performing-causal-analysis
Fits causal models, estimates impacts, and plots results using CausalPy. Use when performing analysis with DiD, ITS, SC, or RD.
Profile →npx skills add majiayu000/claude-skill-registry --skill performing-causal-analysis-foryourhealth111-pix-vibe-skills --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.
# Performing Causal Analysis Executes causal analysis using CausalPy experiment classes. ## Workflow 1. **Load Data**: Ensure data is in a Pandas DataFrame. 2. **Initialize Experiment**: Use the appropriate class (see References). 3. **Fit & Model**: Models are fitted automatically upon initialization if arguments are provided. 4. **Analyze Results**: Use `summary()`, `print_coefficients()`, and `plot()`. ## Core Methods * `experiment.summary()`: Prints model summary and main results. * `experiment.plot()`: Visualizes observed vs. counterfactual. * `experiment.print_coefficients()`: Shows model coefficients. ## References Detailed usage for specific methods: * [Difference-in-Differences](reference/diff_in_diff.md) * [Interrupted Time Series](reference/interrupted_time_series.md) * [Synthetic Control](reference/synthetic_control.md)
- Workflow
- Core Methods
- References
What does the performing-causal-analysis skill do?
Fits causal models, estimates impacts, and plots results using CausalPy. Use when performing analysis with DiD, ITS, SC, or RD.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill performing-causal-analysis-foryourhealth111-pix-vibe-skills --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 majiayu000/claude-skill-registry, a repository with 534 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.