tooluniverse-single-cell Guide
Single-cell RNA-seq analysis with scanpy/anndata — h5ad data loading, QC (mitochondrial fraction, doublets), normalization, dimensionality reduction (PCA, UMAP, t-SNE), clustering (Leiden, Louvain), marker gene identification, cell-type annotation, pseudotime/trajectory analysis. Use for any scRNA-seq workflow.
When to use tooluniverse-single-cell
Single-cell RNA-seq analysis with scanpy/anndata — h5ad data loading, QC (mitochondrial fraction, doublets), normalization, dimensionality reduction (PCA, UMAP, t-SNE), clustering (Leiden, Louvain), marker gene identification, cell-type annotation, pseudotime/trajectory analysis. Use for any scRNA-seq workflow.
How to use tooluniverse-single-cell
tooluniverse-single-cell is a Claude skill in the SKILL.md format. Add it to your Claude environment from the source repository below, then it activates as a user-invocable skill when your task matches its description.