alt Hacker NewsYes I'd be interested in that answer too - these scores are most likely just generated in an arbitrary way, given how LLMs work. Given how they work in generating text it didn't actually keep a score and add to it each time it found a plus point in the skill as a human might in evaluating something.
At this point I'd discount most advice given by people using LLMs, because most of them don't recognise the inadequacies and failure modes of these machines (like the OP here) and just assume that because output is superficially convincing it is correct and based on something.
Do these skills meaningfully improve performance? Should we even need them when interacting with LLMs?
They aren't arbitrary, as I said earlier I got the LLM to de a detailed analysis first, then summarise. If I was doing this "properly" for something I was doing myself I'd go through the LLM summary point by point and challenge anything I didn't think was right and fix things in the skill where I thought it was correct.
You aren't going to have much success with LLMs if you don't understand that their primary goal is to produce plausible and coherent responses rather than ones that are necessarily correct (although they may be - hopefully).
And yes, Skills *do* make a significant difference to performance, in exactly the same way that well written prompts do - because that's all they really are. If you just throw something at a LLM and tell it "do something with this" it will, but it probably won't be what you want and it will probably be different each time you ask.
https://agentskills.io/home