Dev Sciomc (Scientific Method)

SkillDev tools

Scientific method scaffolding — hypothesis → experiment → evidence → conclusion. Use when you need rigorous causal reasoning rather than vibes-based debugging.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Dev Sciomc (Scientific Method) skill

What this skill tells your AI

The instructions your AI receives, as published by evolution-foundation/evo-nexus in .claude/skills/dev-sciomc/SKILL.md and read by ahel’s review.

Derived from oh-my-claudecode (MIT, Yeachan Heo). Adapted for the EvoNexus Engineering Layer.

Scientific method discipline applied to engineering investigations. Forces explicit hypothesis statement, experimental design, evidence collection, and provisional conclusions.

Use When

  • Investigation requires rigor beyond "let me try X"
  • Performance optimization (you need controls and measurements, not guesses)
  • A/B comparison of two implementations
  • Anything where the cost of being wrong is high

Do Not Use When

  • Trivial bug → use @hawk-debugger
  • Pure exploration → use @scout-explorer

Workflow

Phase 1 — Hypothesis

  • State the hypothesis as a falsifiable claim
  • "X is faster than Y" not "X feels faster"
  • Identify the dependent variable, independent variables, controls

Phase 2 — Experiment Design

  • What measurement will prove/disprove the hypothesis?
  • What's the minimum sample size for statistical significance?
  • What confounders need to be controlled?

Phase 3 — Evidence Collection

  • Run the experiment
  • Collect raw data
  • Note environmental factors that could affect results

Phase 4 — Analysis

  • Apply statistical tests (delegate to @prism-scientist)
  • Calculate effect size, CI, p-value
  • Compare against the hypothesis

Phase 5 — Conclusion

  • Provisional, never absolute
  • State limitations
  • Identify follow-up experiments

Output

Saved to workspace/development/research/[C]sciomc-{topic}-{date}.md:

## Scientific Investigation — {topic}

### Hypothesis
{Falsifiable claim}

### Experimental Design
- Dependent variable: {what we measure}
- Independent variables: {what we vary}
- Controls: {what we hold constant}
- Sample size: {N}

### Method
{Step-by-step protocol}

### Results
{Raw data summary}

### Statistical Analysis
[delegated to @prism-scientist]

### Conclusion
{Provisional conclusion + limitations}

### Follow-ups
- {next experiment}

Pairs With

  • @prism-scientist (for statistical analysis)
  • @trail-tracer (when investigation is causal)
  • @apex-architect (when conclusion implies architecture change)

Signals

GitHub stars
533
Forks
177
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
dev-sciomc
Source
github.com/evolution-foundation/evo-nexus