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pymc-labs AI Skills

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Browse published AI skills maintained by pymc-labs. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

8

Repository stars across indexed skills

5,526

Repository forks

476

Average repository stars per indexed skill

691

Repository stars may repeat across skills from the same repository.

8 skills

Browse skills

GitHub

working-with-marimo

pymc-labs

Interactive development in marimo notebooks with validation loops. Use for creating/editing marimo notebooks and verifying execution.

GitHub

loading-datasets

pymc-labs

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

GitHub

designing-experiments

pymc-labs

Selects the appropriate quasi-experimental method (DiD, ITS, SC) based on data structure and research questions. Use when the user is unsure which method to apply.

GitHub

running-placebo-analysis

pymc-labs

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.

GitHub

skill-name

pymc-labs

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...

GitHub

pymc-modeling

pymc-labs

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-e...

GitHub

marimo-notebooks

pymc-labs

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 Ju...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.