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Plan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints. Use when you need to plan trips with multiple stops or check if an itinerary is achievable.

Installable skillMITBy kbarbel640-delUpdated Oct 31, 2026
INTENDED FOROpenClawInstall in a listed agent.

instructions.md

---
name: journey-a3ff8de488ec
description: "Plan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints. Use when you need to plan trips with multiple stops or check if an itinerary is achievable."
metadata: {"clawdbot":{"emoji":"🗺️","requires":{"env":["CAMINO_API_KEY"]},"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.

```bash
# 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:**
```bash
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

**Instant Trial (no signup required):** Get a temporary API key with 25 calls:

```bash
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](https://app.getcamino.ai/skills/activate).

**Add your key to Claude Code:**

Add to your `~/.claude/settings.json`:

```json
{
  "env": {
    "CAMINO_API_KEY": "your-api-key-here"
  }
}
```

Restart Claude Code.

## Usage

### Via Shell Script

```bash
# 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

```bash
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

```json
{
  "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
```bash
./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
```bash
./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
```bash
./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

Discuss this resource

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.