A comprehensive AI-driven travel suite providing end-to-end services from intelligent itinerary generation to visa and packing assistance.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install trip-ai
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 trip-ai 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 AI Travel Skill Package?
The AI Travel Skill Package is a sophisticated collection of sub-skills designed to transform how AI agents handle travel logistics. By integrating this package into the Openclaw Skills ecosystem, developers can provide users with a seamless journey from the initial planning phase to the final packing list. The suite leverages real-world data and algorithmic calculations to ensure that every recommendation is accurate, practical, and tailored to specific user interests.
This package acts as a bridge between high-level user intents and actionable travel data. Whether it is calculating a complex budget for a multi-city European tour or generating a day-by-day breakdown of attractions in Tokyo, these Openclaw Skills provide the technical foundation for a truly intelligent travel assistant.
AI Travel Skill Package Use Cases
- Creating multi-day, interest-based itineraries for specific destinations like Tokyo or Yunnan.
- Researching destination-specific details including local culture, safety tips, and best travel seasons.
- Calculating comprehensive travel budgets including hidden costs like taxes and local transit.
- Checking real-time visa requirements and generating document checklists for international travel.
- Generating smart packing lists based on 7-day weather forecasts and destination climate.
How AI Travel Skill Package Works
- The system identifies a travel-related intent and triggers the itinerary-skill to create a foundational route framework.
- The destination-guide-skill enriches the itinerary with specific point-of-interest (POI) details and local culinary recommendations.
- The travel-budget-skill analyzes the generated plan to estimate total costs and optimize budget allocation.
- The visa-documents-skill verifies the user's travel eligibility based on their passport and destination policy.
- Finally, the weather-packing-skill provides a final layer of preparation by suggesting specific clothing and gear based on the travel dates.
AI Travel Skill Package Setup
To deploy this suite within your environment, ensure you have python3 installed. Follow these steps to initialize the Openclaw Skills:
# Clone the travel skill repository
git clone https://github.com/openclaw/ai-travel-skill-package.git
# Install required dependencies
cd ai-travel-skill-package
pip install -r requirements.txt
# Configure your OpenAI API adapter
cp .env.example .env
# Edit .env with your credentials
AI Travel Skill Package Data Schema & Taxonomy
The skill package utilizes a shared data model to ensure consistency across sub-skills. Below is the primary metadata structure:
| Object | Description | Key Fields |
|---|---|---|
| TravelPlan | The core container for the entire trip | destination, start_date, duration_days, travelers, itinerary |
| DayPlan | Daily breakdown of activities | day_number, morning, afternoon, evening, accommodation |
| Destination | Static and dynamic location data | country, currency, timezone, voltage, top_attractions |
| Response | The unified JSON output format | code, msg, skill, data, meta |
AI Travel Skill Package Advanced Features
- Multi-agent collaboration allowing sub-skills to pass shared data objects sequentially.
- Real-time price monitoring and split-billing calculations for group travel scenarios.
- Intelligent route optimization using shortest-path and minimum-transfer algorithms.
- Automated passport expiration reminders and visa processing time estimations.
- Dynamic luggage weight evaluation based on suggested packing lists.
SKILL.md
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