Google described building a Gemini API “skill” to teach the model about new SDK/model changes, framing skills as a way to overcome fixed knowledge cutoffs and improve eval pass rates.
We just published a blog on how we built the Gemini API skill.
LLMs have fixed knowledge cutoffs, so we need to teach them about our newest models and how to use the SDK.
it helped Gemini 3.1 Pro pass 95% of 117 eval tests.
This finding is one of many signals tracked across Artificial Intelligence. The live feed updates every few hours with new expert voices, debates, and emerging ideas.
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