skill · Global

geosql

A Claude/Codex skill for geospatial data

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Data offered docs-verified: Spatial SQL generation and execution against PostGIS, BigQuery, Snowflake and Wherobots · Overture Maps shares on BigQuery and Snowflake · Warehouse table/column discovery · Map rendering of query results via optional Dekart CLI
Coverage llm-inferred: Global (per ENTRY regions; actual data coverage depends on the connected warehouse)
Access docs-verified: Free and open, MIT licence (per ENTRY). No SaaS account needed; runs locally or self-hosted. Warehouse access uses local CLI authentication (bq, snow, dekart); the optional Dekart CLI is installed on request.

Use cases llm-inferred: Screening private warehouse layers for proximity to road or utility networks (e.g. features within 5 km of a motorway) for constraint mapping · Sanity-checking polygon area and line length of GIS query outputs before using them in a report · Joining site or asset points to Overture Maps building or road layers for baseline context · Rendering spatial query results as a map for client or peer review
Audience llm-inferred: data scientists · analysts · GIS analysts · spatial data engineers

Constraints llm-inferred: Requires access to a supported warehouse (PostGIS, BigQuery, Snowflake or Wherobots) and its local CLI credentials · BigQuery queries are capped at a 10 GiB scan by default · Benchmark suite covers only London, Berlin and Paris cases (8 assertions) · Map-feedback loop needs the optional Dekart CLI · ENTRY notes no credentials documented in README, while the docs rely on local bq/snow/dekart auth · Not UK-specific; no UK datasets are named in the docs · Version check telemetry is on by default (disable with DO_NOT_TRACK=1)

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: github-search