Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
Install
npx skills add davila7/claude-code-templates --skill pymc-bayesian-modelingnpx skills add davila7/claude-code-templates --skill pymc-bayesian-modeling -a claude-code -gnpx skills add davila7/claude-code-templates --skill pymc-bayesian-modeling -a codex -ggemini skills install https://github.com/davila7/claude-code-templates.git --path cli-tool/components/skills/scientific/pymcgh skill install davila7/claude-code-templates pymc-bayesian-modelinggit clone --depth 1 https://github.com/davila7/claude-code-templates /tmp/davila7__claude-code-templates
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/scientific/pymc ~/.claude/skills/pymc-bayesian-modeling # Claude Code
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/scientific/pymc ~/.agents/skills/pymc-bayesian-modeling # Codex, Cursor, Gemini CLI, Copilot, OpenCode