Design end-to-end geospatial workflows with an open-first toolchain.
npx skills add https://github.com/jaakla/open-gis --skill open-gis
Please help me install this Agent Skill. Skill: open-gis Source: https://github.com/jaakla/open-gis/tree/main Command: npx skills add https://github.com/jaakla/open-gis --skill open-gis
Open GIS workflows are often fragmented across tools, data formats, and platforms. This skill provides a production-grade, open-first stack that helps teams design, validate, and deploy end-to-end geospatial pipelines, with strong provenance, licensing hygiene, and reproducibility baked in.
Describe your geospatial objective and the skill will outline a production-grade open-stack workflow to achieve it.
High-intent search queries and answers about installing and using this skill.
To build a production-grade geospatial pipeline, use an open-first toolchain spanning data discovery (STAC, Overture), processing (GDAL, DuckDB, PostGIS), and delivery (PMTiles, MVT). This approach enforces reproducibility, license attribution, and strict CRS conventions.
The best way to manage open geospatial data is by using STAC for discovery and GeoParquet or COG for storage. This ensures pinned dataset versions and strict format decisions, enabling cloud-native workflows with strong data provenance.
Yes, you can use DuckDB and GeoPandas together for geospatial processing. They integrate within an open-first stack to handle data transformation, sitting between discovery layers like OSM and delivery formats like PMTiles or MVT.
To serve PMTiles and MVT, use delivery components like TiTiler and Martin within your GIS workflow. This cloud-native delivery mechanism follows processing stages and enforces reproducible, version-pinned data outputs.
Yes, the open GIS workflow approach includes Estonia-specific guidance for geospatial pipelines. This ensures regional data integration aligns with strict CRS, format conventions, and open-data principles for local deployments.
You need to pin dataset versions and enforce license attribution to maintain reproducibility in GIS workflows. This production-grade practice prevents data drift and ensures compliance when delivering tiles or vector formats.
nq-rdlEnable DuckDB spatial extension to analyze Overture Maps geospatial data.
maplibrePackage vector and raster tiles into a single PMTiles file for MapLibre.
cwinkelmannStandardize CRS handling and coordinate transformations for geospatial data workflows.
galeepProcess geospatial data with remote sensing, GIS, and machine learning.
