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scientific-critical-thinking

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Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.

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claude-scientific-writer

K-Dense-AI/claude-scientific-writer

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claude-scientific-writer

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K-Dense-AI/claude-scientific-writer
440stars

skills/scientific-critical-thinking/SKILL.md

Last Verified

January 20, 2026

Install Skill

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Scope:
npx add-skill https://github.com/K-Dense-AI/claude-scientific-writer/blob/main/skills/scientific-critical-thinking/SKILL.md -a claude-code --skill scientific-critical-thinking

Installation paths:

Claude
.claude/skills/scientific-critical-thinking/
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Instructions

# Scientific Critical Thinking

## Overview

Critical thinking is a systematic process for evaluating scientific rigor. Assess methodology, experimental design, statistical validity, biases, confounding, and evidence quality using GRADE and Cochrane ROB frameworks. Apply this skill for critical analysis of scientific claims.

## When to Use This Skill

This skill should be used when:
- Evaluating research methodology and experimental design
- Assessing statistical validity and evidence quality
- Identifying biases and confounding in studies
- Reviewing scientific claims and conclusions
- Conducting systematic reviews or meta-analyses
- Applying GRADE or Cochrane risk of bias assessments
- Providing critical analysis of research papers

## 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:**
```bash
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

**When to add schematics:**
- Critical thinking framework diagrams
- Bias identification decision trees
- Evidence quality assessment flowcharts
- GRADE assessment methodology diagrams
- Risk of bias evaluation frameworks

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