tomevault-io Installation
Companion Skills: This is part of the Camino AI location intelligence suite. Install all 6 skills (query, places, relationship, context, route, journey) 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
- Get your API key from https://app.getcamino.ai
- 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: truefor more relevant results when searching by attributes (e.g., "quiet", "cheap") - Enable
answer: truewhen 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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