npx skills add a5c-ai/babysitter --skill stan-bayesian-modeling --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.
# Stan Bayesian Modeling ## Purpose Provides Stan probabilistic programming capabilities for Bayesian inference and statistical modeling. ## Capabilities - Stan model specification - MCMC sampling (NUTS, HMC) - Variational inference - Prior predictive checks - Posterior predictive checks - Model comparison (LOO-CV, WAIC) ## Usage Guidelines 1. **Model Specification**: Write Stan code with clear blocks 2. **Prior Selection**: Choose appropriate, weakly informative priors 3. **Diagnostics**: Check Rhat, ESS, and divergences 4. **Model Comparison**: Use LOO-CV for model selection ## Tools/Libraries - Stan - CmdStan - RStan - PyStan
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the stan-bayesian-modeling skill do?
Stan probabilistic programming for Bayesian inference
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill stan-bayesian-modeling --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.