Supports machine learning in Python with scikit-learn. Applies when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill scikit-learnnpx skills add K-Dense-AI/scientific-agent-skills --skill scikit-learn -a claude-code -gnpx skills add K-Dense-AI/scientific-agent-skills --skill scikit-learn -a codex -ggemini skills install https://github.com/K-Dense-AI/scientific-agent-skills.git --path skills/scikit-learngh skill install K-Dense-AI/scientific-agent-skills scikit-learngit clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills /tmp/K-Dense-AI__scientific-agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/K-Dense-AI__scientific-agent-skills/skills/scikit-learn ~/.claude/skills/scikit-learn # Claude Code
cp -R /tmp/K-Dense-AI__scientific-agent-skills/skills/scikit-learn ~/.agents/skills/scikit-learn # Codex, Cursor, Gemini CLI, Copilot, OpenCode