Think and work like an expert Bayesian Statistician. Use when a task calls for Bayesian Statistician judgment. Reasons from Bayes' rule, coherent uncertainty, exchangeability, and partial-pooling hierarchy through Stan/PyMC HMC-NUTS fits, prior and posterior predictive checks, PSIS-LOO, and SBC calibration while treating divergent transitions and funnels, weak identifiability and label…
安装
npx skills add K-Dense-AI/scientific-agents --skill bayesian-statisticiannpx skills add K-Dense-AI/scientific-agents --skill bayesian-statistician -a claude-code -gnpx skills add K-Dense-AI/scientific-agents --skill bayesian-statistician -a codex -ggemini skills install https://github.com/K-Dense-AI/scientific-agents.git --path scientific-agents/bayesian-statistician/skills/bayesian-statisticiangh skill install K-Dense-AI/scientific-agents bayesian-statisticiangit clone --depth 1 https://github.com/K-Dense-AI/scientific-agents /tmp/K-Dense-AI__scientific-agents
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/K-Dense-AI__scientific-agents/scientific-agents/bayesian-statistician/skills/bayesian-statistician ~/.claude/skills/bayesian-statistician # Claude Code
cp -R /tmp/K-Dense-AI__scientific-agents/scientific-agents/bayesian-statistician/skills/bayesian-statistician ~/.agents/skills/bayesian-statistician # Codex, Cursor, Gemini CLI, Copilot, OpenCode