What is the Hypothesis Generation skill for Claude Code?

It is a specialized capability that helps researchers develop systematic, testable, and evidence-based scientific hypotheses and structured experimental designs.

How does it evaluate the quality of a hypothesis?

It assesses hypotheses against established criteria including testability, falsifiability, parsimony, explanatory power, scope, consistency, and novelty.

Is this skill limited to specific scientific fields?

No, while it has specialized tools for biomedical research, the underlying framework for hypothesis generation and experimental design is applicable across all scientific domains.

Can this skill search scientific databases like PubMed?

Yes, the workflow specifically integrates PubMed for biomedical literature and general web searches to ground every hypothesis in current scientific evidence.

Does it help with actual experimental planning?

Absolutely. It provides structured patterns for laboratory experiments, observational studies, and clinical trials, including sample size considerations and control group planning.

Scientific Hypothesis Generator

Name: Scientific Hypothesis Generator
Author: ricable

byricable

•

Data Science & ML

Generates testable, evidence-based scientific hypotheses and experimental designs across multiple research domains.

The Scientific Hypothesis Generation skill provides a rigorous framework for Claude to act as a research assistant, moving from initial observations to structured experimental plans. It leverages comprehensive literature synthesis—utilizing PubMed and web search—to formulate mechanistic explanations, evaluate hypothesis quality through falsifiability and parsimony, and design robust experiments. This skill is ideal for researchers, scientists, and students who need to explore competing explanations for phenomena and develop quantifiable predictions for their studies, ensuring all inquiry is grounded in existing scientific literature.

Key Features

01Rigorous quality assessment using falsifiability and parsimony criteria

02Mechanism-focused explanation development for scientific inquiry

031 GitHub stars

04Comprehensive literature synthesis via PubMed and WebSearch integration

05Detailed experimental design and quantitative prediction generation

06Systematic evidence-based hypothesis formulation

Use Cases

01Exploring competing explanations for observed data patterns and anomalies

02Planning mechanistic studies and pathways for biomedical research

03Designing controlled experiments and longitudinal studies to test scientific theories

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricable/ultimate-ai-agent hypothesis-generation

For use in Claude.ai and ChatGPT

Download Skill