An advanced travel optimization tool that automates complex multi-destination logistics and generates professional HTML itinerary reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multi-city-planner
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install multi-city-planner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Multi-City Planner?
Multi-City Planner is a sophisticated travel logistics engine built for the Openclaw Skills ecosystem. It simplifies the daunting task of planning trips that span multiple countries or cities by automatically analyzing and comparing various booking strategies. The tool evaluates multi-leg flight tickets, open-jaw (gap) routes, and combinations of round-trips with internal transit to identify the most cost-effective and time-efficient path for the traveler.
Beyond just flights, this skill integrates ground transportation data—including high-speed rail and buses—to provide a holistic view of your journey. By leveraging Openclaw Skills, users can transform raw destination lists into structured, optimized travel plans that minimize backtracking and maximize sightseeing time, all while maintaining a clear view of the total budget.
Multi-City Planner Use Cases
- Planning complex international tours involving 3 to 5 distinct destinations.
- Comparing the cost-benefit of flying between cities versus taking high-speed trains in Europe or Japan.
- Optimizing multi-destination routes to ensure cities within the same country are visited consecutively.
- Creating comprehensive travel proposals or reports for group trips and business travel.
- Identifying the cheapest booking structure, such as comparing a single multi-city ticket against multiple one-way segments.
How Multi-City Planner Works
- The user inputs the starting city, destination list, and travel dates via the plan.js entry point.
- The system identifies the geographic region (e.g., Japan, Europe) and selects the most appropriate search script.
- The skill queries real-time flight and transit data to build several itinerary schemes, including multi-city and open-jaw variations.
- An optimization algorithm sorts the cities to eliminate backtracking and groups same-country destinations for logical flow.
- The tool calculates a total budget estimate, covering everything from international airfare to local city taxes and visa fees.
- A responsive HTML report is generated, featuring interactive cards, comparison tables, and 10 categories of essential travel warnings.
Multi-City Planner Setup
To deploy this tool within your Openclaw Skills environment, ensure you have Node.js installed and follow these steps:
# Install the necessary CLI global dependency
npm install -g @fly-ai/flyai-cli
# Configure your authentication token
flyai config set FLYAI_API_KEY "your-api-key"
# Run a multi-city plan for Japan
node plan.js --origin "Beijing" --cities "Osaka, Tokyo" --dep-date 2026-04-10 --return-date 2026-04-20
Multi-City Planner Data Schema & Taxonomy
The skill produces structured data outputs that are rendered into standard HTML reports. The data taxonomy includes:
| Data Component | Metadata Captured |
|---|---|
| Route Schemes | Comparison of Ranking, Type (Multi-city/Open-jaw), Route, and Total Price. |
| Transit Cards | Comparative analysis of Plane, Train, and Bus options including flight numbers and durations. |
| Daily Schedule | Day-by-day breakdown (Day 1-N) including city, transport mode, and recommended attractions. |
| Budget Table | Itemized costs for international flights, hotels, dining, local transit, and insurance. |
| Travel Warnings | 10-category checklist covering Visas, Luggage policies, Safety, and Local tips. |
Multi-City Planner Advanced Features
- Smart city grouping logic that automatically prioritizes consecutive travel within the same national borders.
- Multi-modal transportation comparison, highlighting the scenic and central-arrival benefits of rail travel over regional flights.
- Automated open-jaw planning to help users avoid returning to their initial arrival city, saving both time and money.
- Region-specific optimization scripts for Hokkaido, Tokyo, and major European hubs.
- Detailed budget forecasting that includes hidden costs like city taxes and visa processing fees.
SKILL.md
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