Add core architecture patterns and GIS/weather components from AIOS-Public

collab/prompts/gis-weather-prompt.md

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+# GIS and Weather Data Processing - AI Prompt Template
+
+## Purpose
+This prompt template is designed to guide AI agents in implementing GIS and weather data processing containers following established patterns.
+
+## Instructions for AI Agent
+
+When implementing GIS and weather data processing containers:
+
+1. Follow the established container architecture pattern (base -> specialized layers)
+2. Maintain consistent naming convention: RCEO-AIOS-Public-Tools-[domain]-[type]
+3. Implement non-root user with UID/GID mapping
+4. Create appropriate Dockerfiles and docker-compose configurations
+5. Include proper documentation and README files
+6. Add wrapper scripts for environment management
+7. Test with sample data to verify functionality
+8. Follow same security and operational patterns as existing containers
+
+## Technical Requirements
+
+- Use Debian Bookworm slim as base OS
+- Include appropriate GIS libraries (GDAL, GEOS, PROJ, etc.)
+- Include weather data processing libraries (xarray, netCDF4, etc.)
+- Implement Jupyter notebook support where appropriate
+- Include R and Python stacks as needed
+- Add visualization tools (Folium, Plotly, etc.)
+
+## Quality Standards
+
+- Ensure containers build without errors
+- Verify file permissions work across environments
+- Test with sample datasets
+- Document usage clearly
+- Follow security best practices
+- Maintain consistent user experience with existing containers