Patterns for hierarchical/multilevel Bayesian models including random effects, partial pooling, and centered vs non-centered parameterizations.
安装
npx skills add benchflow-ai/skillsbench --skill hierarchical-modelsnpx skills add benchflow-ai/skillsbench --skill hierarchical-models -a claude-code -gnpx skills add benchflow-ai/skillsbench --skill hierarchical-models -a codex -ggemini skills install https://github.com/benchflow-ai/skillsbench.git --path registry/terminal_bench_2.0/full_batch_reviewed/terminal_bench_2_0_bn-fit-modify/environment/skills/hierarchical-modelsgh skill install benchflow-ai/skillsbench hierarchical-modelsgit clone --depth 1 https://github.com/benchflow-ai/skillsbench /tmp/benchflow-ai__skillsbench
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/benchflow-ai__skillsbench/registry/terminal_bench_2.0/full_batch_reviewed/terminal_bench_2_0_bn-fit-modify/environment/skills/hierarchical-models ~/.claude/skills/hierarchical-models # Claude Code
cp -R /tmp/benchflow-ai__skillsbench/registry/terminal_bench_2.0/full_batch_reviewed/terminal_bench_2_0_bn-fit-modify/environment/skills/hierarchical-models ~/.agents/skills/hierarchical-models # Codex, Cursor, Gemini CLI, Copilot, OpenCode