The paper presents a skin-inspired highly stretchable and conformable matrix network (SCMN) that integrates multiple sensors to detect various stimuli, including temperature, in-plane strain, humidity, light, magnetic field, pressure, and proximity. The SCMN is designed to mimic the human somatosensory system, which consists of various sensory receptors and neural pathways that enable the detection and quantification of touch, heat/cold, and pain. The SCMN is fabricated using a structured polyimide network, which can be expanded to a large area and integrated in three dimensions (3D). This allows for simultaneous multi-stimulus sensing and adjustable sensing ranges. The authors demonstrate the practical application of the SCMN in a personalized intelligent prosthesis, which can map spatial pressure and estimate temperatures of grasped objects. The SCMN's ability to sense multiple stimuli simultaneously and its potential for high-density 3D integration make it a promising technology for humanoid robotics, prosthetics, human-machine interfaces, and health-monitoring technologies.The paper presents a skin-inspired highly stretchable and conformable matrix network (SCMN) that integrates multiple sensors to detect various stimuli, including temperature, in-plane strain, humidity, light, magnetic field, pressure, and proximity. The SCMN is designed to mimic the human somatosensory system, which consists of various sensory receptors and neural pathways that enable the detection and quantification of touch, heat/cold, and pain. The SCMN is fabricated using a structured polyimide network, which can be expanded to a large area and integrated in three dimensions (3D). This allows for simultaneous multi-stimulus sensing and adjustable sensing ranges. The authors demonstrate the practical application of the SCMN in a personalized intelligent prosthesis, which can map spatial pressure and estimate temperatures of grasped objects. The SCMN's ability to sense multiple stimuli simultaneously and its potential for high-density 3D integration make it a promising technology for humanoid robotics, prosthetics, human-machine interfaces, and health-monitoring technologies.