🧠Camino Route OpenClaw Plugin & Skill | ClawHub
Looking to integrate Camino Route into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate transportation tasks instantly, without having to write custom tools from scratch.
What this skill does
Get detailed routing between two points with distance, duration, and optional turn-by-turn directions. Use when you need navigation instructions or travel time estimates between locations.
Install
npx clawhub@latest install camino-routeFull SKILL.md
Open original| name | description |
|---|---|
| route | Get detailed routing between two points with distance, duration, and optional turn-by-turn directions. Use when you need navigation instructions or travel time estimates between locations. |
SKILL.md content below is scrollable.
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 route
Via clawhub:
npx clawhub@latest install route
# or: pnpm dlx clawhub@latest install route
# or: bunx clawhub@latest install route
Route - Point-to-Point Navigation
Get detailed routing between two points with distance, duration, and optional turn-by-turn directions.
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
# 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
}'
Via curl
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"
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| start_lat | float | Yes | - | Starting latitude |
| start_lon | float | Yes | - | Starting longitude |
| end_lat | float | Yes | - | Ending latitude |
| end_lon | float | Yes | - | Ending longitude |
| mode | string | No | "car" | Transport mode: "car", "bike", or "foot" |
| include_geometry | bool | No | false | Include detailed route geometry for mapping |
| include_imagery | bool | No | false | Include street-level imagery at waypoints |
Response Format
{
"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
}
]
}
Examples
Walking directions
./scripts/route.sh '{
"start_lat": 51.5074,
"start_lon": -0.1278,
"end_lat": 51.5014,
"end_lon": -0.1419,
"mode": "foot"
}'
Cycling with geometry
./scripts/route.sh '{
"start_lat": 37.7749,
"start_lon": -122.4194,
"end_lat": 37.8199,
"end_lon": -122.4783,
"mode": "bike",
"include_geometry": true
}'
Driving directions with imagery
./scripts/route.sh '{
"start_lat": 40.7128,
"start_lon": -74.0060,
"end_lat": 40.7589,
"end_lon": -73.9851,
"mode": "car",
"include_imagery": true
}'
Use Cases
- 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