geosql

Execute geospatial SQL queries and render results on interactive maps.

587|48|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/dekart-xyz/geosql --skill geosql
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geosql
Source: https://github.com/dekart-xyz/geosql/tree/main/skills/geosql
Command: npx skills add https://github.com/dekart-xyz/geosql --skill geosql

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires dekart, bq, snow, wherobots, postgis, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of analyzing and visualizing geospatial data, enabling users to quickly explore and interpret spatial information.

Core Features & Use Cases

  • Geospatial SQL Execution: Run spatial SQL queries against various databases (BigQuery, Snowflake, Wherobots, PostGIS).
  • Map Rendering: Render query results on an interactive map for better visualization.
  • Use Case: For instance, users can query the location of EV charging stations and visualize their distribution on a map.

Quick Start

Use the geosql skill to show EV charger density along major roads and render a map.

Frequently Asked Questions about geosql

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I visualize geospatial SQL query results on an interactive map?

You can visualize geospatial SQL query results on an interactive map by executing spatial queries against supported databases like BigQuery, Snowflake, Wherobots, or PostGIS, which then automatically render the geographic data points onto a map interface.

Can I run spatial analysis queries using BigQuery or Snowflake?

Yes, you can run spatial analysis queries using BigQuery and Snowflake. The tool supports geospatial SQL execution across BigQuery, Snowflake, Wherobots, and PostGIS to help you analyze spatial information efficiently.

What is the best way to analyze and visualize EV charging station density?

The best way to analyze EV charging station density is to run geospatial SQL queries against your spatial database to locate the chargers, then render those query results directly onto an interactive map for visual distribution analysis.

Does this spatial analysis approach work with PostGIS databases?

Yes, this spatial analysis approach works with PostGIS databases. It executes geospatial SQL queries directly against PostGIS, alongside BigQuery, Snowflake, and Wherobots, to render interactive map visualizations.

How do I map spatial data from my data warehouse without exporting it?

You can map spatial data directly from your data warehouse by executing geospatial SQL queries in-place against platforms like BigQuery and Snowflake, immediately rendering the returned spatial analysis results onto an interactive map.

Why use geospatial SQL for spatial analysis instead of standard data visualization?

Geospatial SQL for spatial analysis allows you to run location-based queries directly against databases like Wherobots and PostGIS, providing map rendering capabilities that standard data visualization lacks for interpreting geographic distributions.