This paper presents a Python library developed to determine the outer shell of unit cube complexes, a critical component in optimization processes aimed at minimizing material usage while ensuring structural stability. The library addresses the challenge of processing dense STL files, which are common outputs of optimization algorithms, by extracting the outer shell geometry of the constructs. This capability is particularly relevant for applications in structural engineering and material optimization, where understanding the boundaries of complex geometries is essential. We rigorously tested the library against various edge cases and validated its effectiveness with a real-world application involving a concrete bridge design. The results demonstrate the library’s robustness, efficiency, and practical value in optimizing material usage while maintaining structural integrity.