360 Secure SkillHub
360 安全技能中心

Query

核心功能:依托Camino AI位置智能API,用自然语言搜索餐厅、地标等各类兴趣点,AI可自动生成已知地点坐标,支持筛选、AI排序,还能生成自然语言总结。典型场景:查找附近咖啡馆、城市特色餐饮等。输入为自然语言查询,可搭配经纬度、半径等参数;输出含地点信息、坐标、距离的JSON数据,可选AI总结文本。需配置API密钥,提供试用及免费额度。

barneyjm
barneyjm
热度 76.85
最近更新 2026-05-20 08:40:30
分类:生活依赖:第三方 API应用场景:旅行 / 购物 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add query
Metadata
name
query
description
Search for places using natural language with Camino AI's location intelligence API. Returns relevant results with coordinates, distances, and metadata. Use when you need to find real-world locations like restaurants, shops, landmarks, or any point of interest.
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 query

Via clawhub:

npx clawhub@latest install query
# or: pnpm dlx clawhub@latest install query
# or: bunx clawhub@latest install query

Query - Natural Language Place Search

Search for places using natural language. The AI automatically generates coordinates for known locations when not provided.

Setup

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

curl -s -X POST -H "Content-Type: application/json" \
  -d '{"email": "you@example.com"}' \
  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 coffee shops near Times Square
./scripts/query.sh '{"query": "coffee shops near Times Square", "limit": 5}'

# Search with specific coordinates
./scripts/query.sh '{"query": "quiet cafes with wifi", "lat": 40.7589, "lon": -73.9851, "radius": 500}'

# Get AI-generated answer with results
./scripts/query.sh '{"query": "best pizza in Manhattan", "answer": true, "rank": true}'

Via curl

curl -H "X-API-Key: $CAMINO_API_KEY" \
  "https://api.getcamino.ai/query?query=coffee+shops+near+Times+Square&limit=5"

Parameters

Parameter Type Required Default Description
query string Yes* - Natural language query (e.g., "coffee shops near Times Square")
lat float No - Latitude for search center. AI generates if omitted for known locations.
lon float No - Longitude for search center. AI generates if omitted for known locations.
radius int No 1000 Search radius in meters (100-50000)
rank bool No true Use AI to rank results by relevance
limit int No 20 Maximum results (1-100)
offset int No 0 Pagination offset
answer bool No false Generate human-readable summary
time string No - Temporal query: "2020-01-01", "2020..", or "2020..2024"
osm_ids string No - Comma-separated OSM IDs (e.g., "node/123,way/456")
mode string No "basic" "basic" (OSM only) or "advanced" (web enrichment)

*Either query or osm_ids is required.

Response Format

{
  "query": "quiet coffee shops with wifi",
  "results": [
    {
      "name": "Blue Bottle Coffee",
      "lat": 40.7601,
      "lon": -73.9847,
      "type": "cafe",
      "distance_m": 150,
      "relevance_score": 0.95,
      "address": "..."
    }
  ],
  "ai_ranked": true,
  "pagination": {
    "total_results": 23,
    "limit": 5,
    "offset": 0,
    "has_more": true
  },
  "answer": "I found several quiet coffee shops with wifi near Times Square..."
}

Examples

Find nearby restaurants

./scripts/query.sh '{"query": "Italian restaurants", "lat": 40.7128, "lon": -74.0060, "limit": 10}'

Search with AI answer

./scripts/query.sh '{"query": "best brunch spots in Brooklyn", "answer": true}'

Historical data query

./scripts/query.sh '{"query": "restaurants", "lat": 40.7589, "lon": -73.9851, "time": "2020-01-01"}'

Best Practices

  • For known locations (cities, landmarks), you can omit lat/lon and let the AI generate coordinates
  • Use rank: true for more relevant results when searching by attributes (e.g., "quiet", "cheap")
  • Enable answer: true when you need a natural language summary of results
  • Use mode: "advanced" for richer place data from web sources
  • Keep queries descriptive but concise for best AI interpretation