bayesian-methods
From the author
Bayesian approach to statistical inference and decision-making. Covers prior specification, likelihood functions, posterior computation, conjugate priors, Markov chain Monte Carlo (MCMC), credible intervals, Bayesian hypothesis comparison (Bayes factors), hierarchical models, and the philosophical contrast with frequentist methods. Use when updating beliefs with data, specifying priors, computing posteriors, comparing Bayesian and frequentist approaches, or building hierarchical models.
Install
npx skills add Tibsfox/gsd-skill-creator --skill bayesian-methods -a claude-code
Installs to .claude/skills/bayesian-methods/ · Each command fetches the skill straight from GitHub with the open skills CLI.
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aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
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