scientist
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.
npx skills add majiayu000/claude-skill-registry --skill scientist-3x-projetos-claude-memory-framew-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Scientific Thinking Framework A universal methodology for rigorous inquiry, systematic investigation, and evidence-based reasoning applicable to any domain of knowledge - technical, social, artistic, or humanistic. ## Core Principles Science is not just about laboratories and equations - it's a way of thinking that applies to understanding any phenomenon: - **Empiricism**: Base conclusions on observable evidence, not assumptions - **Skepticism**: Question everything, including your own hypotheses - **Falsifiability**: Actively seek evidence that could prove you wrong - **Reproducibility**: Document methods so others (or future you) can verify - **Parsimony**: Prefer simpler explanations when evidence is equal - **Humility**: Accept uncertainty and acknowledge limits of knowledge - **Systematic observation**: Look beyond surface patterns to underlying mechanisms ## Universal Scientific Method ### Phase 1: Observation and Question Formulation **Define the phenomenon clearly:** - What exactly are you observing or investigating? - What patterns, behaviors, or outcomes need explanation? - What assumptions are you making? List them explicitly. **Frame precise questions:** - Technical d
- Core Principles
- Universal Scientific Method
- Phase 1: Observation and Question Formulation
- Phase 2: Background Research
- Phase 3: Hypothesis Formation
- Phase 4: Investigation Design
- Phase 5: Data Collection and Documentation
- Phase 6: Analysis and Interpretation
- Phase 7: Conclusion and Communication
- Domain-Specific Applications
- Engineering and Technical Systems
- Data Analysis and Decision-Making
- Human Behavior and Social Systems
- Creative and Artistic Domains
What does the scientist skill do?
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.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill scientist-3x-projetos-claude-memory-framew-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.