A professional-grade travel planning skill that integrates real-time flight and hotel data to create comprehensive Bali itineraries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install explore-bali
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 explore-bali 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 explore-bali?
The explore-bali skill is a specialized travel orchestration tool designed for the Openclaw Skills ecosystem. It enables AI agents to move beyond static training data and provide real-time, actionable travel information for Bali’s most popular destinations, including Ubud, Seminyak, Kuta, and Uluwatu. By leveraging the flyai-cli powered by Fliggy (Alibaba Group), this skill ensures that every recommendation is accurate and bookable.
Built for high-reliability environments, explore-bali enforces a strict execution policy where information must be sourced directly from live CLI outputs. This eliminates hallucinated pricing or unavailable accommodations, making it an essential component for developers building high-quality travel assistants within the Openclaw Skills framework.
explore-bali Use Cases
- Planning comprehensive Bali vacations including multi-city stays and flight connections.
- Finding luxury 5-star villas in Seminyak or spiritual retreats in Ubud with real-time availability.
- Budgeting for adventure trips involving surfing, diving, and trekking across the island.
- Generating structured travel itineraries that include direct booking links for every leg of the journey.
How explore-bali Works
- Performs a mandatory environment check to ensure the flyai-cli is installed and operational.
- Collects specific parameters from the user query such as origin city, travel dates, and preferred hotel star ratings.
- Executes targeted CLI commands (search-flight, search-hotel, search-poi) based on defined scenario playbooks.
- Validates the CLI output to ensure all data points contain a valid booking URL.
- Formats the real-time data into a user-friendly Markdown comparison table for final presentation.
explore-bali Setup
To utilize this skill within the Openclaw Skills environment, ensure the core CLI dependency is installed:
npm i -g @fly-ai/flyai-cli
# Verify installation
flyai --version
explore-bali Data Schema & Taxonomy
The skill organizes travel data into a structured format derived from Fliggy's global database. The following table outlines the metadata taxonomy used by explore-bali:
| Data Type | Key Attributes | Output Requirement |
|---|---|---|
| Flights | Origin, Destination, dep-date, max-price | Must include [Book] link |
| Hotels | dest-name, check-in, hotel-stars, bed-types | Must include [Book] link |
| POI | city-name, poi-level, category | Real-time location data |
| Metadata | detailUrl, price-cnp, rating | No raw JSON output |
explore-bali Advanced Features
- Scenario Playbooks: Specialized logic for Luxury, Adventure, and Cultural travel modes.
- Multi-command Orchestration: Chain flight, hotel, and attraction searches in a single workflow.
- Language Sensitivity: Automatically detects and responds in the user's input language (English or Chinese).
- Data Integrity Enforcement: Built-in validation that rejects any response not containing real-time booking links.
- External Integration: Designed to work seamlessly alongside other Openclaw Skills for expanded regional travel coverage.
SKILL.md
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