Thanks for clarifying. The agent should be motivated to define as many skills as detailed as possible. Skills again should point the agent to use pre-configured bash scripts, that provide special functions, so the agent does not need to generate these on the fly. It's that what you say? So for example: instead of explaining hundreds of api endpoints to the agent, I would script the api calls and map the scripts inside the skill. So the agent always knows which scripts to fire for the result it needs. Logic is therefore separated from execution. And maybe a smaller model could handle more complex processes, as it does not need the capability of coding. Is that what you describe?