Geosql: A Claude/Codex skill for geospatial data (github.com)

GeoSQL has been launched as a powerful new skill for AI models like Claude and Codex, specifically tailored for data scientists and analysts working with geospatial data across platforms such as PostGIS, BigQuery, and Snowflake. Notably, it operates fully locally or can be self-hosted, eliminating the need for SaaS accounts. The skill promises a remarkable fourfold improvement in handling geospatial tasks through what is described as a "map-in-the-loop" approach, effectively allowing users to generate and visualize geospatial queries and insights more accurately. Significantly, GeoSQL utilizes a unique agent loop mechanism that not only writes spatial SQL using the appropriate functions for various database engines but also incorporates geometry validation and cost checks. This validation addresses common issues seen in geospatial data tasks, such as misinterpreting geometry and optimizing query costs on BigQuery. Furthermore, the integration of Dekart, an open-source visualization backend, enables real-time rendering of results, allowing the agent to correct errors that might be overlooked in traditional text-only validations. This innovative skill aims to streamline geospatial data analysis, making it a valuable asset for professionals in the AI and ML sectors.