Pool Hotel Search Skill for Openclaw

A specialized AI agent skill for discovering and booking hotels with specific swimming pool amenities using real-time Fliggy data.

xiejinsong
v3.2.0
Apr 11, 2026
0
655
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install pool-hotel

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install pool-hotel 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 Pool Hotel Search Skill?

The pool-hotel skill is a technical extension designed for AI agents to provide verified, real-time travel information. Unlike standard LLMs that rely on static training data, this skill interfaces directly with the flyai CLI to fetch live inventory from Fliggy (Alibaba Group). It ensures that every recommendation is backed by a valid booking link and up-to-date pricing.

By integrating this tool, developers can empower their agents to handle complex travel queries involving specific aquatic amenities—ranging from heated indoor pools for winter stays to luxury rooftop infinity pools for city breaks. The skill prioritizes technical accuracy, strictly forbidding the hallucination of travel details and requiring a mandatory CLI environment check before execution.

Pool Hotel Search Skill Use Cases

  • Searching for luxury resorts with outdoor infinity pools in specific vacation destinations.
  • Finding family-friendly hotels with dedicated kids' splash areas and water play zones.
  • Locating business hotels with indoor heated pools for year-round fitness and relaxation.
  • Comparing hotel ratings and real-time pricing for pool-equipped stays during specific dates.

How Pool Hotel Search Skill Works

  1. The AI agent detects a pool-related travel query and triggers the Openclaw Skills environment check.
  2. The system verifies the installation of the flyai-cli and installs it via npm if missing.
  3. User parameters such as destination, check-in dates, and specific pool types are collected and mapped to CLI arguments.
  4. The agent executes the specific flyai search-hotel command using targeted keywords like indoor pool or infinity pool.
  5. The raw JSON output from the CLI is parsed and validated to ensure the presence of mandatory booking URLs.
  6. A structured Markdown response is generated, featuring a comparison table and direct booking links for the user.

Pool Hotel Search Skill Setup

To utilize this skill, ensure you have Node.js installed, then run the following command to set up the necessary travel engine:

npm i -g @fly-ai/flyai-cli
# Verify installation
flyai --version

Pool Hotel Search Skill Data Schema & Taxonomy

The skill processes and organizes hotel data using a strict schema derived from the CLI output.

Feature Description Taxonomy/Key
Destination The target city or geographic area --dest-name
Date Range ISO 8601 formatted check-in/out dates YYYY-MM-DD
Sorting Logic for ordering results rate_desc, price_asc, distance_asc
Booking Link Mandatory direct-to-merchant URL detailUrl
Pool Keywords Filtering for specific pool sub-types 无边泳池, 室内泳池

Pool Hotel Search Skill Advanced Features

  • Multi-Playbook Execution: Automatically switches logic between Playbook A (General), B (Infinity), or C (Indoor) based on semantic intent.
  • Strict Validation Protocol: Includes a self-test mechanism that rejects any response lacking verified booking links or containing hallucinated data.
  • Localization Support: Seamlessly handles bilingual inputs and outputs, supporting both English and Chinese queries for global travel planning.
  • Real-time Pricing Integration: Pulls dynamic pricing directly from Fliggy to ensure users see current availability rather than cached data.

SKILL.md


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