peer-review

Solid

Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity, reporting standards, for manuscript and grant review across disciplines.

Code & Development 27,705 stars 2858 forks Updated today MIT

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Skill Content

# 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.** If your document does not already contain schematics or diagrams: - Use the **scientific-schematics** skill to generate AI-powered publication-quality diagrams - Simply describe your desired diagram in natural language - Nano Banana Pro will automatically generate, review, and refine the schematic **For new documents:** Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text. **How to generate schemati...

Details

Author
davila7
Repository
davila7/claude-code-templates
Created
11 months ago
Last Updated
today
Language
Python
License
MIT

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