personalized travel planner

    1

    Create constraint-aware, geographically optimized travel itineraries with realistic logistics and budget tiering.

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    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    personalized travel planner

    Example session with this skill installed

    Plan a 10-day trip to Japan for 2 adults in October. Budget $5k total. Start/end in Tokyo. Focus on food and history. We prefer trains over driving. Balanced pace.

    • Read your context and instructions
    • Compiled the personalized travel planner

    I have designed a 10-day "Golden Route" itinerary focused on culinary depth and historical landmarks, optimized for the Japan Rail Pass flow.

    10-Day Japan Heritage & Culinary Route

    CityNightsEffort LevelPrimary Focus
    Tokyo (Shinjuku/Shibuya)3ModerateModern History & Street Food
    Kyoto (Gion/Higashiyama)4ModerateTemples, Kaiseki & Crafts
    Osaka (Dotonbori)2EasyFood Markets & Castle History
    Tokyo (Near Haneda/Narita)1EasyFinal Souvenirs & Departure

    Key Assumptions

    • Travelers arrive at NRT/HND by 3:00 PM on Day 1.
    • Transport is via JR Sanyo/Tokaido Shinkansen.
    • Budget excludes international long-haul flights.

    Transfer Logistics

    DayFrom -> ToModeEst. Door-to-DoorStatus
    4Tokyo -> KyotoShinkansen3h 15mVerified
    8Kyoto -> OsakaRapid Train1h 10mVerified
    10Osaka -> NRTShinkansen/N'EX4h 45mEstimate

    Budget Estimate (USD)

    CategoryEstimateStatus
    Accommodation (Mid-range)$2,200Estimate
    JR Pass & Local Transit$950Verified
    Dining & Food Tours$1,500User Priority
    Admissions & Activities$350Estimate
    Total$5,000On Budget

    Next steps

    1. Confirm arrival/departure airport codes to lock in the final day transfer buffer.
    2. Verify seasonal opening hours for the Gion Matsuri museum exhibits in October.
    3. Review the Kyoto "Slow" day (Day 6) to ensure it meets your relaxation needs.

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

    About this skill

    The problem

    General AI chat often suggests impossible travel routes, ignores realistic transfer times, or hallucinates "verified" pricing. Developers and travelers end up with beautiful itineraries that fail the moment they try to book a train or account for luggage logistics.

    What it does

    • Generates geographic-flow optimized routes that minimize backtracking and travel fatigue.
    • Calculates door-to-door transfer windows including security, baggage, and local transit buffers.
    • Produces categorized budget tables distinguishing between user-provided data, tool-verified facts, and planning estimates.
    • Enforces "recovery periods" and effort-level tagging to ensure itineraries remain physically sustainable.
    • Validates route feasibility against seasonal daylight, weekly venue closures, and transport schedules.

    Why this beats prompting it yourself

    Basic prompts fail to account for the "logistics tax" of travel, like check-in windows and airport transfers. This skill applies rigorous normalization to time zones and flight dates while explicitly separating verified data from assumptions, preventing the hallucinated precision common in standard LLM outputs.

    Use cases

    • Creating multi-city international loops with complex rail and ferry connections.
    • Planning high-pace business trips that require strict arrival deadlines and buffer zones.
    • Designing accessible family vacations that balance mobility needs with geographic depth.
    • Building budget-conscious backpacking routes with transparent cost-tiering.

    Known limitations

    Cannot perform actual bookings or financial transactions. Requires manual verification for real-time visa policy changes or sudden local strikes.

    Cannot execute bookings or payments. Relies on available tools for live data; otherwise, uses planning estimates. Accuracy depends on user-provided dates and constraints.

    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 any payment.

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    Listed2 months ago

    What's inside

    Frequently Asked Questions

    Unlike standard LLM responses that often suggest impossible schedules, this skill uses geographic optimization to minimize backtracking and calculates realistic 'door-to-door' buffers for transit, security, and baggage logistics.

    The skill is designed to be compatible with most major agentic frameworks and LLM platforms that support external tool integration or custom skill deployment via API.

    You receive the production-ready skill assets, integration documentation, and a set of pre-configured logic parameters for route optimization and budget tiering.

    Yes, the skill allows you to input specific constraints such as mobility levels, 'recovery periods' for rest, and maximum daily travel times to ensure the itinerary is physically sustainable.

    The planner uses a 'logistics tax' framework to distinguish between verified data (like flight times) and estimated costs, providing a transparent budget table that flags where manual verification is still needed.

    Purchasing this skill includes access to version updates for a set period, ensuring your planner stays optimized as we refine the geographic-flow algorithms and logistics normalization.

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