probability-theory
From the author
Mathematical foundations of uncertainty and random phenomena. Covers sample spaces, events, axioms, conditional probability, Bayes' theorem, independence, random variables, distributions (discrete and continuous), expected value, variance, the law of large numbers, and the central limit theorem. Use when computing probabilities, reasoning about random events, working with probability distributions, or building the foundation for statistical inference.
Install
npx skills add Tibsfox/gsd-skill-creator --skill probability-theory -a claude-code
Installs to .claude/skills/probability-theory/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
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