What kind of reports does this skill generate?

It generates comprehensive LaTeX documents using a professional template that includes structured colored boxes for hypotheses, predictions, and evidence.

Does it support biomedical research?

Yes, it specifically integrates PubMed search strategies for biomedical topics to ensure hypotheses are grounded in existing peer-reviewed literature.

Are visual aids included in the output?

Visual schematics are mandatory; the skill uses an AI-powered diagramming tool to create mechanistic pathways and experimental flowcharts for every report.

Can I use this for non-biological scientific domains?

Absolutely. The workflow is designed to be domain-agnostic, applying scientific inquiry principles to physics, chemistry, social sciences, and more.

How does it ensure the quality of a hypothesis?

It evaluates every generated hypothesis against specific criteria including testability, falsifiability, parsimony, and explanatory power.

Scientific Hypothesis Generator

Name: Scientific Hypothesis Generator
Author: pur3v4d3r

bypur3v4d3r

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データサイエンスとML

Formulates testable scientific hypotheses and experimental designs supported by literature synthesis and publication-quality schematics.

概要

The Scientific Hypothesis Generator is a rigorous tool designed to transition from initial observations to formal scientific inquiry. It provides a systematic framework for exploring competing explanations, conducting evidence-based literature searches via PubMed, and formulating falsifiable predictions. By integrating mandatory AI-generated schematics and a professional LaTeX reporting system, it enables researchers to document their reasoning with the clarity and structure required for academic and professional scientific documentation.

主な機能

1 GitHub stars
Automates literature synthesis using PubMed and integrated web search
Produces professional XeLaTeX reports with structured formatting boxes
Includes rigorous quality assessment based on testability and parsimony
Generates multiple competing hypotheses with mechanistic explanations
Mandatory creation of publication-quality diagrams via scientific-schematics

ユースケース

Synthesizing complex scientific literature into structured, mechanistic reports
Designing controlled experiments with specific quantitative predictions
Developing formal research protocols from preliminary observations or datasets

概要

主な機能

1 GitHub stars
Automates literature synthesis using PubMed and integrated web search
Produces professional XeLaTeX reports with structured formatting boxes
Includes rigorous quality assessment based on testability and parsimony
Generates multiple competing hypotheses with mechanistic explanations
Mandatory creation of publication-quality diagrams via scientific-schematics

ユースケース

Synthesizing complex scientific literature into structured, mechanistic reports
Designing controlled experiments with specific quantitative predictions
Developing formal research protocols from preliminary observations or datasets