Skills

Peer Review

Structured manuscript/grant review with checklist-based evaluation.

Install

npx skills add LeonChaoX/qinyan-academic-skills --skill peer-review -g -a claude-code -y
Category
Data and ML
Updated
4mo ago
License
MIT license
Context cost
Mediumabout 3,000 tokens
Runs scripts
No, instructions only

What it does

Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring frameworks use scholar-evaluation.

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 schematics:

python scripts/generate_schematic.py "your diagram description" -o figures/output.png

The AI will automatically:

  • Create publication-quality images with proper formatting
  • Review and refine through multiple iterations
  • Ensure accessibility (colorblind-friendly, high contrast)
  • Save outputs in the figures/ directory
Read the whole SKILL.md on GitHub

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