In this paper, we study current and upcoming frontiers across the landscape of skeleton-based human action recognition. To skeleton-action recognition in wild, introduce Skeletics-152, a curated 3-D pose-annotated subset RGB videos sourced from Kinetics-700, large-scale dataset. We extend our to include out-of-context actions by introducing Skeleton-Mimetics, dataset derived recently introduced...