// A clear description of what this skill does and when to use it. Include specific trigger keywords and task types that should activate this skill. Be specific about capabilities so the AI can decide when to load it. Maximum 1024 characters.
| name | skill-name |
| description | A clear description of what this skill does and when to use it. Include specific trigger keywords and task types that should activate this skill. Be specific about capabilities so the AI can decide when to load it. Maximum 1024 characters. |
| license | MIT |
| compatibility | Claude Code, OpenCode, Gemini CLI, Cursor, VS Code Copilot |
| metadata | {"author":"Your Name","version":"1.0"} |
Brief overview of what this skill enables and why it's useful.
Use this skill when:
# Minimal working example
import example_package
# Basic usage pattern
result = example_package.do_something()
Explanation of the first key concept...
# Code example demonstrating concept 1
Explanation of the second key concept...
# Code example demonstrating concept 2
# Reusable pattern for common task A
# Reusable pattern for common task B
| Issue | Cause | Solution |
|---|---|---|
| Problem 1 | Why it happens | How to fix it |
| Problem 2 | Why it happens | How to fix it |
For detailed information on specific topics, see:
Bayesian statistical modeling with PyMC v5+. Use when building probabilistic models, specifying priors, running MCMC inference, diagnosing convergence, or comparing models. Covers PyMC, ArviZ, pymc-bart, pymc-extras, nutpie, and JAX/NumPyro backends. Triggers on tasks involving: Bayesian inference, posterior sampling, hierarchical/multilevel models, GLMs, time series, Gaussian processes, BART, mixture models, prior/posterior predictive checks, MCMC diagnostics, LOO-CV, WAIC, model comparison, or causal inference with do/observe.
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.