Is it suitable for grant applications?

Absolutely. It can assess research rationale, methodology, and experimental design to provide constructive feedback on the feasibility and significance of grant proposals.

Can it check for specific reporting standards?

Yes, the skill evaluates manuscripts against established discipline-specific guidelines such as CONSORT, STROBE, PRISMA, and ARRIVE to ensure maximum transparency.

How does it handle statistical analysis review?

The skill evaluates if statistical assumptions are met, checks for appropriate test selection, identifies missing error bars, and ensures correct reporting of p-values and effect sizes.

How does this skill improve the scientific review process?

It provides a standardized, multi-stage workflow that ensures all critical elements—from hypothesis novelty to statistical validity and ethical compliance—are rigorously and consistently evaluated.

Does it provide feedback on data visualization?

Yes, it includes specific checks for figure integrity, clarity, labeling accuracy, and accessibility to ensure data is presented effectively and honestly.

Scientific Peer Review & Evaluation

Name: Scientific Peer Review & Evaluation
Author: x-cmd

byx-cmd

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Data Science & ML

Evaluates scientific manuscripts and grant proposals using systematic methodology, statistical rigor, and ethical standards.

About

The Peer Review skill transforms Claude into a sophisticated scientific evaluator, capable of conducting rigorous assessments across various academic disciplines. It guides the AI through a multi-stage workflow—from initial assessment to detailed section-by-section reviews—covering critical aspects like methodology, statistical validity, reproducibility, and ethical compliance. This skill is indispensable for researchers, journal reviewers, and grant evaluators who need to ensure the highest standards of scientific integrity, reporting transparency, and clarity in scholarly communication.

Key Features

In-depth statistical assessment including power analysis and assumption checking
Comprehensive ethics and research integrity verification for human and animal studies
Reproducibility auditing against global reporting standards like CONSORT and PRISMA
Systematic section-by-section manuscript evaluation from Abstract to References
Structured reporting templates that prioritize major and minor feedback with actionable solutions
8 GitHub stars

Use Cases

Internal pre-submission checks to identify methodology gaps or reporting errors in manuscripts
Conducting formal peer reviews for academic journals and conference submissions
Evaluating grant proposals for experimental design rigor and technical feasibility

About

Key Features

In-depth statistical assessment including power analysis and assumption checking
Comprehensive ethics and research integrity verification for human and animal studies
Reproducibility auditing against global reporting standards like CONSORT and PRISMA
Systematic section-by-section manuscript evaluation from Abstract to References
Structured reporting templates that prioritize major and minor feedback with actionable solutions
8 GitHub stars

Use Cases

Internal pre-submission checks to identify methodology gaps or reporting errors in manuscripts
Conducting formal peer reviews for academic journals and conference submissions
Evaluating grant proposals for experimental design rigor and technical feasibility