Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Search for places using natural language with Camino AI's location intelligence API. Returns relevant results with coordinates, distances, and metadata. Use...
Search for places using natural language with Camino AI's location intelligence API. Returns relevant results with coordinates, distances, and metadata. Use...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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
Search for places using natural language. The AI automatically generates coordinates for known locations when not provided.
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.
# 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}'
curl -H "X-API-Key: $CAMINO_API_KEY" \ "https://api.getcamino.ai/query?query=coffee+shops+near+Times+Square&limit=5"
ParameterTypeRequiredDefaultDescriptionquerystringYes*-Natural language query (e.g., "coffee shops near Times Square")latfloatNo-Latitude for search center. AI generates if omitted for known locations.lonfloatNo-Longitude for search center. AI generates if omitted for known locations.radiusintNo1000Search radius in meters (100-50000)rankboolNotrueUse AI to rank results by relevancelimitintNo20Maximum results (1-100)offsetintNo0Pagination offsetanswerboolNofalseGenerate human-readable summarytimestringNo-Temporal query: "2020-01-01", "2020..", or "2020..2024"osm_idsstringNo-Comma-separated OSM IDs (e.g., "node/123,way/456")modestringNo"basic""basic" (OSM only) or "advanced" (web enrichment) *Either query or osm_ids is required.
{ "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..." }
./scripts/query.sh '{"query": "Italian restaurants", "lat": 40.7128, "lon": -74.0060, "limit": 10}'
./scripts/query.sh '{"query": "best brunch spots in Brooklyn", "answer": true}'
./scripts/query.sh '{"query": "restaurants", "lat": 40.7589, "lon": -73.9851, "time": "2020-01-01"}'
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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