Science depends heavily on reliable and easy-to-use software packages such as mathematical libraries or data analysis tools. Developing such packages requires a lot of effort which is too often avoided due to the lack of funding or recognition. In order to reduce the efforts required to create sustainable software packages, we present a project skeleton that ensures best software engineering practices from the start of a project or serves as reference for existing projects.