Eighteen measured Agent Skills for the full GeoAI lifecycle, with explicit safeguards for CRS, spatial leakage, uncertainty, provenance, and silent geospatial failure modes.
Install
- 1Add it in ChatGPT
Open Plugins in the ChatGPT sidebar (web or desktop), search for “GeoAI Skills” and select +. You'll be asked to sign in to any connected service on first use. Then type @ in a chat to call it.
Skills 15
- ArcGIS Pro Automation
Automate guarded ArcGIS Pro and ArcPy work
- Cartography and Geovisualization
Design clear, accessible geospatial maps
- Change Detection
Detect and verify geospatial change
- Geospatial Data Engineering
Build reliable geospatial data pipelines
- Geospatial Deep Learning
Train and validate geospatial neural models
- GeoAI Orchestrator
Route complex GeoAI workflows safely
- Geostatistics and Interpolation
Interpolate spatial surfaces with uncertainty
- Google Earth Engine
Build scalable Earth Engine workflows
- MCDA Suitability Analysis
Build transparent spatial suitability models
- ML Experiment Standards
Design honest, reproducible ML experiments
- Movement and Trajectory Analytics
Analyze observed movement and GPS tracks
- Network Accessibility Analysis
Analyze routing, service areas, and access
- Point Clouds and LiDAR
Process LiDAR and 3D point cloud data
- PostGIS and Spatial SQL
Design and optimize spatial SQL workflows
- Remote Sensing Analysis
Prepare and analyze Earth observation imagery
Things to ask
- “Design a leakage-safe GeoAI workflow for my geospatial project.”
- “Audit this spatial analysis for CRS, leakage, and uncertainty failures.”
- “Plan a defensible remote-sensing change-detection workflow.”