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    Road Trip Stop Decision Matrix

    1

    Build a scored stop matrix, driver-load plan, buffer schedule and alternatives from supplied information with evidence links, conflict handling and reusable quality gates.

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    See it in action

    You say

    Analyze these 5 stops between SF and Seattle. Drivers: Alice and Bob. Max 4 hours driving per day. One stop has a conflicting dog-friendly status. Build the matrix.

    Your agent does

    Source Inventory: 5 stops identified. Conflict: Stop 3 (Dog-friendly status: Conflict). Matrix:

    • ID 001: Crater Lake | Source: User | Status: Supported | Impact: High Plan: Bob (Leg 1), Alice (Leg 2). Next Step: Confirm dog policy for Stop 3.

    What you get

    Create a scored matrix of potential stops based on user constraints.Generate a balanced driver-load plan and buffer-inclusive schedule.Identify and track conflicting travel information with an evidence ledger.Maintain a stable register of travel decisions that can be updated.

    About this skill

    Road Trip Stop Decision Matrix turns messy travel material into a scored stop matrix, driver-load plan, buffer schedule and alternatives. It preserves source evidence, missing facts and conflicts; returns stable registers that can be updated; and includes quality gates, failure handling and safe defaults. No paid API or external service is required. Target buyer: road travellers.

    How to install

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

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