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geoai-skills
Geospatial AI skills for coding agents: CRS and measurements, PyQGIS for QGIS 4, Sentinel-2 indices, open imagery and map data, geoprocessing, object detection prep, map QA.
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What's in it
- Data offered llm-inferred
- Guidance on finding, downloading, converting and citing OpenStreetMap, Overture and national data (no data is served by the package)
- Coverage llm-inferred
- Global
- Formats docs-verified
- Python 3.9+ scripts
- Access docs-verified
- Free, MIT licence; no account, server or plugin needed
Useful for
- Use cases llm-inferred
- Checking CRS and measurement choices before area or length calculations on UK survey data · Sentinel-2 index and change-detection steps for habitat or land-cover baselines · Buffer, overlay and zonal statistics for flood or site-suitability screening · PostGIS or DuckDB spatial queries on drainage or asset datasets
- Audience llm-inferred
- GIS analysts · ecologists · hydrologists · drainage engineers · planners
Limitations
- Constraints docs-verified
- Tested on QGIS 3.44, GDAL and DuckDB only; PyQGIS for QGIS 4 is not stated as tested · Not specific to UK data sources; national coverage depends on the agent's own knowledge · Guidance for coding agents, not a standalone data service or tool server
- Licence
- MIT
- Authentication
- Unknown — review source docs
- GitHub stars
- 0
- Last commit
- 11/10/2026
- Last successful page check
- 14/10/2026
- Page health
- healthy
- Package
- npm:skills
- Verification
- Not independently verified
Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.
Provenance & evidence
Daily discovery 2026-10-15: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.
Metadata observed 14/10/2026 · daily-2026-10-15 (github-search)