Documentation of available data science libraries (scipy, numpy, pandas, sklearn) and best practices for statistical analysis, regression modeling, and organizing analysis scripts. **CRITICAL:** All analysis scripts MUST be placed in reports/{topic}/scripts/, NOT in root scripts/ directory.
Install
npx skills add mikkelkrogsholm/dst-skills --skill data-science-toolsnpx skills add mikkelkrogsholm/dst-skills --skill data-science-tools -a claude-code -gnpx skills add mikkelkrogsholm/dst-skills --skill data-science-tools -a codex -ggemini skills install https://github.com/mikkelkrogsholm/dst-skills.git --path .claude/skills/data-science-toolsgh skill install mikkelkrogsholm/dst-skills data-science-toolsgit clone --depth 1 https://github.com/mikkelkrogsholm/dst-skills /tmp/mikkelkrogsholm__dst-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/mikkelkrogsholm__dst-skills/.claude/skills/data-science-tools ~/.claude/skills/data-science-tools # Claude Code
cp -R /tmp/mikkelkrogsholm__dst-skills/.claude/skills/data-science-tools ~/.agents/skills/data-science-tools # Codex, Cursor, Gemini CLI, Copilot, OpenCode