AI Agent Skills

RenoDX workflow for generating HDR/SDR test patterns, synthetic charts, ramps, gradients, hue sweeps, color bars, checkerboards, banding panels, gamut stress images, BT.…

Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segment…

A medical imaging framework for Pytorch

Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and fede…

A platform for end-to-end development of machine learning solutions in biomedical imaging

MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.

The hottest High Dynamic Range (HDR) Library

Creating HDR image from image stack with multiple exposures

Medical imaging processing for AI applications.

Use this skill when working with Brain Imaging Data Structure (BIDS) datasets: organizing neuroscience and biomedical data (MRI, EEG, MEG, iEEG, PET, microscopy, NIRS, m…

RenoDX workflow for generating, validating, or debugging BT.2020/BT.2100 HDR PNG artifacts from EXR, linear RGB, nits arrays, scalar maps, or analysis images. Use when c…

RenoDX DevKit workflow for tracing swapchain/output passes, SwapChainPass, RGBA8U/UNORM limits, RGBA16F proxy resources, gamma-space float pipelines, HDR10-preferred SDR…

RenoDX pull request code review checklist for HDR/SDR matching, neutral defaults, tonemap/LUT shaders, SDR LUT clipping/domain mistakes, renodx::lut tooling, SwapChainPa…

RenoDX HLSL/Slang shader workflow for proven shader-side SDR tonemap, hard clip, LUT, color grade, and HDR bridge changes. Use when editing game shaders for neutral-by-d…

Migrate WPF applications to WinUI 3 — namespace replacement (System.Windows → Microsoft.UI.Xaml), control mapping (DataGrid→ListView, WrapPanel→ItemsRepeater, TabControl…

📖[IEEE Sensors Journal (JSEN) ] SuperVINS: A Real-Time Visual-Inertial SLAM Framework for Challenging Imaging Conditions (integrated deep learning features)