Statistical Analysis — 10 Skills

SkillMedia

10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Statistical Analysis skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/43-wentorai-research-plugins/skills/analysis/statistics/SKILL.md and read by ahel’s review.

Select the skill matching the user's need, then read its SKILL.md.

SkillDescription
bayesian-statistics-guideBayesian inference methods including prior selection, MCMC, and model comparison
data-anomaly-detectionDetect anomalies and outliers in research data using statistical methods
hypothesis-testing-guideStatistical hypothesis testing, power analysis, and significance reporting
meta-analysis-guideConduct systematic meta-analyses with effect size pooling and heterogeneity
ml-experiment-trackerPlan reproducible ML experiment runs with parameters and metrics tracking
modeling-strategy-guideStrategic statistical modeling, experimentation, and causal inference
nonparametric-tests-guideApply Mann-Whitney, Kruskal-Wallis, and other nonparametric methods
power-analysis-guideSample size calculation and statistical power analysis guide
sem-guideStructural equation modeling with latent variables guide
survival-analysis-guideConduct Kaplan-Meier, Cox regression, and time-to-event analyses

Signals

GitHub stars
4k
Forks
531
Last commit
Sep 2026
Advanced
Item type
skill
Key
statistics-skills
Source
github.com/brycewang-stanford/auto-empirical-research-skills