| 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.
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.