Can this skill generate diagrams for my review?

Yes, it integrates with the scientific-schematics tool to generate publication-quality diagrams, flowcharts, and methodology visualizations directly from natural language descriptions.

How does it help with statistical assessment?

It evaluates statistical power, sample size justification, the appropriateness of parametric vs. non-parametric tests, and ensures that p-values are accompanied by effect sizes and confidence intervals.

Does it check for specific reporting guidelines?

Yes, it evaluates compliance with major reporting standards including CONSORT (trials), STROBE (observational studies), PRISMA (systematic reviews), and ARRIVE (animal research).

What scientific disciplines does this skill support?

The peer-review skill is designed to be cross-disciplinary, applying universal standards for rigorous methodology, statistics, and ethical evaluations across medicine, biology, social sciences, and engineering.

Scientific Peer Review

Name: Scientific Peer Review
Author: pur3v4d3r

bypur3v4d3r

•

数据科学与机器学习

Evaluates scientific manuscripts and grant proposals for methodological rigor, statistical accuracy, and reporting standards.

关于

The Peer Review skill is a comprehensive toolkit designed for the systematic evaluation of scientific research documents. It streamlines the review process by guiding users through a multi-stage assessment of methodology, experimental design, statistical validity, and ethical compliance. Beyond text analysis, it ensures adherence to global reporting standards like CONSORT and PRISMA, while facilitating the generation of high-quality scientific schematics. This skill is indispensable for researchers, journal editors, and grant reviewers seeking to maintain the highest standards of reproducibility and clarity in academic publishing.

主要功能

1 GitHub stars
Compliance checking with reporting guidelines (CONSORT, PRISMA)
Integrated AI-powered scientific schematic generation
Statistical rigor and experimental design assessment
Systematic section-by-section manuscript evaluation
Reproducibility and open data availability auditing

使用场景

Conducting formal peer reviews for academic journals
Evaluating research grant proposals and funding applications
Pre-submission quality assurance for internal research teams

关于

主要功能

1 GitHub stars
Compliance checking with reporting guidelines (CONSORT, PRISMA)
Integrated AI-powered scientific schematic generation
Statistical rigor and experimental design assessment
Systematic section-by-section manuscript evaluation
Reproducibility and open data availability auditing

使用场景

Conducting formal peer reviews for academic journals
Evaluating research grant proposals and funding applications
Pre-submission quality assurance for internal research teams