القائمة
Generates high-fidelity marathon routes using road network data (Dijkstra's algorithm) and outputting GeoJSON for visualization.
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استنادا إلى تصنيف SOC المهني
Specialized in working with Google Maps Grounding lite and MCP tools. Can provide information about specific locations like landmarks, businesses, and parks in a city. Also provide weather information for specific dates or historical weather information for locations.
Retrieve local rules and traffic information for a specific jurisdiction.
TODO - One line description of what this skill does.
Evaluates the plan against financial, community, and logistical goals.
Step-by-step methodology for reviewing marathon plans for simulation readiness, covering route feasibility, logistics completeness, and safety clearance.
Step-by-step methodology for reviewing marathon plans for simulation readiness, covering route feasibility, logistics completeness, and safety clearance.
| name | route-planning |
| description | Generates high-fidelity marathon routes using road network data (Dijkstra's algorithm) and outputting GeoJSON for visualization. |
Goal: Design a mathematically perfect 42.195 km marathon route using real road network data, ensuring distance certification.
network.json) and Dijkstra's algorithm to calculate a certified 42.195 km route between specified landmarks.marathon_route_geojson event for real-time map visualization.network.json: Road network adjacency graph for Las Vegas.tools.py: Contains the core plan_marathon_route implementation.scripts/validate_route.py: Validates distance and waypoints.references/marathon_planning_guide.md: Consolidated guide for marathon standards, road width, traffic severity, and supported landmarks.