Oak Parallax Design Experiment

---
name: oak-parallax-design-experiment
description: Designs, critiques, preregisters, analyses, and learns from prospective experiments across scientific, engineering, policy, operational, and mixed-method contexts. Invoke for experimental design, causal intervention studies, randomisation or controls, estimands, measurement validity, sample size, statistical power or precision, factorial, cluster, sequential, adaptive, quasi-experimental, simulation, or observational design choices. Also invoke when an existing experiment may be biased, underpowered, imprecise, unethical, or misaligned with its decision. Do not invoke for literature review, purely descriptive analysis, or routine product A/B testing when parallax-product-experiment is available; compose both for product experiments needing general design depth.
compatibility: "Requires Python 3.10+ only for the optional structural validator; use the documented manual validation fallback when Python is unavailable."
metadata:
  owned: "true"
  version: "0.1.0"
  collection: "parallax"
---

# Parallax Design Experiment (Claude Code)

Read and follow `.agent/skills/cognition/parallax-design-experiment/SKILL-CANONICAL.md`.