Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Get detailed routing between two points with distance, duration, and optional turn-by-turn directions. Use when you need navigation instructions or travel ti...
Get detailed routing between two points with distance, duration, and optional turn-by-turn directions. Use when you need navigation instructions or travel ti...
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 route Via clawhub: npx clawhub@latest install route # or: pnpm dlx clawhub@latest install route # or: bunx clawhub@latest install route
Get detailed routing between two points with distance, duration, and optional turn-by-turn directions.
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 driving directions ./scripts/route.sh '{ "start_lat": 40.7128, "start_lon": -74.0060, "end_lat": 40.7589, "end_lon": -73.9851 }' # Walking directions ./scripts/route.sh '{ "start_lat": 40.7128, "start_lon": -74.0060, "end_lat": 40.7589, "end_lon": -73.9851, "mode": "foot" }' # With route geometry for mapping ./scripts/route.sh '{ "start_lat": 40.7128, "start_lon": -74.0060, "end_lat": 40.7589, "end_lon": -73.9851, "mode": "bike", "include_geometry": true }'
curl -H "X-API-Key: $CAMINO_API_KEY" \ "https://api.getcamino.ai/route?start_lat=40.7128&start_lon=-74.0060&end_lat=40.7589&end_lon=-73.9851&mode=car"
ParameterTypeRequiredDefaultDescriptionstart_latfloatYes-Starting latitudestart_lonfloatYes-Starting longitudeend_latfloatYes-Ending latitudeend_lonfloatYes-Ending longitudemodestringNo"car"Transport mode: "car", "bike", or "foot"include_geometryboolNofalseInclude detailed route geometry for mappinginclude_imageryboolNofalseInclude street-level imagery at waypoints
{ "distance_km": 6.8, "duration_minutes": 18, "mode": "car", "summary": "Head north on Broadway, then east on 42nd Street", "steps": [ { "instruction": "Head north on Broadway", "distance_m": 2400, "duration_s": 420 }, { "instruction": "Turn right onto 42nd Street", "distance_m": 1800, "duration_s": 300 } ] }
./scripts/route.sh '{ "start_lat": 51.5074, "start_lon": -0.1278, "end_lat": 51.5014, "end_lon": -0.1419, "mode": "foot" }'
./scripts/route.sh '{ "start_lat": 37.7749, "start_lon": -122.4194, "end_lat": 37.8199, "end_lon": -122.4783, "mode": "bike", "include_geometry": true }'
./scripts/route.sh '{ "start_lat": 40.7128, "start_lon": -74.0060, "end_lat": 40.7589, "end_lon": -73.9851, "mode": "car", "include_imagery": true }'
Navigation: Get turn-by-turn directions for any transport mode Travel time estimation: Know how long it takes to get between two points Map visualization: Include geometry data for drawing routes on maps Commute planning: Compare driving, cycling, and walking times
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.