Data & ReproStatistics & Data AnalysisK-Dense-AI/claude-scientific-skillsData & Reproduction
PE

Peer Review

Maintainer K-Dense Inc. · Last updated April 1, 2026

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.

Claude CodeOpenClawNanoClawAnalysisReproductionpeer-reviewscientific-communicationanalysisanalysis & methodology

Original source

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/peer-review

Maintainer
K-Dense Inc.
License
MIT license
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • 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.
  • 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.

Source Doc

Excerpt From SKILL.md

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:

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

When to add schematics:

  • Peer review workflow diagrams
  • Evaluation criteria decision trees
  • Review process flowcharts
  • Methodology assessment frameworks
  • Quality assessment visualizations
  • Reporting guidelines compliance diagrams
  • Any complex concept that benefits from visualization

For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.


Peer Review Workflow

Conduct peer review systematically through the following stages, adapting depth and focus based on the manuscript type and discipline.

Stage 1: Initial Assessment

Begin with a high-level evaluation to determine the manuscript's scope, novelty, and overall quality.

Key Questions:

  • What is the central research question or hypothesis?
  • What are the main findings and conclusions?
  • Is the work scientifically sound and significant?
  • Is the work appropriate for the intended venue?
  • Are there any immediate major flaws that would preclude publication?

Output: Brief summary (2-3 sentences) capturing the manuscript's essence and initial impression.

Use cases

  • 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.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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