I agree partly.

Skills are essentially boiling down to distributed parts of a Main Prompt. If you consider a state model you can see this pattern: Task is the state and combining the task's specifics skills defines the current prompt augmentation. When the task changes, another prompt emerges.

In the end, it is the clear guidance of the Agent that is the deciding factor.