query

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.

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Install skill "query" with this command: npx skills add https://github.com/barneyjm/camino-skills

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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