Who should use this skill?

It is designed for researchers, peer reviewers, and journal editors who require a systematic and objective approach to evaluating scientific content.

Does it help with statistical validation?

The skill includes a dedicated stage for assessing statistical assumptions, power analysis, multiple testing corrections, and the integrity of data presentation.

Can it check for reporting standards like CONSORT or PRISMA?

Yes, the skill specifically evaluates compliance with various reporting guidelines including CONSORT, STROBE, PRISMA, and ARRIVE to ensure manuscript transparency.

What is the Peer Review Claude Code skill?

It is a specialized capability for conducting rigorous, checklist-based evaluations of scientific manuscripts and grant proposals within the Claude Code environment.

Can it generate scientific diagrams?

Yes, it integrates with the scientific-schematics tool to create publication-quality diagrams, workflow charts, and visual representations of methodology.

Scientific Peer Review & Evaluation

Name: Scientific Peer Review & Evaluation
Author: Weiwei-Mao

byWeiwei-Mao

学习与文档

Conducts structured, high-rigor peer reviews for scientific manuscripts and grant proposals using standardized reporting checklists.

关于

The Peer Review skill provides a systematic framework for evaluating scientific manuscripts, grants, and research applications. It guides Claude through a multi-stage assessment process—from initial scope evaluation and section-by-section analysis to checking statistical validity and reproducibility standards like CONSORT, STROBE, or PRISMA. Designed for researchers and academics, it ensures that feedback is constructive, technically sound, and compliant with modern open-science transparency requirements, while also supporting the generation of publication-quality diagrams to illustrate complex concepts.

主要功能

Reproducibility Checks: Assesses data availability, code transparency, and reagent documentation standards.
Technical Rigor Assessment: Evaluates methodology, statistical assumptions, and experimental design for potential pitfalls.
0 GitHub stars
Visual Enhancement: Integrates with schematic tools to generate publication-quality scientific diagrams and flowcharts.
Standardized Reporting Compliance: Verifies manuscripts against CONSORT, STROBE, PRISMA, and other major reporting guidelines.
Structured Feedback Generation: Produces hierarchical review reports categorized by major and minor comments for actionable revision.

使用场景

Performing internal quality control and revision on lab manuscripts prior to journal submission.
Evaluating research grant proposals for methodological rigor, feasibility, and significance.
Conducting formal peer reviews of scientific journal manuscripts for technical accuracy and clarity.

关于

主要功能

Reproducibility Checks: Assesses data availability, code transparency, and reagent documentation standards.
Technical Rigor Assessment: Evaluates methodology, statistical assumptions, and experimental design for potential pitfalls.
0 GitHub stars
Visual Enhancement: Integrates with schematic tools to generate publication-quality scientific diagrams and flowcharts.
Standardized Reporting Compliance: Verifies manuscripts against CONSORT, STROBE, PRISMA, and other major reporting guidelines.
Structured Feedback Generation: Produces hierarchical review reports categorized by major and minor comments for actionable revision.

使用场景

Performing internal quality control and revision on lab manuscripts prior to journal submission.
Evaluating research grant proposals for methodological rigor, feasibility, and significance.
Conducting formal peer reviews of scientific journal manuscripts for technical accuracy and clarity.