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openmapstack-skills

AI-agent skill for reproducible, validated GIS analysis — from authoritative data discovery to interactive maps, on an open-first geospatial stack (OSM, Overture, STAC, DuckDB, PostGIS, QGIS, MapLibre).

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What's in it

Data offered docs-verified
geospatial data discovery guidance · spatial SQL write/review/optimise guidance · reproducible GIS project workflow (project.yaml, pipeline.py, validation) · interactive map and dashboard delivery
Coverage llm-inferred
Global
Formats docs-verified
GeoParquet · COG · PMTiles · MVT · YAML (project.yaml) · Python (pipeline.py) · HTML (dashboard.html)
Access docs-verified
Free and open source, MIT licence (per ENTRY); no warehouse credentials or Observable account needed to build the example site

Useful for

Use cases llm-inferred
Reproducible FRA or drainage analysis packaged as a project.yaml and pipeline.py so a reviewer can rerun it · Discovering and assessing open geospatial datasets for a site constraints screen · Reviewing PostGIS or DuckDB spatial queries for catchment or constraint overlays · Building an interactive map dashboard to share options with a client or planner
Audience llm-inferred
GIS analysts · hydrologists · drainage engineers · flood consultants · planners · ecologists

Limitations

Constraints llm-inferred
Guidance skill, not a data source: output quality depends on the agent and on the data it finds · Docs show no UK-specific sources; examples are NYC and Tartu · Building the Pages site needs Python project dependencies, Node 20+ and npm · Install needs git, nodejs and npx already present · Existing v1 manifests with a map must declare presentation.map.basemap.kind · Default basemap fallback relies on goplex.ee Protomaps tiles · Docs text is truncated at the end, so some content may be missing
Licence
MIT
Authentication
No credentials documented in README
GitHub stars
75
Last commit
14/10/2026
Last successful page check
14/10/2026
Page health
healthy
Package
npm:skills
Verification
Not independently verified

Provenance & evidence

Geospatial deep dive (Glama/Smithery/GitHub). Tools/install/auth auto-extracted from README.

Metadata observed 15/10/2026 · research sweep: geo-deep-dive (geo-deep-dive:github-search-geo)