I've recently written a similar idea but from a more linguistic than computer science perspective. I agree prompt engineering needs a layer of structure reinserted into it, and I think we need massive scale of iterations of different frameworks for those layers, compare them and see which perform best in which ways. Aggregate the data, fine tune. Eventually you've created an optimization layer between LLMs and prompt engineers.