Use when facing unknowns, debugging without a clear cause, or making architecture decisions — enforces hypothesis-driven scientific reasoning through observation, hypothesis formulation, prediction, experiment design, and evidence-based conclusion. Use when previous attempts have failed or the problem space involves uncertainty.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add Jamie-BitFlight/claude_skills --skill scientific-thinking --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Scientific Thinking?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/jamie-bitflight-scientific-thinking)More formats (shields.io, HTML) on the badges page.
---
name: scientific-thinking
description: Use when facing unknowns, debugging without a clear cause, or making architecture decisions — enforces hypothesis-driven scientific reasoning through observation, hypothesis formulation, prediction, experiment design, and evidence-based conclusion. Use when previous attempts have failed or the problem space involves uncertainty.
user-invocable: true
---
# Scientific Thinking
Enforces the scientific method as an investigation discipline. Governs hypothesis formulation,
predictions, experiment design, and evidence-based conclusions.
## Shared Resources
Load these references at the start of any investigation. A [references index](./references/shared-references.md) is available for a quick map of all shared files.
- [Unified Investigation Template](../../shared/investigation-template.md) — output structure for
all investigation work
- [Investigation Workflow](../../shared/investigation-workflow.md) — mermaid diagrams of the full
scientific method flow
## Companion Skill
`evidence-first-debugging` handles observation recording, evidence IDs, and causality
validation. Both skills use the same Unified Investigation Template output structure. Load
`evidence-first-debugging` when the task requires structured evidence tracking alongside
hypothesis work.
## Activation Triggers
Activate this skill when the prompt contains:
- "unknown cause", "strange behavior", "intermittent"
- "architecture decision", "previous attempts failed"
- "root cause", "investigation"
## Scope Boundary
Apply this skill to problems with genuine uncertainty — unknowns, failed attempts, complex
architecture trade-offs.
Tasks outside scope: typo fixes, simple additions, tasks with explicit step-by-step instructions
already provided. For those, execute directly.
## Investigation Stages
Enforce stages in this order. Each stage gates the next.
```mermaid
flowchart TD
S0[Stage 0-3: Observation<br>Record ONLY factual observations<br>No interpretation] --> S4
S4[Stage 4: Hypothesis Formulation<br>State H0 null and H1 alternative<br>Both must be falsifiable] --> S5
S5[Stage 5: Prediction<br>Write: If H1 is true, we should observe...] --> S6
S6[Stage 6-7: Experiment Design<br>Define Path A and Path B<br>Identify confounds] --> S8
S8[Stage 8-9: Execute<br>Run experiments<br>Record results verbatim] --> S10
S10[Stage 10-11: Conclusion<br>Classify causality<br>State decision<br>Cite evidence IDs] --> Done
Done{status?}
Done -->|resolved-verified| Retro[Notify user: retrospective-analyst<br>agent can produce mermaid timeline<br>and retrospective from iteration log]
Done -->|unresolved or mitigated| S0
```
### Stage Rules
**Observation (sections 0-3):**
- Record only what is directly observable — no causal language, no interpretations
- Each observation requires an evidence ID (delegated to `evidence-first-debugging`)
**Hypothesis Formulation (section 4):**
- H0 (null): the default assumption — no effect, no cause
- H1 (alternative): the proposed cause or mechanism
- Both must be falsifiable — if a hypothesis cannot be tested, rewrite it
**Prediction (section 5):**
- Write one sentence per hypothesis: "If H1 is true, we should observe X when we do Y"
- Predictions must reference observable, measurable outcomes
**Experiment Design (sections 6-7):**
- Path A: test that would confirm H1
- Path B: test that would refute H1 (controls for confounds)
- List confounds explicitly — variables that could produce the same result without H1 being true
**Execute (sections 8-9):**
- Run experiments exactly as designed — record results verbatim, not summarized
- If execution diverges from design, restart from Experiment Design with updated constraints
**Conclusion (sections 10-11):**
- Classify each action-result link: `causal-supported`, `correlated-only`, `unrelated`, or `unknown`
- State the decision derived from evidence
- Every claim must cite an evidence ID — no unsupported assertions
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!