function. Um topics basically on our minds here are uh it's so powerful, but at the same time, you kind of then duplicate stuff into like user space kind of like somewhere on on like a machine. Um like there's no like package management for this, which then like a year like tells the user this is outdated. Um like we could uh we we we thought about just adding like a timestamp of uh this is the current date where it was fetched uh the skill, uh and then just uh oh, if this like older than a month, then try to update. But then we go to second problem of skill distribution and like installing into like the agent environment. Usually, this is kind of like gated or not possible for the agent like depending on uh what you use. Um this user needs to do something to install the skill. This also upgrading doesn't uh auto upgrading doesn't really uh really work, but it really depends on the coding agent that you use. And uh like the target function is interesting for us because like we can either go for user needs to get to like an initial aha of like oh, this works, or do we want to directly straight shoot for this is the perfect setup of how you would do evals for this use case? But this is I mean, without a skill, it takes like usually like an AI engineering team, it takes like months to get to a perfect setup. Do we now aim for an agent to do this in a single shot and overload the user with lots and lots of questions, or do we just try to get to something and then you can still invoke it again of like improve my setup, ask and then it it can ask questions to improve it. So, it's kind of like well, what's what's the target for the skill? That was uh very interesting for us. Uh yep, I would invite you to try it and