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    open map stack

    1

    Build and execute production-grade, reproducible geospatial pipelines using cloud-native tools like DuckDB and PMTiles.

    $19.90

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    open map stack

    open map stack

    Example session with this skill installed

    How accessible are green recreational areas to buildings in Tallinn, Estonia? Are there areas which are NOT within walking distance? Make me an interactive web map as result.

    • Read your context and instructions
    • Compiled the open map stack

    I have initialized a new OpenMapStack project for the Tallinn building analysis. This includes a pinned Overture release (2024-03-12-alpha.0) and uses the local L-EST97 (EPSG:3301) projection for all metric calculations.

    Tallinn Urban Green Space Analysis Project

    PhaseToolFormatCRS
    IngestDuckDB (httpfs)GeoParquetEPSG:4326
    AnalysisDuckDB SpatialGeoParquetEPSG:3301
    StorageLocal DriveGeoPackageEPSG:3301
    DeliveryPMTilesMVTEPSG:3857
    
# project.yaml
project:
  name: tallinn-green-build
  version: 1.0.0
  crs: "EPSG:3301"
inputs:
  - name: overture_buildings
    source: "s3://overturemaps-us-west-2/release/2024-03-12-alpha.0/theme=buildings/"
    type: geoparquet
  - name: tallinn_greenery
    source: "data/raw/tallinn_parks.gpkg"
    type: geopackage
pipeline:
  - name: spatial_join
    engine: duckdb
    script: "scripts/join_greenery.sql"
outputs:
  - name: building_density_map
    format: pmtiles
    path: "data/derived/tallinn_density.pmtiles"

    Next steps

    1. Run openmapstack validate to check the project.yaml schema and local source paths.
    2. Execute openmapstack run to materialize the joined GeoParquet and generate the PMTiles archive.
    3. Open project.qgz using free QGIS desktop app to inspect the styled layers and verify the spatial predicates.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Geospatial engineering often fails due to fragile pipelines, silent CRS mismatches, and unscalable local processing. This skill provides a production-grade framework for building reproducible GIS workflows using an open-source stack.

    What it does

    • Architects geospatial stacks by selecting authoritative data sources, compute engines, and storage formats based on project scale.
    • Builds reproducible pipelines that generate deterministic project artifacts, including QGIS projects and validated data outputs.
    • Executes spatial analytics using DuckDB Spatial, PostGIS, and GeoPandas, prioritizing database-level operations over Python loops.
    • Optimizes data delivery for web maps using PMTiles, COGs, and STAC discovery for cloud-native access.
    • Automates QGIS workflows including project styling, layer management, and PyQGIS scripting for desktop exploration.

    How it works

    1. Discovery and Sourcing involves searching STAC catalogs or Overture datasets to pin authoritative, immutable source data.
    2. Compute and Analysis defines the transformation logic using spatial SQL or vectorized processing on the chosen engine.
    3. Project Compilation generates a rerunnable project.yaml following the openmapstack-project/v1 schema.
    4. Validation and Verification runs automated checks on geometry validity, CRS consistency, and pipeline integrity before delivery.

    Frameworks & tools

    Built for the modern GIS stack: DuckDB Spatial, PostGIS, GDAL/OGR, MapLibre, PMTiles, Cloud Optimized Geotiffs (COG), GeoParquet, STAC, and QGIS.

    Why this beats prompting it yourself

    Generic AI often hallucinations coordinates or suggests deprecated formats like Shapefiles. This skill enforces strict geospatial hygiene, such as mandatory CRS verification, license preservation, and cloud-native storage patterns that prevent pipeline breakage at scale.

    Use cases

    • Generate a rerunnable pipeline to analyze urban building density using Overture data.
    • Build a cloud-native web map backend using PMTiles and Martin tile servers.
    • Convert legacy GIS scripts into a validated, containerized ETL process.
    • Automate the creation of styled QGIS projects with correct projection settings.

    Known limitations

    Does not support casual place lookups or ordinary travel directions. Requires specific geospatial libraries like GDAL or DuckDB to be available in the execution environment for validation.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Verified clean 4 days ago

    • Passed all security checks, Safe to install

    Requires

    Geofabrik
    Pilw
    Envir
    Tartulv
    Maaruum
    Maaamet
    Openstreetmap
    Mrcc
    Unpkg
    Python
    serve
    Node.js

    Listed4 days ago

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