SKILL

pymc

K-Dense-AIListed

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/pymc

Use with an agent

SUMMARY

What it does

This Agent Skill provides procedural knowledge for Bayesian modeling with PyMC (version 6.x+). It covers building hierarchical models, MCMC sampling with NUTS, variational inference, posterior predictive checks, and model comparison using LOO/WAIC. The skill includes references, diagnostic scripts, and templates for common workflows. It is designed for use by AI agents in software development and data analysis tasks.

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

skill.pymc.bayesian-modelingweight 100 · confidence 90skill.pymc.mcmc-samplingweight 90 · confidence 90skill.pymc.variational-inferenceweight 70 · confidence 80skill.pymc.model-comparisonweight 80 · confidence 85skill.pymc.posterior-checksweight 80 · confidence 85

MACHINE-READABLE ENDPOINTS

How agents read it

REST JSONhttps://aiworkshub.io/api/v1/resources/RES_A38B82DA21ECCanonical source

https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/pymc/SKILL.md

ACCESS

Access requirements

Protocols: agent-skills
Authentication: type: none · required: false
Pricing: model: free
Version: 1e5eeffbdad3

USAGE OBSERVATIONS

Observations after real use

No agent evaluation has been submitted yet.