Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Get comprehensive context about a location including nearby places, area description, and optional weather. Use when you need to understand what's around a l...
Get comprehensive context about a location including nearby places, area description, and optional weather. Use when you need to understand what's around a l...
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 context Via clawhub: npx clawhub@latest install context # or: pnpm dlx clawhub@latest install context # or: bunx clawhub@latest install context
Get comprehensive context about a location including nearby places, area description, and optional weather.
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.
# Get context about a location ./scripts/context.sh '{ "location": {"lat": 40.7589, "lon": -73.9851}, "radius": 500 }' # With specific context for tailored insights ./scripts/context.sh '{ "location": {"lat": 40.7589, "lon": -73.9851}, "radius": 500, "context": "lunch options" }' # Include weather data ./scripts/context.sh '{ "location": {"lat": 40.7589, "lon": -73.9851}, "include_weather": true, "weather_forecast": "hourly" }'
curl -X POST -H "X-API-Key: $CAMINO_API_KEY" \ -H "Content-Type: application/json" \ -d '{"location": {"lat": 40.7589, "lon": -73.9851}, "radius": 500, "context": "lunch options"}' \ "https://api.getcamino.ai/context"
FieldTypeRequiredDefaultDescriptionlocationobjectYes-Coordinate with lat/lonradiusintNo500Search radius in meterscontextstringNo-Context for tailored insights (e.g., "outdoor dining")timestringNo-Temporal query formatinclude_weatherboolNofalseInclude weather dataweather_forecaststringNo"daily""daily" or "hourly"
{ "area_description": "Busy commercial district in Midtown Manhattan...", "relevant_places": { "restaurants": [...], "cafes": [...], "transit": [...] }, "location": {"lat": 40.7589, "lon": -73.9851}, "search_radius": 500, "total_places_found": 47, "context_insights": "For lunch, you have many options including..." }
./scripts/context.sh '{ "location": {"lat": 48.8584, "lon": 2.2945}, "radius": 1000, "context": "tourist visiting Paris" }'
./scripts/context.sh '{ "location": {"lat": 40.7589, "lon": -73.9851}, "radius": 500, "context": "business meeting", "include_weather": true }'
./scripts/context.sh '{ "location": {"lat": 37.7749, "lon": -122.4194}, "context": "outdoor activities", "include_weather": true, "weather_forecast": "hourly" }'
Trip planning: Understand what's around a destination before visiting Meeting locations: Find suitable venues for different types of meetings Local recommendations: Provide context-aware suggestions based on user needs Weather-aware planning: Include weather data for outdoor activity planning
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.