Is this skill limited to clinical or medical research?

No, while it incorporates clinical frameworks, the core principles of methodology critique, bias detection, and logical fallacy identification are applicable across all scientific disciplines, including social and physical sciences.

How does it help with experimental design?

It provides a comprehensive checklist for study design assessment, covering internal/external validity, construct validity, randomization quality, and blinding procedures.

Can this skill help identify p-hacking?

Yes, it specifically evaluates statistical analysis for signs of p-hacking, outcome switching, and multiple comparison issues to ensure statistical conclusion validity.

What frameworks does this skill use for evaluation?

It utilizes internationally recognized frameworks such as GRADE (Grading of Recommendations Assessment, Development and Evaluation) and Cochrane Risk of Bias (ROB) to systematically assess the quality and certainty of evidence.

Scientific Critical Thinking

Name: Scientific Critical Thinking
Author: jackspace

byjackspace

•

Data Science & ML

Evaluates research rigor, methodology, and statistical validity to perform critical analysis of scientific claims.

Scientific Critical Thinking is a specialized skill that enables Claude to systematically evaluate the integrity of scientific research. By applying rigorous frameworks like GRADE and Cochrane Risk of Bias, this skill helps users deconstruct experimental designs, identify subtle biases, and audit statistical conclusions. It is particularly useful for researchers, data scientists, and academics who need to verify the strength of evidence in papers, conduct systematic reviews, or ensure their own research methodology meets high standards of validity and reproducibility.

Key Features

01Systematic evidence quality assessment using GRADE and Cochrane frameworks

022 GitHub stars

03Critique research methodology and experimental design for internal and external validity

04Identify cognitive, selection, measurement, and analysis biases within studies

05Audit statistical methods including p-values, effect sizes, and power analysis

06Detect logical fallacies and flaws in scientific argumentation

Use Cases

01Assessing the validity of data-driven claims in popular science and news

02Peer-reviewing research manuscripts and experimental protocols

03Conducting systematic literature reviews and meta-analyses

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jackspace/claudeskillz scientific-thinking-scientific-critical-thinking

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Systematic evidence quality assessment using GRADE and Cochrane frameworks

022 GitHub stars

03Critique research methodology and experimental design for internal and external validity

04Identify cognitive, selection, measurement, and analysis biases within studies

05Audit statistical methods including p-values, effect sizes, and power analysis

06Detect logical fallacies and flaws in scientific argumentation

Use Cases

01Assessing the validity of data-driven claims in popular science and news

02Peer-reviewing research manuscripts and experimental protocols

03Conducting systematic literature reviews and meta-analyses

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jackspace/claudeskillz scientific-thinking-scientific-critical-thinking

For use in Claude.ai and ChatGPT

Download Skill