You're reviewing a manuscript or grant proposal and need to be systematic about it. This walks you through the full peer review process: initial assessment, section-by-section analysis (methods, stats, figures, discussion), checking reproducibility standards, and verifying reporting guidelines like CONSORT or PRISMA. It's thorough on statistical rigor, covering common pitfalls like multiple testing correction, missing power analyses, and overstated conclusions. The workflow is detailed enough that you could hand it to someone doing their first review. Also integrates with the scientific-schematics skill to generate review flowcharts or evaluation frameworks if you need visuals.

skills.sh installs
612
GitHub stars
33.2K
last updated
Aug 21, 2026

Install

$ npx -y skills add davila7/claude-code-templates --skill peer-review --agent claude-code

Installs into .claude/skills of the current project.

Files

Scientific Critical Evaluation and Peer Review

Overview

Peer review is a systematic process for evaluating scientific manuscripts. Assess methodology, statistics, design, reproducibility, ethics, and reporting standards. Apply this skill for manuscript and grant review across disciplines with constructive, rigorous evaluation.

When to Use This Skill

This skill should be used when:

  • Conducting peer review of scientific manuscripts for journals
  • Evaluating grant proposals and research applications
  • Assessing methodology and experimental design rigor
  • Reviewing statistical analyses and reporting standards
  • Evaluating reproducibility and data availability
  • Checking compliance with reporting guidelines (CONSORT, STROBE, PRISMA)
  • Providing constructive feedback on scientific writing

Visual Enhancement with Scientific Schematics

When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.

Sponsors

Details

Repository
github.com/davila7/claude-code-templates
Categories
Git & Pull Requests, Code Review & Quality, Data Science & ML, Design & UI/UX
First seen
May 16, 2026

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