skills/43-wentorai-research-plugins/skills/analysis/statistics/SKILL.md
10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research statistics-skillsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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| 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 |
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".