statistical-computing
From the author
Computational tools and algorithms for statistical analysis. Covers simulation, resampling methods (bootstrap, permutation tests), Monte Carlo methods, random number generation, numerical optimization (Newton-Raphson, EM algorithm), cross-validation, and reproducible analysis workflows. Emphasizes the bootstrap revolution and the shift from formula-based to computation-based inference. Use when implementing statistical procedures, running simulations, bootstrapping confidence intervals, performing cross-validation, or building reproducible analysis pipelines.
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npx skills add Tibsfox/gsd-skill-creator --skill statistical-computing -a claude-code
Installs to .claude/skills/statistical-computing/ · Each command fetches the skill straight from GitHub with the open skills CLI.
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