[OJFord]

However you compose the context for the skill, the model has to generate output like 'use skill docslookup(blah)' vs. just 'according to the docs in context' (or even 'read file blah.txt mentioned in context') which training can affect.

[vidarh]

This is assuming you make the model itself decide whether the skill is relevant, and that is one way of doing it, but there is no reason that needs to be the case.

Of course training can affect it, but the point is that there is nothing about skills that need to be different to just sending all the skill files as part of the context, because that is a valid way of implementing skills, though it looses the primary benefit of skills, namely the ability to have more documentation of how to do things than fits in context.

Other options that also do not require the main model to know what to include ranges from direct string matching (e.g. against /<someskill>) via embeddings, to passing a question to a smaller model (e.g "are any of these description relevant to this prompt: ...").