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 journey

Via clawhub:

npx clawhub@latest install journey
# or: pnpm dlx clawhub@latest install journey
# or: bunx clawhub@latest install journey

Journey - Multi-Stop Planning

Plan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints.

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

# Plan a simple journey
./scripts/journey.sh '{
  "waypoints": [
    {"lat": 40.7128, "lon": -74.0060, "purpose": "Start at hotel"},
    {"lat": 40.7484, "lon": -73.9857, "purpose": "Visit Empire State Building"},
    {"lat": 40.7614, "lon": -73.9776, "purpose": "Lunch in Midtown"}
  ]
}'

# With transport mode and time budget
./scripts/journey.sh '{
  "waypoints": [
    {"lat": 40.7128, "lon": -74.0060, "purpose": "Start"},
    {"lat": 40.7484, "lon": -73.9857, "purpose": "Empire State"},
    {"lat": 40.7614, "lon": -73.9776, "purpose": "MoMA"}
  ],
  "constraints": {
    "transport": "foot",
    "time_budget": "3 hours"
  }
}'

Via curl

curl -X POST -H "X-API-Key: $CAMINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "waypoints": [
      {"lat": 40.7128, "lon": -74.0060, "purpose": "Start"},
      {"lat": 40.7484, "lon": -73.9857, "purpose": "Empire State"}
    ],
    "constraints": {"transport": "foot"}
  }' \
  "https://api.getcamino.ai/journey"

Parameters

Field	Type	Required	Default	Description
waypoints	array	Yes	-	List of waypoints with lat, lon, and purpose (min 2)
constraints.transport	string	No	"walking"	Transport mode: "walking", "car", or "bike"
constraints.time_budget	string	No	-	Time constraint (e.g., "2 hours", "90 minutes")
constraints.preferences	array	No	[]	Route preferences

Waypoint Object

Field	Type	Required	Description
lat	float	Yes	Latitude of the waypoint
lon	float	Yes	Longitude of the waypoint
purpose	string	No	Description of why you're visiting this waypoint

Response Format

{
  "feasible": true,
  "total_distance_km": 4.2,
  "total_time_minutes": 52,
  "total_time_formatted": "52 minutes",
  "transport_mode": "foot",
  "route_segments": [
    {
      "from": "Start",
      "to": "Empire State",
      "distance_km": 4.2,
      "duration_minutes": 52
    }
  ],
  "analysis": {
    "summary": "This walking journey is feasible...",
    "optimization_opportunities": []
  }
}

Examples

Day trip planning

./scripts/journey.sh '{
  "waypoints": [
    {"lat": 48.8584, "lon": 2.2945, "purpose": "Eiffel Tower"},
    {"lat": 48.8606, "lon": 2.3376, "purpose": "Louvre Museum"},
    {"lat": 48.8530, "lon": 2.3499, "purpose": "Notre-Dame"},
    {"lat": 48.8867, "lon": 2.3431, "purpose": "Sacré-Cœur"}
  ],
  "constraints": {
    "transport": "foot",
    "time_budget": "6 hours"
  }
}'

Business meeting route

./scripts/journey.sh '{
  "waypoints": [
    {"lat": 40.7128, "lon": -74.0060, "purpose": "Office"},
    {"lat": 40.7580, "lon": -73.9855, "purpose": "Client meeting"},
    {"lat": 40.7614, "lon": -73.9776, "purpose": "Lunch"},
    {"lat": 40.7128, "lon": -74.0060, "purpose": "Return to office"}
  ],
  "constraints": {
    "transport": "car",
    "time_budget": "2 hours"
  }
}'

Cycling tour

./scripts/journey.sh '{
  "waypoints": [
    {"lat": 37.7749, "lon": -122.4194, "purpose": "Start downtown SF"},
    {"lat": 37.8199, "lon": -122.4783, "purpose": "Golden Gate Bridge"},
    {"lat": 37.8270, "lon": -122.4230, "purpose": "Sausalito"}
  ],
  "constraints": {
    "transport": "bike"
  }
}'

Use Cases

Trip itinerary validation: Check if a planned itinerary is feasible within time constraints
Route optimization: Get suggestions for optimizing multi-stop journeys
Travel time estimation: Understand total journey time across multiple destinations
Tour planning: Plan walking tours, cycling routes, or driving trips