PYSKL is a research toolbox for skeleton-based action recognition built on PyTorch and MMAction2. It provides implementations of models like PoseConv3D and STGCN++ that analyze 3D human skeletal pose sequences to classify actions and gestures. The project supports standard benchmarks like NTU-RGB+D and Kinetics, and can run skeleton-based recognition in real time on CPU.