In this talk, I will describe the adaptation of the well-known Collins-Knowles spin-correlation algorithm to the PanScales dipole and antenna showers. Furthermore, I discuss several spin-sensitive observables, such as a Lund-declustering based azimuthal measure and the 3-point energy correlator that was resummed recently by Chen, Moult and Zhu. The Collins-Knowles algorithm implementation in the PanScales showers is validated by comparing with leading order matrix elements at fixed order. Validation at all orders proceeds through the application of a number of novel numerical techniques, which allows us to run the PanScales showers up to extremely small scales, isolating the single-logarithmic collinear terms. The predictions for the spin-sensitive observables are compared with analytic resummation, as well as with the MicroJets collinear resummation code, extended to also include spin correlations. Finally, I comment on the potential phenomenological applications of these observables.