sunxd3
- 17 skills
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- ▌ Stan · sunxd3 bundleBest practices for writing efficient, clean Stan programs. Covers structure, parameterization, prior/posterior predictive blocks, and pitfalls. Sub-references handle specialized cases.
- ▌ Eda · sunxd3 bundleExploratory data analysis reference for Bayesian modeling — operational EDA procedures (data semantics audit, quality checks, timestamp handling, visualization, modeling handoff) plus a diagnostic test library indexed by data shape.
- ▌ Fit Pipeline · sunxd3 bundleHow a Stan fit becomes the canonical artifacts the workflow audits — sampling defaults, InferenceData construction, convergence and LOO numbers, the file contract — with three runnable reference scripts (posterior fit, prior predictive, fake-data simulation + recovery) to copy and adapt.
- ▌ Orchestration · sunxd3Thin phase driver for the Bayesian workflow — invokes the four bundled workflow scripts (explore, design, develop, report), holds the user gates between phases, persists the ledgers, and keeps the lab notebook. Loaded by the `/bayesian-workflow:run` command.
- ▌ Report Writing · sunxd3 bundleThe writing quality bar for the final report — skim test, narrative arc, number density, figure discipline, detail tiers, and mechanical hygiene. Shared by the whole report pipeline; the critic audits against these rules by name.
- ▌ Analysis Design · sunxd3Methodology for setting up a Bayesian analysis — analysis purpose, validation strategy, domain context, structural questions. Read before specifying any models.
- ▌ Python Environment · sunxd3Reference for the Bayesian workflow Python environment — uv usage, dependencies, script structure conventions, and where the Stan execution recipes live. Assumes the environment has been bootstrapped via `/bayesian-workflow:setup`.
- ▌ Model Critique · sunxd3 bundleThree-part critique methodology for a single fitted Bayesian model — statistical, domain, and framework assessment plus the verdict structure and refinement-suggestion conventions.
- ▌ Artifact Guidelines · sunxd3 bundleStyle and format conventions for subagent artifacts — reports, logs, figures.
- ▌ Validation Protocol · sunxd3Entry/exit contract for workflow subagents — input validation, the completed-work short-circuit, structured returns with audited numeric fields, and the status.json completion record.
- ▌ Fake Data Simulation · sunxd3 bundleMethodology for fake-data simulation — drawing or fixing true parameter values, simulating data from the model, refitting, and checking that inference recovers the parameters. Covers single-draw checks (cheap) and Simulation-Based Calibration (rigorous).
- ▌ Inferencedata Handling · sunxd3ArviZ InferenceData creation from CmdStanPy — variable naming conventions, conversion arguments, common failures.
- ▌ Convergence Diagnostics · sunxd3MCMC convergence diagnostics — thresholds, visual checks, and interpretation of HMC pathologies.
- ▌ Generative Model Design · sunxd3 bundleRequired decisions for complete generative model specifications, the experiment-design discipline behind a resolution sequence, and the cross-cutting modeling principles that apply to every spec.
- ▌ Bayesian Model Selection · sunxd3Comparing model populations via ELPD, decision rules for selection vs stacking, and metric validity
- ▌ Visual Predictive Checks · sunxd3Guidelines for visual predictive checks following Säilynoja et al. recommendations using ArviZ
- ▌ Bayesian Model Diagnostics · sunxd3Interpreting LOO diagnostics, PIT calibration, and Pareto k for single-model evaluation