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From archora-research
Designs detailed experimental protocols for validating research hypotheses, including variables, controls, power analysis, timeline, and expected outcomes.
npx claudepluginhub richard-kim-79/archora-skillsHow this skill is triggered — by the user, by Claude, or both
Slash command
/archora-research:validationThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Design rigorous experimental protocols to validate research hypotheses.
Structures biological experiments with controls, randomization, blinding, and power analysis to produce valid reproducible results. Uses GLP and Fisher principles.
Designs controlled experiments (A/B, multivariate, quasi) with hypothesis, success metrics, sample size, and statistical power. For validating features via /design-experiment or phrases like 'design experiment'.
Formulates falsifiable hypotheses from observations, operationalizes variables, designs experiments with controls, and defines falsification criteria.
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Design rigorous experimental protocols to validate research hypotheses.
For each hypothesis, produce a complete protocol with:
| Field | Description |
|---|---|
| Design | Experimental design type (RCT, quasi-experimental, longitudinal, in silico, etc.) |
| Independent Variable (IV) | What is manipulated |
| Dependent Variable (DV) | What is measured |
| Controls | Variables held constant |
| Sample Size | N per condition + power analysis (α=0.05, β=0.80, effect size) |
| Timeline | Phase-by-phase schedule |
| Protocol | Step-by-step procedure |
| Expected Outcome | What would confirm vs. refute the hypothesis |
Always include a power analysis. Standard parameters:
Example: 30 simulations per condition (90 total, power analysis: α=0.05, β=0.80, η²=0.25)
# 🧫 Experiment Design
## Strategy Overview
[2–3 sentences: how the experiments collectively test the hypotheses]
## Proposed Experiments
### Experiment 1: [Design Type]
**Tests Hypothesis:** [Exact hypothesis being tested]
| Parameter | Detail |
|-----------|--------|
| **Design** | [Design type] |
| **Sample Size** | [N per condition with power analysis] |
| **Timeline** | [X months: phase breakdown] |
**Independent Variables:** [What is manipulated]
**Dependent Variables:** [What is measured]
**Control Variables:** [What is held constant]
**Protocol:**
1. [Step 1]
2. [Step 2]
...
**Expected Outcome:** [What confirms the hypothesis. What would refute it.]
---
Before finalizing a protocol, consider: