Can I generate visual diagrams with this skill?

Absolutely. It integrates with scientific-schematics to produce publication-quality diagrams, flowcharts, and decision trees to visualize research concepts and assessment frameworks.

What frameworks does this skill use for evidence grading?

It utilizes the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) and Cochrane Risk of Bias (ROB) frameworks to systematically assess evidence quality and research rigor.

Does this skill help with writing formal peer-review reports?

While this skill is excellent for deep analysis and identifying flaws, it is optimized for the evaluation phase. For formal peer-review writing, it is best used in conjunction with the peer-review skill.

Can this skill help detect 'p-hacking' or other statistical errors?

Yes, it includes specialized routines to check for p-value clustering, sample size adequacy, multiple comparison corrections, and common statistical pitfalls like the Texas sharpshooter fallacy.

Scientific Critical Thinking

Name: Scientific Critical Thinking
Author: Yezez9

byYezez9

0•

Data Science & ML

Evaluates scientific rigor and methodology to ensure research validity and identify potential biases using established evidence frameworks.

This skill empowers Claude to perform deep, systematic evaluations of scientific research by assessing methodology, experimental design, and statistical validity. It applies industry-standard frameworks like GRADE and Cochrane Risk of Bias to help users identify confounders, detect logical fallacies, and determine the overall quality of evidence. Whether you're reviewing a peer-reviewed paper, designing a new experiment, or conducting a systematic review, this skill provides the structured analysis needed to separate high-quality science from flawed claims, complete with automated generation of scientific schematics for visual clarity.

Key Features

01Systematic methodology critique using established research design frameworks

02Comprehensive bias detection including cognitive, selection, and analysis biases

03Automated generation of publication-quality scientific schematics and flowcharts

04Advanced statistical review for p-value interpretation, sample size, and effect sizes

050 GitHub stars

06Evidence grading using GRADE and Cochrane Risk of Bias (ROB) standards

Use Cases

01Designing experimental protocols with minimized bias and valid statistical power

02Critically reviewing research papers and identifying methodological flaws or blind spots

03Conducting systematic literature reviews and meta-analyses with formal evidence grading

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yezez9/research-agent scientific-critical-thinking

For use in Claude.ai and ChatGPT

Key Features

01Systematic methodology critique using established research design frameworks

02Comprehensive bias detection including cognitive, selection, and analysis biases

03Automated generation of publication-quality scientific schematics and flowcharts

04Advanced statistical review for p-value interpretation, sample size, and effect sizes

050 GitHub stars

06Evidence grading using GRADE and Cochrane Risk of Bias (ROB) standards

Use Cases

01Designing experimental protocols with minimized bias and valid statistical power

02Critically reviewing research papers and identifying methodological flaws or blind spots

03Conducting systematic literature reviews and meta-analyses with formal evidence grading