travel-planner

What This Skill Does

The travel-planner skill for OpenClaw is a powerful integration with the Camino AI platform designed to transform complex geographical data into actionable itineraries. By leveraging advanced route optimization and location intelligence, it allows users to specify multiple destinations and constraints—such as travel time, transportation mode, and personal preferences—to generate highly efficient, logical paths. Whether you are orchestrating a multi-stop business trip or a leisure-focused walking tour, this skill handles the heavy lifting of calculating transit windows and optimizing order of operations.

Installation

To integrate this capability into your workflow, you can utilize the clawhub package manager or install directly from the source repository. For a standard installation, execute npx clawhub@latest install travel-planner in your terminal. For those managing complex environments, ensure you have set your CAMINO_API_KEY in your environment variables, typically via your ~/.claude/settings.json file, to allow the skill to authenticate with the Camino API seamlessly. Always ensure your environment is configured for npx or bunx to maintain version parity.

Use Cases

This skill is ideal for professionals needing to plan tight logistical schedules and travelers looking for optimized city exploration. It is particularly effective for:

1. Urban Exploration: Generating step-by-step walking tours that minimize backtracking and maximize time spent at landmarks.
2. Logistics Management: Creating time-budgeted driving routes for field agents or delivery teams who need to hit multiple physical locations within a specific workday.
3. Event Planning: Organizing itinerary snapshots for multi-day conferences or client site visits to ensure realistic transit expectations between meetings.

Example Prompts

1. "Plan a 5-hour walking tour of downtown Tokyo starting at the Shibuya Crossing and ending at the Meiji Jingu shrine, keeping the transit time between stops under 30 minutes."
2. "I need a driving itinerary for three client meetings in San Francisco tomorrow. Start at the Financial District, then visit offices in SOMA and the Mission, ensuring I finish by 4 PM."
3. "Create a day-trip route for a car-based tour of the Pacific Coast Highway starting from Santa Monica, including stops at Malibu and the Point Dume lighthouse with a total time budget of 8 hours."

Tips & Limitations

For the best results, always provide precise coordinates or well-recognized landmarks to ensure the routing algorithm behaves predictably. Keep in mind that while the skill excels at pathing, real-world traffic or unexpected closures are subject to the limitations of the underlying API data updates. The 'time_budget' parameter is a suggestion; always allow for a buffer when scheduling high-stakes appointments. If your itinerary is extremely dense, consider breaking it into multiple segments to maintain accuracy.