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dev-sciomc

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

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Repositório
evolution-foundation/evo-nexus
Última atividade na origem
10 de abril de 2026 às 16:24
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inglês
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548
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SKILL.md
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name
dev-sciomc
description
Scientific method scaffolding — hypothesis → experiment → evidence → conclusion. Use when you need rigorous causal reasoning rather than vibes-based debugging.
# Dev Sciomc (Scientific Method) 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`: ```markdown ## 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)
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