Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
- Added "curl" and "jq" as required binaries in skill metadata. - No other content changes.
What This Skill Does
Fetches point-to-point routing data via the Camino AI API, returning distance, travel time, and optional turn-by-turn directions. Supports car, bike, and foot travel modes. Route geometry and street-level imagery can be included for mapping use cases.
Returns structured routing data with geometry support directly in the agent context, avoiding manual lookups in a separate mapping app.
When to use it
- Estimating drive time before a client meeting
- Getting walking directions between two addresses
- Comparing bike vs car commute times for a new apartment
- Generating route data to draw on an interactive map
- Planning a delivery route with turn-by-turn steps
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: How long does it take to bike from Central Park to Brooklyn Bridge, and can you show me the route?
- 1Resolve start and end coordinates for Central Park and Brooklyn Bridge
- 2Call the Camino route API with mode set to bike and include_geometry true
- 3Parse distance_km and duration_minutes from the response
- 4Extract route geometry for map rendering
- 5Return travel time summary and geometry data to the user
Bike route found: 8.3 km, approximately 34 minutes. Route geometry returned for map display.
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.