Does it evaluate statistical integrity?

Yes, the skill specifically checks for appropriate statistical tests, power calculations, multiple testing corrections, and clear reporting of p-values and effect sizes.

Can it help me visualize my research data?

Yes, it includes built-in commands to generate publication-quality scientific schematics and diagrams to represent complex workflows or architectures.

What scientific standards does this skill support?

It supports major reporting guidelines such as CONSORT, PRISMA, STROBE, and ARRIVE, ensuring manuscripts meet modern transparency and reproducibility requirements.

How does it structure the final review report?

It generates a hierarchical report starting with a summary statement, followed by prioritized major and minor comments to provide actionable feedback for authors.

Is this skill restricted to specific scientific fields?

No, the peer-review toolkit is designed to be cross-disciplinary, covering everything from medical journals and ML conferences to general life sciences.

Scientific Peer Reviewer

Name: Scientific Peer Reviewer
Author: henriquescastilho

byhenriquescastilho

•

Data Science & ML

Conducts systematic, rigorous evaluations of scientific manuscripts and grant proposals across academic disciplines.

This skill provides a comprehensive toolkit for systematic peer review, enabling Claude to perform deep critical evaluations of scientific research. It guides the user through a multi-stage workflow to assess methodology, statistical rigor, experimental design, and ethical compliance. Beyond text analysis, it evaluates reproducibility, checks adherence to reporting standards like CONSORT and PRISMA, and integrates with schematic tools to enhance data visualization. It is an essential companion for researchers, journal editors, and grant reviewers seeking to maintain high standards of scientific integrity and clarity.

Key Features

01Integration with scientific-schematics for automated publication-quality diagram generation

02Comprehensive ethical evaluation including human subjects and animal research protocols

03Compliance verification for international reporting standards (CONSORT, STROBE, PRISMA)

04Deep methodological and statistical rigor assessment for experimental designs

05Multi-stage systematic review workflow from initial assessment to final report

061 GitHub stars

Use Cases

01Assessing the reproducibility and data transparency of internal research projects

02Evaluating academic manuscripts for journal publication or conference submission

03Reviewing grant proposals and research applications for funding agencies

Key Features

01Integration with scientific-schematics for automated publication-quality diagram generation

02Comprehensive ethical evaluation including human subjects and animal research protocols

03Compliance verification for international reporting standards (CONSORT, STROBE, PRISMA)

04Deep methodological and statistical rigor assessment for experimental designs

05Multi-stage systematic review workflow from initial assessment to final report

061 GitHub stars

Use Cases

01Assessing the reproducibility and data transparency of internal research projects

02Evaluating academic manuscripts for journal publication or conference submission

03Reviewing grant proposals and research applications for funding agencies