journey
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.
Why use this skill?
Plan complex, multi-waypoint journeys with OpenClaw. Utilize route optimization, travel feasibility analysis, and strict time budget constraints.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/barneyjm/journeyWhat This Skill Does
The journey skill is a powerful location intelligence tool designed for the OpenClaw agent to plan complex, multi-stop itineraries. It goes beyond simple point-to-point routing by providing route optimization, feasibility analysis, and strict adherence to time constraints. Whether you are orchestrating a business trip with multiple meetings or a tourist planning a day of sightseeing, the journey skill calculates the most efficient order of operations. It considers transport modes like walking, driving, or biking, ensuring that your requested schedule is realistically achievable within a specified time budget.
Installation
You can install this skill easily via the command line. To get the full suite of location intelligence tools, run:
npx clawhub@latest install journey
After installation, remember to sign up for a free API key at https://app.getcamino.ai/skills/activate and add the key to your ~/.claude/settings.json under the CAMINO_API_KEY environment variable to enable full functionality.
Use Cases
- Logistics & Delivery: Optimizing a series of stops for a courier to ensure all packages are delivered within a specific shift time.
- Travel Planning: Creating a day-trip itinerary in a new city, ensuring you visit all desired landmarks while respecting your schedule constraints.
- Commute Planning: Evaluating whether a series of errands (e.g., school pickup, grocery store, gym) is feasible given current traffic conditions and transport modes.
- Event Coordination: Planning the movement of people between multiple event venues, verifying that travel times fit within the allotted transition windows.
Example Prompts
- "Plan a walking route for me in downtown Chicago today. I need to visit the Art Institute, Millennium Park, and the Navy Pier. I only have 4 hours total, so optimize the order."
- "Can I realistically drive to these three addresses in Los Angeles during rush hour and be back by 6 PM? Here are the coordinates: [List coordinates]."
- "Create a bike route that hits these four locations in Berlin. Give me the most efficient path and tell me if I can complete it in under 2 hours."
Tips & Limitations
- Precision Matters: Always provide specific latitude and longitude coordinates for the best results, as descriptive addresses can occasionally lead to ambiguous routing.
- Transport Context: The choice of transport mode significantly affects the feasibility analysis; ensure you specify if you are walking vs. driving to get accurate time estimates.
- Time Sensitivity: The skill performs best when given a clear 'time_budget'. Without it, the system will optimize for distance rather than temporal efficiency.
- API Limits: Be mindful of your monthly quota. While the trial provides 25 calls, monitor your usage if planning complex, recurring routes.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-barneyjm-journey": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api, network-access
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