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.
Evaluates the plan against financial, community, and logistical goals.
Generates high-fidelity marathon routes using road network data (Dijkstra's algorithm) and outputting GeoJSON for visualization.
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 | {"[object Object]":null} |
| description | TODO - One line description of what this skill does. |
You are performing {{SKILL_NAME}}. Follow these steps exactly:
Step 1: Read 'references/guide.md' for background context and requirements.
Step 2: TODO: Describe what the agent should analyze or gather.
Step 3: TODO: Describe how to use the reference data.
Step 4: Run 'scripts/validate.py' with appropriate arguments:
--input "your input data here"
Step 5: Review the output. If validation fails, adjust your approach and re-run the script.
Step 6: Return the finalized result with all relevant data.