Understanding how the skin microbiota contributes to skin health and disease requires knowledge of the dynamic interactions between the skin and its resident microbes. In silico modeling complements in vivo and in vitro experiments by enabling a systems-level understanding of dynamic skin-microbiota interactions. However, the number of published in silico skin microbiota models remains limited. This paper provides the first comprehensive exploration of in silico skin microbiota modeling. We identify current challenges, learn from leading experimental validation approaches adopted in in silico gut microbiota research, and propose ways to enhance the predictive power of in silico skin microbiota models.