Is this skill useful for meta-analyses?

Absolutely; it is designed to assist in evidence synthesis by assessing the hierarchy and convergence of evidence across multiple independent studies.

Can this skill detect p-hacking or researcher bias?

Yes, it includes specific modules for identifying statistical pitfalls like p-hacking, as well as systematic reviews for cognitive, selection, and measurement biases.

Which frameworks does this skill use?

It leverages established scientific standards including GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) and Cochrane Risk of Bias (ROB) to assess evidence quality.

What is the Scientific Critical Thinking skill?

It is a specialized capability for Claude Code designed to evaluate the rigor, methodology, and evidence quality of scientific research and academic papers.

Scientific Critical Thinking

Name: Scientific Critical Thinking
Author: jimmc414

byjimmc414

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324

データサイエンスとML

Evaluates research rigor, methodology, and statistical validity using standardized frameworks like GRADE and Cochrane ROB.

概要

This skill empowers Claude to perform high-level scientific peer review and critical analysis by providing a systematic framework for evaluating research rigor. It enables the assessment of experimental designs, detection of cognitive and sampling biases, validation of statistical inferences, and systematic weighing of evidence quality. Whether you are conducting meta-analyses or reviewing individual papers, this skill ensures that scientific claims are scrutinized through the lenses of internal validity, external validity, and logical consistency.

主な機能

Systematic Bias Detection (Cognitive, Selection, and Measurement)
Methodology Critique (Internal, External, and Construct Validity)
Statistical Analysis Evaluation (Sample size, p-values, and effect sizes)
324 GitHub stars
Evidence Quality Assessment using GRADE and Cochrane frameworks
Logical Fallacy Identification in scientific arguments

ユースケース

Identifying potential biases and confounding factors in study designs
Evaluating the validity and methodology of published research papers
Conducting systematic reviews and weighing conflicting evidence

概要

主な機能

Systematic Bias Detection (Cognitive, Selection, and Measurement)
Methodology Critique (Internal, External, and Construct Validity)
Statistical Analysis Evaluation (Sample size, p-values, and effect sizes)
324 GitHub stars
Evidence Quality Assessment using GRADE and Cochrane frameworks
Logical Fallacy Identification in scientific arguments

ユースケース

Identifying potential biases and confounding factors in study designs
Evaluating the validity and methodology of published research papers
Conducting systematic reviews and weighing conflicting evidence