Scrna cluster
A package manager for your agent skills — one canonical library, loaded on demand, never all at once.
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Cluster single-cell RNA-seq data and annotate cell types. Covers normalization, HVG selection, PCA, neighbors, Leiden clustering, and marker-gene-based annotation. Use when the user has a cell-by-gene matrix and wants cell-type clusters.
SKILL.md
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scRNA clustering
Standard Scanpy clustering + annotation pipeline.
Steps
- Normalize and log1p.
- Select highly variable genes.
- PCA, neighbors graph, Leiden clustering.
- Rank marker genes per cluster, annotate cell types.