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SC
Scientific Critical Thinking
Maintainer K-Dense Inc. · Last updated April 1, 2026
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.
Original source
K-Dense-AI/claude-scientific-skills
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/scientific-critical-thinking
- Maintainer
- K-Dense Inc.
- License
- MIT license
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- 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.
- Evaluating research methodology and experimental design.
- Assessing statistical validity and evidence quality.
- Identifying biases and confounding in studies.
- Reviewing scientific claims and conclusions.
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:
- Critical thinking framework diagrams
- Bias identification decision trees
- Evidence quality assessment flowcharts
- GRADE assessment methodology diagrams
- Risk of bias evaluation frameworks
- Validity assessment visualizations
- Any complex concept that benefits from visualization
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
Use cases
- Evaluating research methodology and experimental design.
- Assessing statistical validity and evidence quality.
- Identifying biases and confounding in studies.
- Reviewing scientific claims and conclusions.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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