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    query

    Search for places using natural language with Camino AI's location intelligence.

    By @barneyjm
    View on GitHub
    SKILL.md
    ---
    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.
    
    ```bash
    # 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:**
    ```bash
    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:
    
    ```bash
    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](https://app.getcamino.ai/skills/activate).
    
    **Add your key to Claude Code:**
    
    Add to your `~/.claude/settings.json`:
    
    ```json
    {
      "env": {
        "CAMINO_API_KEY": "your-api-key-here"
      }
    }
    ```
    
    Restart Claude Code.
    
    ## Usage
    
    ### Via Shell Script
    
    ```bash
    # 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
    
    ```bash
    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
    
    ```json
    {
      "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
    ```bash
    ./scripts/query.sh '{"query": "Italian restaurants", "lat": 40.7128, "lon": -74.0060, "limit": 10}'
    ```
    
    ### Search with AI answer
    ```bash
    ./scripts/query.sh '{"query": "best brunch spots in Brooklyn", "answer": true}'
    ```
    
    ### Historical data query
    ```bash
    ./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