quantitative-methods
Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python
npx skills add a5c-ai/babysitter --skill quantitative-methods --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Quantitative Methods Skill Design and execute rigorous statistical analyses for social science research using modern analytical tools. ## Overview The Quantitative Methods skill enables design and execution of statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python for rigorous quantitative social science research. ## Capabilities ### Regression Analysis - Linear regression modeling - Logistic and multinomial regression - Panel data methods - Time series analysis - Hierarchical/multilevel modeling ### Hypothesis Testing - Parametric tests - Non-parametric alternatives - Multiple comparison correction - Effect size estimation - Confidence interval construction ### Power Analysis - Sample size determination - Effect size specification - Power calculation - Design optimization - Sensitivity analysis ### Robustness Checking - Specification testing - Outlier analysis - Assumption verification - Alternative estimators - Sensitivity analysis ### Tool Proficiency - R/RStudio workflows - Stata programming - SPSS procedures - Python (statsmodels, scipy) - Output visualization ## Usage Guidelines ### When
- Overview
- Capabilities
- Regression Analysis
- Hypothesis Testing
- Power Analysis
- Robustness Checking
- Tool Proficiency
- Usage Guidelines
- When to Use
- Best Practices
- Integration Points
- References
What does the quantitative-methods skill do?
Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill quantitative-methods --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.