Expert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit-learn, scipy, and PyOD - includes model diagnostics, assumption checking, robust methods, and comprehensive outlier detection strategies
Install
npx skills add benchflow-ai/skillsbench --skill python-regression-statisticsnpx skills add benchflow-ai/skillsbench --skill python-regression-statistics -a claude-code -gnpx skills add benchflow-ai/skillsbench --skill python-regression-statistics -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_distribution-search/environment/skills/python-regression-statisticsgh skill install benchflow-ai/skillsbench python-regression-statisticsgit 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_distribution-search/environment/skills/python-regression-statistics ~/.claude/skills/python-regression-statistics # Claude Code
cp -R /tmp/benchflow-ai__skillsbench/registry/terminal_bench_2.0/full_batch_reviewed/terminal_bench_2_0_distribution-search/environment/skills/python-regression-statistics ~/.agents/skills/python-regression-statistics # Codex, Cursor, Gemini CLI, Copilot, OpenCode