This is the second public release for Application Skeleton - a tool to generate skeleton applications that mimic a real applications' parallel or distributed performance at a task (but not process) level. It can create bag-of-task, (iterative) map-reduce, and (iterative) multistage workflow applications This tools/concept allows computer scientists to focus on the system they are building; they can work with the simpler skeleton applications and be sure that their work will also be applicable to the real applications. Now callable from other code through API; now outputs JSON in addition to Shell, Swift, and Pegasus; other small changes. See CHANGELOG for more details. A paper about the initial version of Application Skeleton (v1.0) is: Z. Zhang and D. S. Katz, "Application Skeletons: Encapsulating MTC Application Task Computation and I/O," Proceedings of 6th Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS), (in conjunction with SC13), 2013. http://dx.doi.org/10.1145/2503210.2503222 A paper about the first public version of Application Skeleton (v1.1) is: Z. Zhang, D. S. Katz, "Using Application Skeletons to Improve eScience Infrastructure," Proceedings of 10th IEEE International Conference on eScience, 2014. http://dx.doi.org/10.1109/eScience.2014.9