Skill UI

Creates design philosophies and companion .pdf/.png artworks when asked for posters or static art, emphasizing spatial storytelling, minimal text, and meticulously crafted visual execution.

A comprehensive guide covering the core principles of immersive game audio. Learn how to structure audio categories (SFX, Music, Ambient), implement adaptive music systems, master 3D spatialization, and apply professional mixing techniques (e.g., ducking, hierarchy) to elevate the emotional impact and technical quality of your game's soundscape. Essential for sound designers and game developers.

A comprehensive guide for designing cross-device applications across the Apple ecosystem. This skill helps developers adhere to the specific Human Interface Guidelines (HIG) for various platforms—including iOS, macOS, watchOS, tvOS, and visionOS. It emphasizes adapting design principles (e.g., touch-first vs. pointer-based vs. spatial) while maintaining brand consistency, ensuring a native and optimal user experience regardless of the operating system.

This comprehensive guide outlines the core principles for developing immersive Virtual and Augmented Reality (VR/AR) applications. It covers critical aspects such as platform selection (Quest, ARKit, ARCore), mandatory performance metrics (FPS, frame budget), user comfort techniques (motion sickness prevention), and best practices for spatial interaction and world design. Essential reading for engineers building next-generation spatial computing experiences.

GeoPandas extends pandas for geospatial vector data, enabling reading/writing shapefiles, GeoJSON, GeoPackage and PostGIS, performing CRS management, spatial joins, overlays, buffering, area/distance calculations, and producing static or interactive choropleth maps.

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.

Probabilistic deep-learning framework built on PyTorch for single-cell omics; handles batch correction, integration, multimodal and spatial data, differential expression, and transfer learning with unified APIs.

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.

A specialist in building highly interactive, spatial, and weightless web interfaces using advanced techniques like GSAP, 3D CSS transforms, and React. This skill excels in implementing modern visual trends such as glassmorphism and isometric grids, providing a premium, immersive feel for sophisticated dashboards and landing pages.

Accelerates CPU-bound Python workflows by translating NumPy, pandas, ML, graph, image, simulation, and IO code into NVIDIA GPU kernels using CuPy, Numba CUDA, Warp, cuDF/cuML/cuGraph, KvikIO, cuSpatial, and RAFT for dramatic speedups.

Provides programmatic access to massive, versioned public single-cell and spatial transcriptomics datasets from CZ CELLxGENE. This skill allows users to efficiently query specific subsets of cell metadata, gene expression matrices, embeddings, and summary statistics across various organisms, tissues, and diseases. It is ideal for large-scale, memory-efficient biological research and model training without full dataset downloads.

A comprehensive toolkit for advanced geospatial analysis. It covers remote sensing (Sentinel, Landsat), GIS operations (vector/raster/point cloud), spatial statistics, and Machine Learning for Earth Observation. Supports cloud-native workflows, multiple data types, and 8 programming languages, making it ideal for complex scientific research and commercial spatial projects.