  We present a bottleneck analysis tool for designing compute systems for
autonomous Unmanned Aerial Vehicles (UAV). The tool provides insights by
exploiting the fundamental relationships between various components in the
autonomous UAV such as sensor, compute, body dynamics. To guarantee safe
operation while maximizing the performance (e.g., velocity) of the UAV, the
compute, sensor, and other mechanical properties must be carefully designed (or
selected). The goal of our proposed tool is to provide a visual model which
aids system architects to understand optimal compute design (or selection) for
autonomous UAVs. The tool is available here: https://bit.ly/skyline-tool
