How does this skill search scientific literature?

The skill utilizes WebFetch for targeted PubMed searches and general WebSearch to access preprints, reviews, and primary research to ground hypotheses in existing evidence.

Does it provide specific experimental protocols?

It generates high-level experimental designs, including control selection and measurement strategies, which serve as a blueprint for developing detailed laboratory protocols.

Is this skill limited to biomedical research?

No, while it includes specific biomedical optimizations like PubMed integration, the underlying workflow is designed for scientific inquiry across all domains including physics, chemistry, and social sciences.

How are the generated hypotheses evaluated?

Hypotheses are assessed against rigorous criteria including testability, falsifiability, parsimony, explanatory power, and consistency with established principles.

Scientific Hypothesis Generation

Name: Scientific Hypothesis Generation
Author: Microck

byMicrock

•

Data Science & ML

Generates rigorous, testable scientific hypotheses and detailed experimental designs based on observations and existing literature.

Scientific Hypothesis Generation is a specialized skill designed to transform raw observations into structured scientific inquiries. It guides Claude through a systematic workflow that includes comprehensive literature synthesis via PubMed and web searches, the development of competing mechanistic explanations, and the evaluation of hypothesis quality based on falsifiability and parsimony. This skill is essential for researchers and students who need to plan experiments, explore alternative explanations for data patterns, and formulate specific, measurable predictions across any scientific domain.

Key Features

01Detailed experimental design and quantitative prediction modeling

0281 GitHub stars

03Mechanistic explanation development for complex scientific phenomena

04Structured reporting using standardized scientific output templates

05Quality assessment based on testability, falsifiability, and parsimony

06Systematic literature synthesis using PubMed and web-based evidence

Use Cases

01Synthesizing existing literature to identify gaps and propose new theories

02Developing research questions and experimental frameworks for new studies

03Evaluating alternative mechanisms for unexpected laboratory observations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills hypothesis-generation

For use in Claude.ai and ChatGPT

Download Skill