Create and query geospatial databases with SQLite R*Tree indexing.
npx skills add https://github.com/shinyorg/skills --skill shiny-spatial
Please help me install this Agent Skill. Skill: shiny-spatial Source: https://github.com/shinyorg/skills/tree/main/skills/shiny-spatial Command: npx skills add https://github.com/shinyorg/skills --skill shiny-spatial
This Skill simplifies the creation and querying of geospatial databases, enabling developers to build location-aware applications efficiently without complex external dependencies.
Use the shiny-spatial skill to create a new spatial database table named 'locations' with WGS84 coordinates and a 'name' property of type Text.
High-intent search queries and answers about installing and using this skill.
Shiny.Spatial enables spatial database creation by combining SQLite R*Tree indexing with custom C# geometry algorithms, allowing .NET applications to store and query location data efficiently without external dependencies.
You can implement geofencing by creating spatial database tables with Shiny.Spatial to monitor user locations and trigger notifications when users enter or exit predefined geographical regions like store boundaries or service areas.
Yes, spatial queries including intersection, containment, and distance calculations are supported for various geometry types like Point and Polygon through custom C# geometry algorithms integrated with SQLite spatial indexing.
Yes, Shiny.Spatial supports AOT-compatible and trimmable .NET applications, enabling you to build location-aware features and perform spatial analysis without compromising application performance or deployment size.
You create a spatial database table with WGS84 coordinates using Shiny.Spatial, specifying coordinate properties alongside additional attributes like text fields to structure your location data for spatial queries and geofencing.
SQLite R*Tree spatial database operations in Shiny.Spatial rely on custom C# geometry algorithms, which may require additional implementation for advanced spatial analysis beyond standard intersection, containment, and distance queries.
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