A powerful AI agent skill that combines social media discovery with transactional booking to handle non-standard hotel requests.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-hotel-search
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 smart-hotel-search 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 Smart Hotel Search?
The Smart Hotel Search skill is a specialized workflow designed for Openclaw Skills that bridges the gap between natural language social discovery and structured hotel booking. While standard travel apps rely on rigid filters, this skill understands nuanced human needs—such as finding a hotel that is truly quiet, senior-friendly, or has a specific aesthetic—by searching real user reviews on social platforms like Xiaohongshu and cross-referencing them with real-time booking data from Fliggy (via FlyAI).
By leveraging this skill, users can bypass the limitations of traditional search engines and access authentic, community-vetted recommendations paired with current pricing and availability. It transforms the way AI agents handle travel logistics by providing a closed-loop system from inspiration to reservation.
Smart Hotel Search Use Cases
- Searching for accommodations with non-standard requirements like "dog-friendly" or "best for elderly travelers."
- Finding "Instagrammable" or trending hotels discovered through social media content.
- Locating hotels with specific hardware or service quality mentioned only in organic user reviews, such as "good soundproofing."
- Cross-validating official hotel descriptions against actual guest experiences before booking.
How Smart Hotel Search Works
- Semantic Analysis: The agent receives a natural language query and identifies the core non-standard search intent.
- Content Discovery: It utilizes opencli to perform a targeted search on social platforms for authentic user reviews.
- AI Extraction: The skill identifies specific hotel names and filters out advertisements or irrelevant content from the search results.
- Availability Check: For each candidate hotel, the agent uses flyai to fetch real-time pricing, room types, and booking links.
- Consolidated Reporting: The agent outputs a final recommendation including social insights, Fliggy ratings, and a direct booking URL.
Smart Hotel Search Setup
To enable this capability within your Openclaw Skills environment, ensure you have the necessary CLI tools installed and authenticated:
# Install FlyAI CLI for booking integration
npm i -g @fly-ai/flyai-cli
# Ensure opencli is installed and Chrome is authenticated to Xiaohongshu
which opencli && echo "opencli installed"
Ensure your Playwright MCP Bridge is active to allow the agent to browse social content securely.
Smart Hotel Search Data Schema & Taxonomy
The skill organizes data into a multi-layered structure to ensure reliability and accuracy:
| Layer | Component | Details |
|---|---|---|
| Discovery | Social Content | Raw text and sentiment from social platform search results. |
| Intelligence | Hotel Entities | Extracted hotel names, distinguishing between hotels, guesthouses, and apartments. |
| Transactional | Booking Info | Real-time price, check-in/out dates, and availability status from FlyAI. |
| Synthesis | Recommendation | A combined score based on user sentiment and platform ratings. |
Smart Hotel Search Advanced Features
- Multi-perspective searching: Automatically expands queries (e.g., searching for both "pet friendly" and "dog allowed") to maximize result coverage.
- Automated Ad Filtering: Intelligently skips sponsored posts and promotional content to find genuine user recommendations.
- Cross-Platform Verification: Matches Xiaohongshu social sentiment with official Fliggy scores for more reliable Openclaw Skills outputs.
- Dynamic Date Handling: Supports natural language date processing for automated check-in and check-out parameters.
SKILL.md
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