Skill UI

Outlines a Vast.ai reference architecture that combines instance selection, training job automation, Docker image prep, data transfer handling, and runtime error patterns so teams can standardize GPU ML pipelines.

PathML is a Python toolkit for computational pathology workflows, loading 160+ slide formats, preprocessing H&E images, constructing spatial graphs, training HoVer-Net/HACTNet models, and analyzing multiplex imaging for ML-ready pathology data.

GeoMaster is a comprehensive geospatial science skill that guides remote sensing, GIS, spatial analysis, and machine learning workflows for Earth observation and planetary data projects, covering satellite imagery, vector/raster math, point clouds, terrain, hydrology, and cloud-native data stacks.

Transforms raw input into intelligent visualizations by selecting from 26 chart types, extracting required parameters from reference specs, and running a Node.js generator to return the final chart image URL and payload.