
Peer Review
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-codeInstalls 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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