claude

AI-First Product Builder

AI-First Product Builder skills: falsifiable hypotheses, exposure plans, and the hypothesis-to-evidence experiment loop for prototypes built with coding agents.

14 on GitHubby Alaimo Labsv1.1.0CC-BY-NC-4.0updated 16 days agoproduct-management
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Plugin afpb from marketplace ai-first-skills in alaimo-labs/ai-first-skills. Commands read from the repo's manifest — 16 days ago.

What it installs

Skills (4)

  • exposure-plans

    How to build an Exposure Plan — an ordered set of accumulative reveal levels that validate a feature's hypothesis layer by layer, each level testing one falsifiable belief. Use when slicing a feature, planning a progressive reveal, designing how to validate a hypothesis in stages, or deciding what t

  • falsifiable-hypotheses

    How to turn a product conviction into a falsifiable hypothesis with a measurable experiment — structure, quality bar, and behavioral success criteria. Use when formulating a hypothesis, designing an experiment, defining success criteria for a prototype, or when the user states a belief about users t

  • formulate-hypothesis

    Turn a product idea or conviction into a falsifiable hypothesis with behavioral success criteria and a decision rule

  • plan-exposure

    Build an Exposure Plan for a hypothesis or spec — accumulative reveal levels, each testing one falsifiable belief

View source on GitHub alaimolabs.com

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