill generates 'ticket-ready candidates' for review, allowing you to approve or edit the data before it is sent to project management tools like Jira, Linear, or GitHub.

    Simply import the skill into your preferred AI agent environment and provide a meeting transcript as the input; no complex API configuration is required for the core analysis.

    You receive the full skill configuration, including the logic for decision extraction, action item detection, and the specialized formatting templates for async handoffs.

    This skill is optimized for English-language transcripts but can process any text-based meeting record, including those with multiple speakers and overlapping captions.

    New in Productivity