Umap Learn
k-dense-ai/scientific-agent-skillsUMAP is a tool that helps you see patterns in complex data. It reduces many numbers down to two or three dimensions so you can plot them on a graph. This makes finding clusters or trends much easier.
You can use UMAP for many tasks like data visualization, preparing data for grouping, or even as part of a machine learning pipeline. It works fast and keeps both small details and big structures in your data.
This skill gives you full control over settings like n_neighbors and min_dist. You can adjust these to get the best view of your data. It follows the same style as Scikit-learn, so it is simple to add to your existing code.
Add Umap Learn skill to your workflow
Global
mkdir -p ~/.claude/skills/umap-learnProject
mkdir -p .claude/skills/umap-learnSource Repository
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