thinking-scientific-method
Hypothesis → Prediction → Test → Revise with explicit falsification. Use for debugging, feature experimentation, performance investigation, and A/B testing design.
npx skills add majiayu000/claude-skill-registry --skill thinking-scientific-method --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 Method ## Overview The scientific method is a systematic approach to understanding through observation, hypothesis formation, prediction, testing, and revision. In engineering, it provides rigor to debugging, experimentation, and investigation. The key insight: good hypotheses must be falsifiable—you must be able to prove them wrong. **Core Principle:** Form hypotheses that could be proven false. Design experiments that could falsify them. Update beliefs based on evidence. ## When to Use - Debugging (systematic cause identification) - Performance investigation - A/B test design - Feature experimentation - Root cause analysis - Data analysis - Any investigation where you're testing theories Decision flow: ``` Investigating something? → Do you have a clear hypothesis? → no → FORM A HYPOTHESIS → Can your hypothesis be proven false? → no → MAKE IT FALSIFIABLE → Have you designed a test? → no → DESIGN AN EXPERIMENT → Did you update beliefs based on results? → no → REVISE AND ITERATE ``` ## The Scientific Method Process ### Step 1: Observe Gather data about the phenomenon: ```markdown ## Observation What I'm seeing: - API latency increased from 200ms to 800ms - Started appro
- Overview
- When to Use
- The Scientific Method Process
- Step 1: Observe
- Step 2: Question
- Step 3: Hypothesize
- Step 4: Predict
- Step 5: Experiment
- Step 6: Analyze
- Step 7: Conclude and Iterate
- Scientific Debugging
- The Debugging Scientific Method
- A/B Test Design
- Scientific Method Template
What does the thinking-scientific-method skill do?
Hypothesis → Prediction → Test → Revise with explicit falsification. Use for debugging, feature experimentation, performance investigation, and A/B testing design.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill thinking-scientific-method --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.