Skills should be treated as dynamic learning tools that transition from external supervision to internalized decision knowledge, with their usefulness evaluated at the action level rather than uniformly across entire trajectories.
This paper presents AUSO, a method that helps AI agents learn when to use skills throughout their training lifecycle.