---

name: travel-planner description: "Plan complete day trips, walking tours, and multi-stop itineraries with time budgets using Camino AI's journey planning and route optimization." metadata: {"clawdbot":{"emoji":"✈️","requires":{"env":["CAMINO_API_KEY"],"binaries":["curl","jq"]},"primaryEnv":"CAMINO_API_KEY"}}

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 travel-planner

Via clawhub:

npx clawhub@latest install travel-planner
# or: pnpm dlx clawhub@latest install travel-planner
# or: bunx clawhub@latest install travel-planner

Travel Planner

Plan complete day trips, walking tours, and multi-stop itineraries with time budgets. Wraps the Camino AI journey endpoint with opinionated defaults for travel planning.

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

# Plan a walking tour in Paris
./scripts/travel-planner.sh '{
  "waypoints": [
    {"lat": 48.8584, "lon": 2.2945, "purpose": "Eiffel Tower"},
    {"lat": 48.8606, "lon": 2.3376, "purpose": "Louvre Museum"}
  ],
  "constraints": {"transport": "foot", "time_budget": "4 hours"}
}'

# Plan a driving day trip
./scripts/travel-planner.sh '{
  "waypoints": [
    {"lat": 34.0195, "lon": -118.4912, "purpose": "Santa Monica Pier"},
    {"lat": 34.0259, "lon": -118.7798, "purpose": "Malibu Beach"},
    {"lat": 34.0922, "lon": -118.3287, "purpose": "Hollywood Sign viewpoint"}
  ],
  "constraints": {"transport": "car", "time_budget": "6 hours"}
}'

# Simple two-stop trip
./scripts/travel-planner.sh '{
  "waypoints": [
    {"lat": 40.7484, "lon": -73.9857, "purpose": "Empire State Building"},
    {"lat": 40.7614, "lon": -73.9776, "purpose": "MoMA"}
  ]
}'

Via curl

curl -X POST -H "X-API-Key: $CAMINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "waypoints": [
      {"lat": 48.8584, "lon": 2.2945, "purpose": "Eiffel Tower"},
      {"lat": 48.8606, "lon": 2.3376, "purpose": "Louvre"}
    ],
    "constraints": {"transport": "foot", "time_budget": "4 hours"}
  }' \
  "https://api.getcamino.ai/journey"

Parameters

Field	Type	Required	Default	Description
waypoints	array	Yes	-	List of stops with lat, lon, and purpose (min 2)
constraints	object	No	-	Trip constraints
constraints.transport	string	No	"walking"	Transport mode: "walking", "car", or "bike"
constraints.time_budget	string	No	-	Time limit (e.g., "4 hours", "90 minutes")
constraints.preferences	array	No	[]	Route preferences

Waypoint Object

Field	Type	Required	Description
lat	float	Yes	Latitude of the stop
lon	float	Yes	Longitude of the stop
purpose	string	No	Description of the stop (e.g., "Eiffel Tower", "lunch break")

Response Format

{
  "feasible": true,
  "total_distance_km": 6.8,
  "total_time_minutes": 85,
  "total_time_formatted": "1 hour 25 minutes",
  "transport_mode": "foot",
  "route_segments": [
    {
      "from": "Eiffel Tower",
      "to": "Louvre Museum",
      "distance_km": 3.4,
      "duration_minutes": 42
    },
    {
      "from": "Louvre Museum",
      "to": "Notre-Dame",
      "distance_km": 3.4,
      "duration_minutes": 43
    }
  ],
  "analysis": {
    "summary": "This walking tour is feasible within your 4-hour time budget...",
    "optimization_opportunities": ["Consider starting at the Louvre to reduce backtracking"]
  }
}

Examples

Paris walking tour

./scripts/travel-planner.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 Cathedral"},
    {"lat": 48.8867, "lon": 2.3431, "purpose": "Sacre-Coeur"}
  ],
  "constraints": {
    "transport": "foot",
    "time_budget": "6 hours"
  }
}'

NYC cycling tour

./scripts/travel-planner.sh '{
  "waypoints": [
    {"lat": 40.7128, "lon": -74.0060, "purpose": "Start at Battery Park"},
    {"lat": 40.6892, "lon": -74.0445, "purpose": "Statue of Liberty viewpoint"},
    {"lat": 40.7061, "lon": -73.9969, "purpose": "Brooklyn Bridge"},
    {"lat": 40.7580, "lon": -73.9855, "purpose": "Times Square"}
  ],
  "constraints": {
    "transport": "bike",
    "time_budget": "3 hours"
  }
}'

Business meeting circuit

./scripts/travel-planner.sh '{
  "waypoints": [
    {"lat": 37.7749, "lon": -122.4194, "purpose": "Office downtown"},
    {"lat": 37.7849, "lon": -122.4094, "purpose": "Client meeting"},
    {"lat": 37.7900, "lon": -122.4000, "purpose": "Lunch"},
    {"lat": 37.7749, "lon": -122.4194, "purpose": "Return to office"}
  ],
  "constraints": {
    "transport": "car",
    "time_budget": "2 hours"
  }
}'

Best Practices

• Always include a purpose for each waypoint to get better route analysis
• Set a time_budget to get feasibility checks and optimization suggestions
• Use "foot" transport for city walking tours, "bike" for cycling tours, "car" for road trips
• Order waypoints in your preferred visiting sequence; the API will check feasibility
• Combine with the query skill to discover points of interest to add as waypoints
• Combine with the hotel-finder skill to find accommodation near your first or last waypoint
• Combine with the context skill to learn more about each waypoint's neighborhood
• For longer trips, break the itinerary into manageable day segments