Does it provide feedback on writing quality?

Yes, the skill assesses clarity, organization, narrative flow, and accessibility for both specialist and non-specialist audiences.

How does it handle statistical analysis review?

It evaluates if statistical assumptions are met, checks for multiple testing corrections, assesses sample size justifications, and ensures effect sizes are properly reported.

Can it assist with grant proposal evaluations?

Yes, it includes specialized modules for evaluating research significance, experimental design rigor, and ethical compliance within grant applications.

What reporting standards does this skill support?

The skill supports major discipline-specific guidelines including CONSORT, PRISMA, STROBE, and ARRIVE to ensure manuscripts meet global publishing standards.

Can this skill help with data reproducibility?

It audits data availability statements, software versioning, and code accessibility to ensure the research findings are transparent and replicable.

Scientific Peer Review Toolkit

Name: Scientific Peer Review Toolkit
Author: K-Dense-AI

byK-Dense-AI

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3,719

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データサイエンスとML

Conducts systematic, high-rigor peer reviews of scientific manuscripts and grant proposals across all major research disciplines.

This skill transforms Claude into a sophisticated scientific reviewer, providing a systematic framework for evaluating the validity, methodology, and ethical standards of academic research. It guides users through a multi-stage workflow—from initial assessment to detailed statistical analysis and reproducibility checks—ensuring compliance with international reporting standards like CONSORT and PRISMA. Whether you are a journal editor, a researcher self-evaluating a draft, or a grant reviewer, this tool helps identify critical flaws, assess data integrity, and provide constructive, publication-quality feedback while integrating scientific schematics for visual clarity.

主な機能

013,719 GitHub stars

02Comprehensive multi-stage review workflow from initial assessment to ethical evaluation

03Integrated visual enhancement using scientific-schematics for review process flowcharts

04Compliance auditing for reporting standards like CONSORT, STROBE, PRISMA, and ARRIVE

05Deep statistical rigor checks including power analysis and hypothesis testing validation

06Reproducibility and transparency assessment of data availability and code access

ユースケース

01Grant review committees assessing the feasibility and rigor of research proposals

02Journal reviewers and editors performing formal peer review for academic manuscripts

03Researchers conducting pre-submission self-evaluations to identify methodological weaknesses

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add k-dense-ai/claude-scientific-skills peer-review

For use in Claude.ai and ChatGPT

Download Skill