designing-experiments
This Claude Code skill guides users through selecting appropriate quasi-experimental designs before data collection or analysis begins. Use it when deciding between Difference-in-Differences, Interrupted Time Series, or Synthetic Control methods; defining treatment and control structures; specifying measured outcomes; documenting required assumptions; or planning validation experiments after failed studies.
git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills /tmp/designing-experiments && cp -r /tmp/designing-experiments/bundled/skills/designing-experiments ~/.claude/skills/designing-experimentsSKILL.md
# Designing Experiments
Helps choose and specify a research design before data analysis starts. This skill owns study-design decisions: what is treated, what is compared, what outcome is measured, which assumptions are required, which validation or recovery experiment should follow a failed scientific experiment, and which design is defensible.
It does not fit causal models, estimate treatment effects, interpret fitted model output from existing data, or debug software/build failures.
## Decision Framework
1. **Control Group?**
* **Yes**: Go to Step 2.
* **No**: Consider **Interrupted Time Series (ITS)**.
2. **Unit Structure?**
* **Single Treated Unit**:
* With multiple controls: **Synthetic Control (SC)**.
* No controls: **ITS**.
* **Multiple Treated Units**:
* With control group: **Difference-in-Differences (DiD)**.
3. **Time Structure?**
* **Panel Data** (Multiple units over time): Required for DiD and SC.
* **Time Series** (Single unit over time): Required for ITS.
## Method Quick Reference
* **Difference-in-Differences (DiD)**: Compares trend changes between treated and control groups. Assumes **Parallel Trends**.
* **Interrupted Time Series (ITS)**: Analyzes trend/level change for a single unit after intervention. Assumes **Trend Continuity**.
* **Synthetic Control (SC)**: Constructs a synthetic counterfactual from weighted control units. Assumes **Convex Hull** (treated unit within range of controls).
## Failed Experiment Recovery
When a scientific experiment or optimization plan produces weak or contradictory results, use the same design surface to:
* Separate implementation or measurement errors from design-assumption failures.
* Identify which assumption should be tested next.
* Define a minimal validation experiment before abandoning the approach.
* State the decision rule for continuing, revising, or stopping the line of work.Vibe Code Orchestrator (VCO) is a governed runtime entry that freezes requirements, plans XL-first execution, and enforces verification and phase cleanup.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
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