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Hypothesis generation Claude skill

The Hypothesis generation skill helps an AI assistant frame testable scientific questions and competing explanations drawn from observations.

What the Hypothesis generation skill does

The assistant can draft research questions limited by available evidence, proposed hypotheses, competing explanations, claims of cause or mere association, predictions that separate rival accounts, measurement choices, and analysis plans ready for preregistration. It applies when converting observations or early results into open, testable study designs while keeping hypotheses distinct from established facts.

What it covers

  • Formulate evidence-bounded research questions and candidate hypotheses
  • Generate rival explanations before choosing tests
  • Define measurement and operationalization of constructs

How to install it

Other ways

npx skills add K-Dense-AI/scientific-agent-skills

This installs the whole K-Dense-AI/scientific-agent-skills collection, which includes this skill.

What you need

In its documentation's own words:

  • “Python 3.11+ standard library. Bundled CLIs are deterministic and local-only”

Steps change between versions. Check the official instructions before you install.