Abstract: The present disclosure is directed towards an extended reality (XR) learning system that provides users with hands-on visual guidance from an instructor or expert using an XR device. The XR learning system includes a motion capture system to record an expert's hands performing a task and a processor to generate a (bone-by-bone) representation of the expert's hands from the recording. The processor can then generate a model of the expert's hands based on the representation. This model can be modified and calibrated to a particular user. Once the user requests content, the processor can transfer the recording to the user's XR system, which can then display the model of the expert's hands overlaid on the user's hands to help visually guide the user to perform the task.