OpenClaw Skills & Use Case Index

ClawIndex is an ecosystem-driven index of OpenClaw skills and real-world use cases.

Index

Skills with input: New data

Browse skills that use this input.

umap-learn - Reduce high-dimensional data with UMAP
dimensionality reduction manifold learning data visualization embedding
★ 1 · Updated 2026-09-29
Apply UMAP for nonlinear dimensionality reduction, visualization, supervised embeddings, and clustering preprocessing.
⚙ Reduce data dimensions ⚙ Create 2D or 3D embeddings ⚙ Tune embedding parameters
umap-learn - Reduce high-dimensional data with UMAP
dimensionality reduction manifold learning embedding visualization
★ 0 · Updated 2026-09-29
Apply UMAP for nonlinear dimensionality reduction, visualization, supervised embeddings, new-data transformation, and clustering preprocessing.
⚙ Reduce data dimensionality ⚙ Visualize low-dimensional embeddings ⚙ Prepare clustering features