Soft robotic hands allow the exploitation of hand-object-environment interactions, but their capabilities can still be limited in cluttered or narrow spaces. In this abstract, we propose enhancing the versatility of soft grippers by adding passive components to their structure without completely altering their design and control. These add-ons are prototyped through a data-driven automated design procedure and their effectiveness has been proved with experiments using two different hands.