causal-inference-methods
Apply propensity score methods, instrumental variables, difference-in-differences, and regression discontinuity designs for causal identification
Profile →npx skills add a5c-ai/babysitter --skill causal-inference-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.
# Causal Inference Methods Skill Apply advanced econometric and statistical methods for causal identification in observational data. ## Overview The Causal Inference Methods skill enables application of propensity score methods, instrumental variables, difference-in-differences, regression discontinuity designs, and other quasi-experimental approaches for causal identification in observational social science data. ## Capabilities ### Propensity Score Methods - Score estimation - Matching algorithms - Inverse probability weighting - Doubly robust estimation - Balance assessment ### Instrumental Variables - Instrument identification - Relevance testing - Exclusion restriction - Two-stage estimation - Weak instrument diagnosis ### Difference-in-Differences - Parallel trends assessment - Treatment effect estimation - Staggered adoption designs - Heterogeneous effects - Robustness checks ### Regression Discontinuity - Sharp RD design - Fuzzy RD design - Bandwidth selection - Local polynomial estimation - Validity testing ### Design Considerations - Identification strategy - Assumption testing - Sensitivity analysis - Effect heterogeneity - Interpretation limits ## Usage Guidelines ### W
- Overview
- Capabilities
- Propensity Score Methods
- Instrumental Variables
- Difference-in-Differences
- Regression Discontinuity
- Design Considerations
- Usage Guidelines
- When to Use
- Best Practices
- Integration Points
- References
What does the causal-inference-methods skill do?
Apply propensity score methods, instrumental variables, difference-in-differences, and regression discontinuity designs for causal identification
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill causal-inference-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.