Which scientific frameworks are supported?

The skill specifically supports the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) and Cochrane Risk of Bias (ROB) evaluation systems.

Does it support data visualization?

Yes, it includes a dedicated capability to generate publication-quality scientific schematics and flowcharts to illustrate complex research concepts.

Can this skill detect statistical errors?

Yes, it evaluates sample sizes, power calculations, p-value interpretations, effect sizes, and common pitfalls like correlation-causation confusion.

How does this skill help with research peer review?

It provides a structured framework to systematically critique methodology, identify potential biases (such as p-hacking or selection bias), and assess the strength of evidence.

Scientific Critical Thinking

Name: Scientific Critical Thinking
Author: sonofmagic

bysonofmagic

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1,720

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データサイエンスとML

Evaluates scientific research rigor by assessing methodology, statistical validity, and bias through frameworks like GRADE and Cochrane ROB.

The Scientific Critical Thinking skill empowers Claude to perform systematic evaluations of scientific claims, research papers, and experimental designs. It provides a structured approach for methodology critique, bias detection, and statistical analysis assessment, ensuring that conclusions are supported by high-quality evidence. This skill is particularly useful for researchers and data scientists who need to identify confounding factors, evaluate the strength of evidence using the GRADE hierarchy, or generate visual schematics to represent complex scientific concepts.

主な機能

01Comprehensive methodology and experimental design critique

02Systematic detection of cognitive, selection, and analysis biases

03Statistical validity assessment including power and p-value evaluation

04Evidence quality weighting via GRADE and Cochrane frameworks

05Automated generation of publication-quality scientific schematics

061,720 GitHub stars

ユースケース

01Critically reviewing peer-reviewed research papers for methodological flaws.

02Designing and validating experimental protocols to ensure statistical power.

03Conducting systematic literature reviews and meta-analyses with standardized risk assessments.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sonofmagic/weapp-tailwindcss scientific-critical-thinking

For use in Claude.ai and ChatGPT

Download Skill