Use this skill when generating, refining, or stress-testing research hypotheses for AI/ML problems. Produces well-formed, falsifiable hypotheses grounded in existing literature and mechanistic reasoning.
npx claudepluginhub aviskaar/open-org --plugin hypothesis-generation# Hypothesis Generation Generate and rigorously evaluate novel research hypotheses. ## Process ### Step 1 — Problem Framing Clarify the research context: - What phenomenon is being investigated? - What is already known? (Ask the user to provide key papers or summarize the state of the field.) - What surprising or unexplained observation prompted this inquiry? ### Step 2 — Generate Candidate Hypotheses Produce 3–5 distinct hypotheses. For each: - State it as a precise, falsifiable claim. - Identify the underlying mechanism or assumption. - Describe a minimal experiment that would confirm...
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Generate and rigorously evaluate novel research hypotheses.
Clarify the research context:
Produce 3–5 distinct hypotheses. For each:
Use diverse generation strategies:
For each candidate, answer:
Rank hypotheses by:
Recommend the top hypothesis with a justification.
Take the top hypothesis and sharpen it into a paper-ready claim:
"We hypothesize that [specific mechanism] causes [observed phenomenon] in [specific setting], and that this can be demonstrated by [experiment]."
Produce a markdown document with all five steps. Number each hypothesis. Use a comparison table in Step 4.