Skill

Extract offer adjustments from validation learnings

Packaged know-how that tells an agent how to do a job well.

You might say…

The test didn't hit the threshold, but it told me things. I need to know what to actually change before I try again.

What it does

Mines the validation signal — objections, price sensitivity, framing that landed — for concrete changes to carry back into the promise, price, or format before building or re-testing.

Trigger: Use after the verdict, especially on a marginal or no-go result, to extract actionable adjustments rather than just walking away.

I/O: Validation signal data (objections, price reactions, framing response) → Prioritised offer-adjustment list: promise, price, format changes

Recognise the problem?

The primitives are the commodity part. The fastest next step is a conversation about composing them into something that works for you.

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