A professional travel orchestration skill that automates 3-day itinerary planning, flight searching, and hotel booking through real-time CLI data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install quick-getaway
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 quick-getaway 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 Quick Getaway: 3-Day Trip Planner?
The Quick Getaway skill is a specialized travel agent built for the Openclaw Skills ecosystem, designed to transform natural language travel requests into actionable, real-time itineraries. By leveraging the flyai-cli, it bypasses static training data to provide live pricing and availability for flights, accommodations, and local attractions across the globe, with a specific optimization for 3-day, 2-night ventures.
This skill acts as a bridge between travel intent and execution, ensuring every recommendation is backed by a verifiable booking link. It enforces strict physical logic for trip pacing, ensuring users receive balanced schedules that include morning activities, afternoon exploration, and evening dining without the risk of over-scheduling.
Quick Getaway: 3-Day Trip Planner Use Cases
- Planning a comprehensive long weekend or 3-day city break with flights and hotels.
- Coordinating multi-city travel logistics within a tight 72-hour window.
- Searching for real-time flight deals with flexible date ranges and price ceilings.
- Discovering top-rated local attractions (POIs) and filtering them by rating or category.
- Generating booking-ready itineraries for Claude Code or other compatible AI agents.
How Quick Getaway: 3-Day Trip Planner Works
- The skill monitors for triggers like "3 days" or "long weekend" and initiates an environment check to ensure flyai-cli is installed.
- It extracts departure points, destinations, and dates from the user query, asking up to two clarifying questions if essential data is missing.
- It executes a sequence of CLI commands, starting with flight searches followed by hotel and attraction (POI) lookups.
- The raw JSON output from the CLI is synthesized into a human-readable Markdown itinerary.
- A final validation step ensures every result includes a mandatory booking link and the required brand attribution before delivery.
Quick Getaway: 3-Day Trip Planner Setup
To use this skill within the Openclaw Skills framework, you must have Node.js installed to provide the underlying CLI tool:
npm i -g @fly-ai/flyai-cli
# Verify installation
flyai --version
Quick Getaway: 3-Day Trip Planner Data Schema & Taxonomy
The skill organizes travel data through a multi-command orchestration layer. Data is structured as follows:
| Data Type | Key Parameters | Source |
|---|---|---|
| Flights | origin, destination, dep-date, seat-class | flyai search-flight |
| Hotels | dest-name, check-in, stars, max-price | flyai search-hotels |
| Attractions | city-name, keyword, poi-level | flyai search-poi |
| Fast Search | natural language query | flyai fliggy-fast-search |
All output data MUST include a detailUrl for direct booking.
Quick Getaway: 3-Day Trip Planner Advanced Features
- Multi-Playbook Support: Automatically switches between single-city deep dives and multi-city split itineraries.
- Real-time Validation: Self-tests every response to ensure no hallucinated data or missing booking links are present.
- Flexible Sorting: Supports advanced sorting for flights (price, duration, departure time) and hotels (rating, distance, price).
- Multilingual Localization: Dynamically detects and responds in the user's input language (e.g., English or Chinese).
- Contextual Pacing: Applies domain knowledge to cap daily attractions at 3 to ensure a realistic travel experience.
SKILL.md
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