Statistics
10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation.From its SKILL.md
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill statisticsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Statistical Analysis — 10 Skills
Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description |
|---|---|
| bayesian-statistics-guide | Bayesian inference methods including prior selection, MCMC, and model comparison |
| data-anomaly-detection | Detect anomalies and outliers in research data using statistical methods |
| hypothesis-testing-guide | Statistical hypothesis testing, power analysis, and significance reporting |
| meta-analysis-guide | Conduct systematic meta-analyses with effect size pooling and heterogeneity |
| ml-experiment-tracker | Plan reproducible ML experiment runs with parameters and metrics tracking |
| modeling-strategy-guide | Strategic statistical modeling, experimentation, and causal inference |
| nonparametric-tests-guide | Apply Mann-Whitney, Kruskal-Wallis, and other nonparametric methods |
| power-analysis-guide | Sample size calculation and statistical power analysis guide |
| sem-guide | Structural equation modeling with latent variables guide |
| survival-analysis-guide | Conduct Kaplan-Meier, Cox regression, and time-to-event analyses |
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.