TL;DR don't have your agent write skills using only its latent knowledge, otherwise you may as well not use a skill in the first place and let it summon that latent knowledge on the fly.

Not sure if this take is correct though. I suspect self-generated skills help the agent avoid having to "decompress" its latent knowledge, which might save tokens? idk, I am not an expert

It seems so obvious: How would it know better than it already does?

Yet I’ve seen people succeed with „write me a prompt“ prompts. The model makes something up, often it makes sense.

They are like plans in that way: It’s not exactly novel knowledge, but it at least encodes it somewhere to make the process verifiable beforehand and a bit more repeatable.

I wouldn’t be surprised if it improves performance a little, just like thinking blocks do (every model reasons now).

I now have rules to not let agent write any docs or processes. Pretty much anything LLM auto-generated are of zero reuse value.

Skills can transfer one session's latent knowledge to all other sessions.