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GeoAI-master-skills

Agent skills for autonomous geospatial data analysis

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What's in it

Data offered docs-verified
spatial autocorrelation · clustering and dimensionality reduction · anomaly detection · point pattern analysis · spatial process modelling · spatial network (travel-time) analysis · raster cost distance and land-cover cost surfaces · spatial accessibility analysis (2SFCA) · spatial optimisation · areal interpolation · causal design and estimation · spatial interpolation · spatiotemporal and time-series forecasting
Formats docs-verified
Markdown (SKILL.md) · Python scripts
Access docs-verified
Local use with uv (Python); no authentication required per ENTRY; licence not stated in ENTRY or DOCS

Useful for

Use cases llm-inferred
Spatial-weights sensitivity check before Moran's I on catchment or site-level data · Accessibility gap analysis (2SFCA) for service or facility provision across a study area · Raster cost-distance from land-cover classes for access corridors or travel-cost surfaces · Areal interpolation to move census or gridded values onto catchment or planning zones
Audience llm-inferred
GIS analysts · spatial data scientists · environmental consultants with Python skills · planners doing spatial analysis

Limitations

Constraints docs-verified
Not reproducible through QGIS GUI; analysis is written in Python (and SQL) · Satellite and aerial imagery analysis is out of scope (classification, segmentation, object detection, change detection) · Some methods are not yet covered (e.g. MCMC, spatial lag/error models, spatiotemporal kriging, Gaussian processes, Hawkes processes) · Agent evaluation covers only some skills so far · Documentation is in Japanese · No UK-specific datasets or data sources are identified in ENTRY or DOCS
Licence
Unknown — check provider terms
Authentication
Unknown — review source docs
GitHub stars
0
Last commit
16/10/2026
Last successful page check
14/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

Auto-extracted, unverified fields: tools, auth. Check upstream documentation.

Provenance & evidence

Daily discovery 2026-10-16: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-16 (github-search)