UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
安装
npx skills add davila7/claude-code-templates --skill umap-learnnpx skills add davila7/claude-code-templates --skill umap-learn -a claude-code -gnpx skills add davila7/claude-code-templates --skill umap-learn -a codex -ggemini skills install https://github.com/davila7/claude-code-templates.git --path cli-tool/components/skills/scientific/umap-learngh skill install davila7/claude-code-templates umap-learngit clone --depth 1 https://github.com/davila7/claude-code-templates /tmp/davila7__claude-code-templates
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/scientific/umap-learn ~/.claude/skills/umap-learn # Claude Code
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/scientific/umap-learn ~/.agents/skills/umap-learn # Codex, Cursor, Gemini CLI, Copilot, OpenCode