Windows ML (WinML, Microsoft.Windows.AI.MachineLearning) guidance in three evidence tiers. Tier 1 is canonical Microsoft Learn documentation. Tier 2 is ONNX Runtime / ONNX Runtime GenAI source and NuGet package facts. Tier 3 is Trackdub's own dated observations. Covers model setup, all Windows ML execution providers (CPU, DirectML, OpenVINO, QNN, VitisAI, MIGraphX, NvTensorRtRtx, experimental WebGPU), deployment, ExecutionProviderCatalog install and registration, OrtEpDevice selection, EP-context compilation and caching, ONNX Runtime GenAI on Windows ML, and diagnostics. Use whenever work touches Windows ML or WinML, ExecutionProviderCatalog, EnsureReadyAsync/TryRegister, GetEpDevices, onnxruntime.dll conflicts, Microsoft.ML.OnnxRuntimeGenAI.WinML, DirectML availability, or a Windows ML / ONNX Runtime upgrade, even when the user only says "DirectML is broken" or "why doesn't the NPU show up".
90%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Passed
No findings from the security scan
This skill hasn't been evaluated yet
tessl scenario generatetessl eval runMesilimLLC/Trackdub
46d6153
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.