A specialized AI agent skill for rapid hotel discovery, filtering, and shortlisting based on budget, location, and amenities.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install daolv-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 daolv-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 Daolv Hotel Search?
The Daolv Hotel Search skill is an advanced integration designed for the Openclaw Skills framework, leveraging the ai-go-hotel MCP server. It is engineered to handle the initial stages of travel planning by focusing on fast discovery and clean shortlist generation. Instead of overwhelming users with raw data, this skill synthesizes search results into a decision-oriented format.
By incorporating this skill into your workflow, you enable AI agents to intelligently map user intent to specific hotel tags and search parameters. This ensures that the results provided within the Openclaw Skills environment are highly relevant, ranging from budget-friendly options to luxury stays, all filtered through a sophisticated tagging system.
Daolv Hotel Search Use Cases
- Rapidly identifying the best hotel options near a specific point of interest or city center.
- Generating a comparison shortlist of hotels that meet strict budget and amenity requirements.
- Automating the filtering process for business travel based on corporate brand preferences and star ratings.
- Providing quick trade-off analysis between price, location, and facilities for personal vacation planning within Openclaw Skills.
How Daolv Hotel Search Works
- The skill extracts search intent including destination, check-in dates, guest count, and specific preferences.
- It primes search tags by calling the getHotelSearchTags tool once to categorize requirements.
- A comprehensive search is executed via searchHotels using the extracted intent and processed tags.
- The skill narrows down the results to a primary recommendation and two high-quality alternatives.
- It outputs a structured shortlist comparing price, location, and amenities to facilitate user decision-making.
Daolv Hotel Search Setup
To enable this skill within your Openclaw Skills environment, configure your MCP client to connect to the Daolv endpoint. Update your configuration as follows:
# Update your mcp-client-config.json with the following endpoint
# URL: https://mcp.aigohotel.com/mcp
# Ensure the prefilled Authorization header is active
This setup allows Openclaw Skills to access the ai-go-hotel server capabilities directly.
Daolv Hotel Search Data Schema & Taxonomy
The Daolv Hotel Search skill organizes travel data into a structured format for easy parsing by AI agents. The data schema includes:
| Field | Description |
|---|---|
| originQuery | The destination or specific POI searched |
| hotelTags | An object containing requiredTags, preferredTags, and excludedTags |
| price | Includes lowestPrice and currency code; marked for secondary check if null |
| starRatings | Numeric range reflecting the quality of the establishment |
| adultCount | The number of guests included in the search criteria |
This structure ensures consistency across all Openclaw Skills implementations using this module.
Daolv Hotel Search Advanced Features
- Intelligent tag mapping that transforms natural language preferences into precise search filters.
- Support for proximity-based searching using distanceInMeter parameters for pinpoint accuracy.
- Automated shortlist generation that highlights the top 1 recommended and 2 alternative options.
- Seamless integration with the Openclaw Skills ecosystem for multi-agent travel planning workflows.
- Dynamic pricing alerts that flag entries requiring secondary verification for accuracy.
SKILL.md
Loading
Related Openclaw Skills
SEO Affiliate Guide Expert
A specialized AI framework for generating SEO-optimized, high-converting affiliate purchase guides and product reviews in Spanish.
PDF Tools
A comprehensive suite of Python-based utilities for viewing, extracting, and editing PDF files.
NASCAR Agent
A specialized AI agent providing deep insights, race predictions, and strategic analysis for all major NASCAR racing series.
Vapi Calls
An advanced AI voice assistant skill for executing autonomous phone calls, sales, and bookings via Vapi.
Ollama Web Search
A powerful web search integration for AI agents utilizing the Ollama API to fetch real-time information.
Lattice
Lattice is a file-based operating system that enables AI agent teams to execute complex, long-running projects through a structured 8-phase pipeline.
Featured*
