Loads internal CausalPy example datasets. Use when the user needs example data or asks about available demos.

Performs placebo-in-time sensitivity analysis to validate causal claims. Use when checking model robustness, verifying lack of pre-intervention effects, or ensuring observed effects are not spurious.

Create git commits for changes made during the session.

Structure a research based on the user request. Identify what must change in order to complete the task.