Geosql: A Claude/Codex skill for geospatial data
This covers a coding tool or code-capability update — useful for developers assessing workflow changes and reusable value.
GeoSQL is a new skill for data scientists and analysts, enhancing Claude, Codex, and GitHub Copilot for geospatial data tasks on various platforms like PostGIS and BigQuery.…
Claude, Codex, and GitHub Copilot skill for data scientists and analysts working with geospatial data on PostGIS, BigQuery, Snowflake, and Wherobots.
Note: No SaaS account needed. Works 100% locally or self-hosted.
4x improvement on geospatial tasks with map in the loop.
Quick Start
With Python (interactive mode):
pip install geosql && geosql
Install directly into a supported agent:
geosql install claude geosql install codex geosql install copilot
Or in Claude Code:
/plugin marketplace add dekart-xyz/geosql /plugin install geosql
After geosql install copilot, use GeoSQL from VS Code Copilot or Copilot CLI with prompts such as:
/geosql Show EV charger density along major roads and render a map
Install Dekart for map rendering and PostGIS support
GeoSQL optionally uses Dekart : an open-source Kepler.gl backend with connectors for PostGIS, BigQuery, and Snowflake. You can run Dekart locally with one docker command, self-host it on your own infrastructure, or use Dekart Cloud.
Run Dekart locally (skip this step to use Dekart Cloud ):
docker run -p 8080:8080 dekartxyz/dekart
Install the Dekart CLI:
pip install dekart && dekart init
Follow CLI and dekart prompts to connect your PostGIS, BigQuery, Snowflake or Wherobots database.
Example prompts to try in your agent:
Real estate analysis:
/geosql Show buildings with low school accessibility in Ottawa, render as a map
Site selection:
/geosql Find the top 10 locations for Sporting Goods Store in Seattle based on POI co-location and distance to the nearest competitor. Create a map.