I agree with you, but also I want to ask if I do understand this correctly: there was a paradigm in which we were aiming for Small Language Models to perform sp

I agree with you, but also I want to ask if I do understand this correctly: there was a paradigm in which we were aiming for Small Language Models to perform specific types of tasks, orchestrated by the LLM. That is what I perceived the MCP architecture came to standardize. But here, it seems more like a diamond shape of information flow: the LLM processes the big task, then prompts are customized (not via LLM) with reference to the Skills, and then the customized prompt is fed yet again to the LLM. Is that the case?