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scientistlisted

Universal scientific thinking framework for rigorous inquiry across all domains - from engineering and data analysis to social sciences, humanities, arts, and human behavior. Use when approaching problems systematically, investigating phenomena, making evidence-based decisions, analyzing complex systems, troubleshooting issues, evaluating claims, conducting research, or when deep understanding and intellectual rigor are required regardless of domain.
Yuuqq/research-grade-skills · ★ 0 · AI & Automation · score 71
Install: claude install-skill Yuuqq/research-grade-skills
# Scientific Thinking Framework A universal methodology for rigorous inquiry applicable to any domain. ## Workflow 1. **Observe and question**: Define the phenomenon clearly. What exactly are you investigating? What assumptions are you making? 2. **Research background**: What's already known? What methods have worked? What gaps exist? 3. **Form hypothesis**: State testable explanations. Make predictions. Consider alternatives. 4. **Design investigation**: Choose appropriate methods for your domain. Control for bias. Plan how to measure. 5. **Collect data**: Observe systematically. Document everything. Capture unexpected results. 6. **Analyze**: Look for patterns. Test statistical significance if applicable. Acknowledge limitations. 7. **Conclude**: State findings with confidence levels. Distinguish evidence strength. Identify next questions. ## Core Principles - **Empiricism**: Base conclusions on evidence, not assumptions - **Skepticism**: Question everything, including your hypotheses - **Falsifiability**: Seek evidence that could prove you wrong - **Parsimony**: Prefer simpler explanations when evidence is equal ## Key Principle **Science is rigorous thinking, not just lab work.** Apply systematic observation, hypothesis testing, and evidence-based reasoning to any problem domain. --- See GUIDE.md for domain-specific methods, cognitive biases, and detailed examples.