In this paper we introduce to the architecture and the abilities of our

design and analysis workbench for modern action planning. The toolkit provides

automated domain analysis tools together with PDDL learning capabilities. New

optimal and suboptimal planners extend state-of-the-art technology. With the

tool, domain experts assist solving hard combinatorial problems. Approximate or

incremental solutions provided by the system are supervised. Intermediate results

are accessible to improve domain modeling and to tune exploration in generating

high quality plans, which, in turn, can be bootstrapped for domain inference.