Official Provider SkillView repo
Build, optimize, quantize, compile, and benchmark ONNX models for Windows ML using the `winml` CLI. Covers the Build-Your-Own-Model (BYOM) pipeline across NPU (Qualcomm QNN, Intel OpenVINO, AMD VitisAI), GPU, and CPU execution providers. Use this skill whenever the user wants to run a Hugging Face or ONNX model on a Windows AI PC, target an NPU, prepare a model for on-device inference, benchmark latency on Snapdragon X Elite / Intel Core Ultra / AMD Ryzen AI, or troubleshoot operator/EP compatib
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Skill details
Versionv1.0.0
AuthorMicrosoft
Categoryai-ml
Skill IDmicrosoft/winml-cli/skills/use-winml-cli
Related skills
Adding Model SupportUse this skill whenever contributing model support to the `winml` CLI: an unsupported Hugging Face model or architecture, an existing family that fails in one or more commands, a missing recipe, exporter, resolver, task, dataset adapter, evaluator, or promotion handoff. It diagnoses the gap, implements the narrowest reusable fix, validates the result, opens a draft model-support PR, and captures reusable findings. Trigger even when the user asks to repair support rather than explicitly saying "aAuto OptimizeUse when optimizing ONNX latency with WinML for a target EP/device, including QNN NPU profiling and graph interactions.Agent Host Chat ContributionsBuild and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.Build Champ TriageFind out why a build has failedChat Customizations EditorUse when working on the Chat Customizations editor — the management UI for agents, skills, instructions, hooks, prompts, MCP servers, and plugins.ComponentHelp author a component specification for an agent.