Can this skill help identify p-hacking or statistical errors?

Yes, it includes a statistical review checklist to detect p-hacking, improper p-value interpretation, sample size issues, and common pitfalls like Simpson's paradox.

Does it support visual representations of research concepts?

Yes, the skill is designed to work with scientific-schematics to generate AI-powered, publication-quality diagrams, flowcharts, and decision trees.

Is this skill suitable for writing formal peer reviews?

While it is excellent for the analytical phase of a review, it is recommended to use the dedicated peer-review skill for formal writing tasks.

What frameworks does this skill use for evidence assessment?

The skill applies recognized frameworks such as GRADE (Grading of Recommendations, Assessment, Development and Evaluations) and Cochrane Risk of Bias to systematically evaluate evidence quality.

Scientific Critical Thinking

Name: Scientific Critical Thinking
Author: youyinnn

byyouyinnn

0•

学習とドキュメンテーション

Evaluates scientific claims and evidence quality using rigorous methodology critique and evidence-grading frameworks.

This skill enhances Claude's ability to perform systematic critical analysis of scientific research and experimental designs. It provides a structured approach to assessing internal and external validity, identifying cognitive and procedural biases, and evaluating statistical rigor. By applying frameworks like GRADE and Cochrane Risk of Bias, the skill helps users weigh evidence quality and identify logical fallacies in scientific arguments. It is particularly useful for researchers, students, and professionals conducting systematic reviews or peer-review preparations who require a deep, objective analysis of methodology and conclusions.

主な機能

01Systematic detection of researcher, selection, and analysis biases

020 GitHub stars

03Automated generation of scientific schematics and flowcharts

04Rigorous methodology and experimental design critique

05Evidence quality assessment using GRADE and Cochrane frameworks

06Comprehensive statistical analysis and p-value evaluation

ユースケース

01Reviewing research papers for methodological flaws and statistical validity

02Evaluating the strength of claims in scientific documentation and grant proposals

03Conducting systematic reviews or meta-analyses with standardized risk-of-bias tools

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add youyinnn/skills-collection scientific-critical-thinking

For use in Claude.ai and ChatGPT

主な機能

01Systematic detection of researcher, selection, and analysis biases

020 GitHub stars

03Automated generation of scientific schematics and flowcharts

04Rigorous methodology and experimental design critique

05Evidence quality assessment using GRADE and Cochrane frameworks

06Comprehensive statistical analysis and p-value evaluation

ユースケース

01Reviewing research papers for methodological flaws and statistical validity

02Evaluating the strength of claims in scientific documentation and grant proposals

03Conducting systematic reviews or meta-analyses with standardized risk-of-bias tools

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add youyinnn/skills-collection scientific-critical-thinking

For use in Claude.ai and ChatGPT