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数据与复现
SC
Scientific Critical Thinking
维护者 K-Dense Inc. · 最近更新 2026年4月1日
Scientific Critical Thinking：Critical thinking是一个systematic process ，用于 evaluating scientific rigor。 Assess methodology，experimental design，statistical validity，biases，confounding，、 evidence quality ，使用 GRADE 、 Cochrane ROB 框架s。
原始来源
K-Dense-AI/claude-scientific-skills
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/scientific-critical-thinking
- 维护者
- K-Dense Inc.
- 许可
- MIT license
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- Critical thinking是一个systematic process ，用于 evaluating scientific rigor. Assess methodology，experimental design，statistical validity，biases，confounding，、 evidence quality ，使用 GRADE 、 Cochrane ROB 框架s. Apply this skill ，用于 critical analysis of scientific claims。
- Evaluating research methodology 、 experimental design。
- Assessing statistical validity 、 evidence quality。
- Identifying biases 、 confounding in studies。
- Reviewing scientific claims 、 conclusions。
原始文档
SKILL.md 摘录
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.
适用场景
- Evaluating research methodology 、 experimental design。
- Assessing statistical validity 、 evidence quality。
- Identifying biases 、 confounding in studies。
- Reviewing scientific claims 、 conclusions。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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