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name: scientist description: 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. license: Complete terms in LICENSE.txt version: 2.0.0

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.

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See GUIDE.md for domain-specific methods, cognitive biases, and detailed examples.