verified personal travel itinerary planner

    by nowrich

    1

    Create realistic, transport-aware travel itineraries with verified facts, budget analysis, and night allocations.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Plan a 10-day trip to Italy for 2 adults in September. Budget is $5k, no rental car. We love history and food, but hate rushing. Start in Rome and end in Florence.

    Your agent does

    I have built a 10-day route focusing on Rome (4 nights) and Florence (5 nights) with a day trip to Siena.

    Recommended Route: Rome -> Florence (via Frecciarossa High-Speed Rail). Total Estimated Budget: $4,850 USD.

    Day 1: Rome Arrival. Check-in Trastevere. Evening walk. [Table follows...]

    What you get

    Build day-by-day itineraries with realistic transport and transfer buffers.Calculate itemized budget estimates for transport, lodging, and activities.Identify route-critical missing information before finalizing travel plans.Generate printable PDF itineraries and spreadsheet-ready budget tables.

    About this skill

    The problem

    Planning travel often results in generic, unrealistic itineraries that ignore logistical constraints like transport times and budget limits. Users frequently end up with "paper plans" that fall apart upon arrival due to seasonal closures or unverified transport links.

    What it does

    • Identifies missing route-critical data such as party mobility, transport limits, and budget envelopes before generating plans.
    • Constructs feasible day-by-day itineraries with dedicated columns for morning, afternoon, evening, and specific transport notes.
    • Performs budget analysis across flights, local transit, accommodation, and activities with low-to-high range estimates.
    • Verifies official sources for visa requirements, attraction opening hours, and public transport timetables when web access is available.
    • Generates structured downstream artifacts including CSV budgets, printable PDF layouts, and neighborhood guides.

    Why this beats prompting it yourself

    Standard LLM prompts often hallucinate travel times or suggest impossible day trips. This skill uses a two-path workflow to force validation of route-critical facts and explicitly labels unverified data as estimates, preventing logistical failures. It accounts for realistic buffers like jet lag, check-in windows, and transfer times that generic prompts ignore.

    Use cases

    • Designing a multi-city rail trip through Japan with specific night allocations and budget tracking.
    • Creating a family-friendly European itinerary that adjusts pace for children and highlights booking-required activities.
    • Building a car-free regional exploration plan centered around public transit availability and neighborhood walkability.

    Known limitations

    Requires specific inputs for budget and party composition to avoid generic results. Final bookings must be confirmed by the user as availability changes in real-time.

    How to install

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

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