By isaaccorley
Inspect, validate, optimize, and distribute GeoParquet files using gpio CLI for best practices and DuckDB for advanced SQL transforms on geospatial data.
A collection of separately installable geospatial SKILL.md packages.
geoparquet-validation: gpio-focused GeoParquet validation and distribution workflowsgdal: GDAL command line workflows for raster and vector datatessera: Tessera embedding downloads with the geotessera CLIskills/
geoparquet-validation/
SKILL.md
references/
gdal/
SKILL.md
references/
tessera/
SKILL.md
references/
docs/
...
uv sync --group dev
uv run mkdocs serve
Build:
uv run mkdocs build
Copy a skill directory into your local skills/plugins folder, for example:
cp -R skills/geoparquet-validation ~/.agent/skills/geoparquet-validation
See the docs site for tool-specific install paths.
Contributor workflow, CI, and docs deploy notes live in .github/CONTRIBUTING.md.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Sign in to claimThis skill should be used when working with GDAL command line tools for raster and vector geospatial processing. Covers inspection, reprojection, clipping, raster conversion, mosaics, tiling, rasterization, and COG creation.
Use when working with TESSERA satellite embeddings — downloading via CLI, sampling via the Python or R library, choosing between point-based and mosaic approaches, or exporting to GeoTIFF/NPY/Zarr.
This skill should be used when viewing, previewing, or inspecting geospatial files from the command line. Covers interactive raster viewing (viewtif), interactive vector viewing (viewgeom), and non-interactive terminal-inline viewing (viewinline) for GeoTIFF, Shapefile, GeoJSON, GeoPackage, GeoParquet, CSV, HDF, NetCDF, and more.
npx claudepluginhub isaaccorley/geospatial-skills --plugin geoparquet-validationThis skill should be used when working with GDAL command line tools for raster and vector geospatial processing. Covers inspection, reprojection, clipping, raster conversion, mosaics, tiling, rasterization, and COG creation.
DataFusion-powered skills for Claude Code: query data with SQL, read Parquet/CSV/JSON/Arrow files, search DataFusion docs, create external tables, build materialized views, and visualize query plans.
DuckDB-powered skills for Claude Code: read any data file, attach and query DuckDB databases, search DuckDB/DuckLake docs, search past session logs, and install/update DuckDB extensions.
Geospatial SQL skill for BigQuery and Snowflake. Discovers Overture Maps and warehouse schemas, writes cost-safe SQL with mandatory dry-run, validates results, and optionally renders an interactive map.
MCP server for Apache Parquet files
Data engineering and ETL tools. Includes 3 specialized agents, 4 commands, and 19 skills.