什么是 酒店搜索器？

酒店搜索器是 Openclaw Skills 生态系统中的专用工具，旨在弥合简单地图搜索与智能旅行规划之间的差距。它利用 Camino AI 的位置情报，帮助用户查找特定地标、会议中心或社区附近的酒店、旅馆和其他住宿选项。

该工具的独特之处在于其 AI 驱动的排名系统，该系统根据相关性和距离评估搜索结果，以提供易于理解的摘要。无论您是在构建自动化旅行代理还是位置侦察工具，此技能都能提供高效做出明智住宿决策所需的结构化数据和背景信息。

下载入口:https://github.com/openclaw/skills/tree/main/skills/james-southendsolutions/camino-hotel-finder

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

酒店搜索器 应用场景

• 在 Moscone 中心等特定会议场馆步行距离内寻找便捷的住宿选择。
• 在人口密集的国际社区为背包客应用搜索经济实惠的旅馆。
• 定位肯尼迪或希思罗等交通枢纽特定半径范围内的酒店。
• 为个性化旅行路线生成精品酒店排名列表。

1. 用户输入自然语言查询或特定地理坐标（纬度和经度）。
2. 该技能查询 Camino AI 后端，以识别指定半径内的所有相关住宿物业。
3. AI 排名层处理原始结果，根据用户意图优先排序最相关的选项。
4. 该技能返回一个结构化 JSON 对象，包含物业详情、距离指标、相关性得分和 AI 生成的文本摘要。

酒店搜索器 配置指南

要将此技能集成到您的工作流中，您必须先获得 Camino API 密钥。您可以使用以下命令获取试用密钥：

curl -s -X POST -H "Content-Type: application/json" -d '{"email": "you@example.com"}' https://api.getcamino.ai/trial/start

获得密钥后，通过 clawhub 安装该技能，这是管理 Openclaw Skills 的首选方法：

npx clawhub@latest install hotel-finder

最后，将您的 API 密钥添加到 ~/.claude/settings.json 中的环境设置：

{
  "env": {
    "CAMINO_API_KEY": "your-api-key-here"
  }
}

酒店搜索器 数据架构与分类体系

该技能生成详细的 JSON 响应，其中包括每个搜索结果的以下元数据：

name: hotel-finder
description: "Search for hotels, hostels, and lodging near landmarks, conference venues, or neighborhoods using Camino AI's location intelligence with AI-powered ranking."
metadata: {"clawdbot":{"emoji":"??","requires":{"env":["CAMINO_API_KEY"]},"primaryEnv":"CAMINO_API_KEY"}}

Installation

Companion Skills: This is part of the Camino AI location intelligence suite. Install all available skills (query, places, relationship, context, route, journey, real-estate, hotel-finder, ev-charger, school-finder, parking-finder, fitness-finder, safety-checker, travel-planner) for comprehensive coverage.

# Install all skills from repo
npx skills add https://github.com/barneyjm/camino-skills

# Or install specific skills
npx skills add https://github.com/barneyjm/camino-skills --skill hotel-finder

Via clawhub:

npx clawhub@latest install hotel-finder
# or: pnpm dlx clawhub@latest install hotel-finder
# or: bunx clawhub@latest install hotel-finder

Hotel Finder

Search for hotels, hostels, and lodging near landmarks, conference venues, or neighborhoods. Results are AI-ranked for relevance and include a human-readable summary.

Setup

Instant Trial (no signup required): Get a temporary API key with 25 calls:

curl -s -X POST -H "Content-Type: application/json" r
  -d '{"email": "you@example.com"}' r
  https://api.getcamino.ai/trial/start

Returns: {"api_key": "camino-xxx...", "calls_remaining": 25, ...}

For 1,000 free calls/month, sign up at https://app.getcamino.ai/skills/activate.

Add your key to Claude Code:

Add to your ~/.claude/settings.json:

{
  "env": {
    "CAMINO_API_KEY": "your-api-key-here"
  }
}

Restart Claude Code.

Usage

Via Shell Script

# Search for hotels near a landmark
./scripts/hotel-finder.sh '{"query": "hotels near the Eiffel Tower", "limit": 5}'

# Search with specific coordinates
./scripts/hotel-finder.sh '{"query": "boutique hotels", "lat": 40.7589, "lon": -73.9851, "radius": 1000}'

# Search for hostels in a city
./scripts/hotel-finder.sh '{"query": "hostels in Barcelona", "limit": 10}'

Via curl

curl -H "X-API-Key: $CAMINO_API_KEY" r
  "https://api.getcamino.ai/query?query=hotels+near+the+Eiffel+Tower&limit=5&rank=true&answer=true"

Parameters

Response Format

{
  "query": "hotels near the Eiffel Tower",
  "results": [
    {
      "name": "Hotel du Champ de Mars",
      "lat": 48.8555,
      "lon": 2.3005,
      "type": "hotel",
      "distance_m": 350,
      "relevance_score": 0.92,
      "address": "..."
    }
  ],
  "ai_ranked": true,
  "pagination": {
    "total_results": 15,
    "limit": 5,
    "offset": 0,
    "has_more": true
  },
  "answer": "I found several hotels near the Eiffel Tower. The closest is..."
}

Examples

Hotels near a conference venue

./scripts/hotel-finder.sh '{"query": "hotels near Moscone Center San Francisco", "limit": 10}'

Budget hostels in a city

./scripts/hotel-finder.sh '{"query": "hostels in Amsterdam", "radius": 3000, "limit": 15}'

Lodging near an airport

./scripts/hotel-finder.sh '{"query": "hotels near JFK airport", "radius": 5000}'

Best Practices

• Include the landmark or neighborhood in your query for best results without coordinates
• Use larger radius (3000-5000m) for suburban or airport searches
• Use smaller radius (500-1000m) for dense city centers
• Combine with the route skill to calculate travel times from hotels to your destination
• Combine with the context skill for a full neighborhood assessment around each hotel
• The AI ranking prioritizes proximity and relevance to your query intent