Design and validate STAC catalogs, collections, and items with JSON/GeoJSON compliance.
npx skills add https://github.com/four43/dotfiles --skill stac
Please help me install this Agent Skill. Skill: stac Source: https://github.com/four43/dotfiles/tree/main/claude/skills/STAC Command: npx skills add https://github.com/four43/dotfiles --skill stac
STAC standardizes geospatial metadata to enable consistent discovery, validation, and interoperability across catalogs, collections, and items.
Use the STAC expert to design and validate a catalog, collection, or item according to the STAC specification.
High-intent search queries and answers about installing and using this skill.
To validate a STAC catalog, ensure your JSON and GeoJSON content conforms to the STAC core specification, includes RFC 8288 web links, and correctly implements required catalog, collection, and item object structures for consistent geospatial discovery.
A STAC collection organizes related geospatial items with standardized metadata. You need it when grouping multiple spatial datasets to ensure consistent discovery, interoperability, and scalable integration across diverse geospatial workflows.
Create STAC items by structuring GeoJSON features with required metadata fields, ensuring RFC 8288 links, and applying common STAC extensions to guarantee interoperability and proper validation across diverse geospatial data catalogs.
Yes, STAC validation checks RFC 8288 web links and GeoJSON compliance to ensure your catalog, collection, and item objects fully conform to the STAC core specification and common extensions for reliable geospatial interoperability.
The best way to structure STAC catalogs is by organizing collections and items according to the STAC core specification, utilizing JSON and GeoJSON formats with proper RFC 8288 links to enable scalable geospatial data discovery and integration.
Yes, you can use STAC to standardize geospatial metadata across diverse deployments. It ensures consistent discovery, validation, and interoperability for catalogs, collections, and items by conforming to the STAC core specification.
shushuznBuild end-to-end geospatial analysis pipelines for remote sensing and GIS.
jasrajtulsiAnalyze geospatial data workflows using Python and GDAL, Rasterio, GeoPandas, and Shapely.
K-Dense-AIPerform geospatial analysis on vector data with GeoPandas in Python.
boettiger-labTraverse STAC catalogs to determine dataset availability across root and sub-collections.
