This is a fine approach, but it's not necessarily chain of thought if you move the actual problem solving outside of the LM. The entire point of Chain of Thought as originally conceived is that it's a better way of doing within-model problem solving. I would be interested to see the result if you were to finetune the LM on a dataset of reasoning from this approach, however.