We present an integrated environment for the systematic development of parallel and distributed programs. Our approach allows the user to construct complex applications by composing and trans- forming skeletons, i.e., recurring patterns of task and data parallelism. First academic and commercial experience with skeleton-based systems has demonstrated the benefits of the approach but also the lack of a dedicated set of methods for algorithm design and performance predic- tion. We take a first step towards such a set of methods by proposing an environment which integrates a framework for algorithm transformation, called FAN, with two existing skeleton-based programming systems: the academic system P3L and its commercial counterpart SkIE.