To continue the realization of new therapeutics, a more diverse range of solid forms is being considered.Synthetic modalities are broadening beyond simple organic mols. to more complicated structures, including organic salts, cocrystals, and solvates.As in all crystalline applications, engineering the morphol. of such systems remains an important consideration, but traditional in silico approaches require further development to become capable of accurately describing these systems.A necessary, but not sufficient, condition to enact mechanistic crystal growth models is to calculate and organize solid-state interactions between growth units.The typical software framework for acquiring this information is to apply crystallog. symmetry operations to generate a unit cell from the asym. unit.While this approach is feasible for systems where the asym. unit corresponds to the growth unit itself, many systems do not satisfy this criterion, particularly the emerging therapeutic solid forms.By redesigning the input preparation software framework, we can build a description of the solid-state interactions that is independent of the asym. unit and applicable to any crystallog. complexity.We demonstrate the application of this method to three organic mol. crystals with crystallog. of varying degrees of complexity.The studied systems are naphthalene (Z' = 0.5), benzoic acid (Z' = 1), and tazofelone (Z' = 2), resp. (where Z' is the number of mols. in the asym. unit).This new software framework lays the groundwork for rapid in silico habit predictions of organic salts, cocrystals, and solvates.The traditional method of obtaining solid-state interactions to predict crystal morphol. relies on applying crystallog. operations to generate a unit cell from the asym. unit using a.cif file, which is difficult for complex solid forms (Z' ≠ 1).We built a description of the solid-state interactions using a.mol2 file that is independent of the asym. unit and applicable to any crystallog. complexity.