This handles annotated data matrices in Python, originally built for single-cell genomics but useful for any experimental data with measurements plus metadata. Think of it as a structured container that pairs your main data matrix (X) with observation metadata (obs), variable metadata (var), and multidimensional annotations. The big win is efficient storage with sparse matrices and backed mode for datasets too large for memory, plus native h5ad format that plays nicely with the scanpy ecosystem. If you're working with single-cell RNA-seq or need to wrangle large biological datasets while keeping track of what each row and column actually means, this is the standard tool. The concatenation features are solid for merging multiple batches or samples with different join strategies.
npx skills add https://github.com/davila7/claude-code-templates --skill anndata