quark-onnx-model-intake

SkillCloud & infra

Inspect a target ONNX model and prepare metadata for Quark ONNX PTQ planning. Use for `.onnx` path validation, opset / IR version detection, input-output shape and dtype discovery, op-type histogram, quantizable-op counting, deployment-target compatibility checks (CPU / CUDA / ROCm / AMD NPU CNN / AMD NPU Transformer), and risk assessment. Trigger for "analyze my ONNX model", "check this onnx model", "what opset is this", "can Quark quantize this .onnx", "is my model NPU-compatible", "does my model already have QDQ", "is my model larger than 2 GB", or before any ONNX quantization step that needs model facts that are missing.

Available today. Use it from your connected AI after setup.

No other account needed.

Then ask your AI: use the quark-onnx-model-intake skill