query

📁 barneyjm/camino-skills 📅 13 days ago

总安装量

周安装量

#21260

全站排名

安装命令

npx skills add https://github.com/barneyjm/camino-skills --skill query

Agent 安装分布

openclaw 6

opencode 4

codex 3

amp 2

github-copilot 2

Skill 文档

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

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