mcpbeat

Pymc Bayesian Modeling

comeonoliver/pymc-bayesian-modeling

Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.

26k tokens
context cost
the whole folder, loaded on every use
9
files
ships runnable scripts
2
copies elsewhere
how many repositories repackaged it
59
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/ComeOnOliver/skillshub --skill pymc-bayesian-modeling

Repackaged in 2 other repositories

same content, different owner
aiskillstore/marketplace open on GitHub →
Microck/ordinary-claude-skills open on GitHub →

How to use it

Copy the folder

Take comeonoliver/pymc-bayesian-modeling from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.