A two-paper arXiv study presents a multi-probe modelling framework intended to separate dark matter from baryonic components in massive galaxy clusters. Using Abell S1063 as a test case, the first paper focuses on constructing the observational mass-constraint datasets required for the modelling. The researchers measure light profiles for 289 cluster galaxies, including the brightest cluster galaxy (BCG) and the intra-cluster light (ICL), using Hubble Space Telescope HST/F160W imaging. Their analysis accounts for contamination from foreground and background galaxies. Stellar masses and velocity dispersions are estimated using multi-band HST photometry and VLT/MUSE integral-field spectroscopy, with stellar masses derived from three different spectral energy distribution models and velocity dispersions measured from line-of-sight dispersions at or near half-light radii (with elliptical annular apertures for the BCG and ICL). The second paper applies a multi-probe parametric mass model that combines constraints on total mass and the baryonic components, including kinematic and X-ray data for the intra-cluster gas. The best-fitting model reproduces multiple-image positions with an RMS of 0.50″ and matches BCG/ICL kinematic profiles and X-ray surface brightness within uncertainties, while requiring an additional 35 km/s scatter for cluster member dispersions. The derived stellar-to-subhalo relation agrees at the 1σ level with predictions from large-scale simulations, and the ICL stellar mass is consistent with stellar population estimates.