Can this skill help with statistical analysis?

Yes, it evaluates p-values, sample sizes, effect sizes, and checks for common pitfalls like p-hacking, multiple comparison errors, and correlation-causation confusion.

What frameworks does this skill use for evaluation?

It utilizes industry-standard frameworks including GRADE for evidence quality and Cochrane Risk of Bias (ROB) for assessing methodological flaws.

Is this skill useful for peer reviews?

Absolutely. It provides a structured checklist for critiquing methodology, internal and external validity, and measurement quality in research papers.

Does it detect logical fallacies?

Yes, it identifies common errors in scientific reasoning such as the Galileo gambit, base rate neglect, and post hoc ergo propter hoc fallacies.

Scientific Critical Thinking

Name: Scientific Critical Thinking
Author: lifangda

bylifangda

•

데이터 과학 및 ML

Evaluates scientific rigor by assessing research methodology, statistical validity, and potential biases using industry-standard frameworks.

Scientific Critical Thinking provides a structured framework for evaluating the quality of research papers, clinical trials, and data-driven claims. It empowers Claude to systematically analyze experimental designs, detect cognitive and measurement biases, and assess evidence quality using recognized standards like GRADE and Cochrane Risk of Bias. By applying rigorous statistical checks and identifying logical fallacies, this skill ensures that users can distinguish between robust scientific findings and flawed or misleading conclusions, making it essential for academic review and evidence-based decision-making.

주요 기능

01Systematic detection of cognitive, selection, and measurement biases

02Evidence quality assessment using GRADE and Cochrane frameworks

0316 GitHub stars

04Rigorous methodology and experimental design critique

05In-depth statistical evaluation including p-value and effect size analysis

06Identification of common scientific and logical fallacies

사용 사례

01Conducting systematic literature reviews and meta-analyses

02Critiquing academic research papers and experimental protocols

03Fact-checking scientific claims and interpreting complex clinical trial data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lifangda/claude-plugins scientific-critical-thinking

For use in Claude.ai and ChatGPT

Download Skill