Experimentation skills and workflows surfaced by the site skill importer.
by alirezarezvani
product-discovery helps AI agents structure Product Management discovery with Opportunity Solution Trees, assumption mapping, validation experiments, and discovery sprint decisions before engineering investment.
by alirezarezvani
experiment-designer helps Product Management teams design A/B and feature experiments with testable hypotheses, metrics, sample-size planning, ICE prioritization, stopping rules, and result interpretation.
by alirezarezvani
ab-test-setup is a marketing experimentation skill for planning statistically sound A/B tests. Use it to define hypotheses, variants, primary and guardrail metrics, sample size assumptions, duration, decision rules, and pre-launch QA for conversion experiments.
by alirezarezvani
resume is a Claude workflow skill for continuing paused autoresearch experiments. It checks out the experiment branch, reads .autoresearch config, strategy, results history, and git logs, then reports current state before iteration.
by phuryn
Prioritize-assumptions helps teams rank assumptions with an Impact × Risk matrix and recommend experiments for each item. Use prioritize-assumptions for Strategic Planning to turn uncertain ideas into a clear test plan, especially when you need a practical prioritize-assumptions guide, usage flow, and next-step validation.
