anndata

8.3

344

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

single-cell

8.3

Rating

Installs

Data & Analytics

Quick Review

Excellent skill for AnnData operations in single-cell genomics. The description clearly defines scope and differentiates from related skills (scanpy, scvi-tools, cellxgene-census). SKILL.md provides comprehensive quick start examples, common workflows, and troubleshooting guidance. The logical structure effectively separates detailed reference materials (data_structure, io_operations, concatenation, manipulation, best_practices) into separate files while maintaining a clear overview. Task knowledge is exceptional with concrete code examples for creation, I/O, subsetting, concatenation, and integration workflows. The skill addresses a specialized bioinformatics need where manual implementation would be token-intensive and error-prone, particularly for format conversions, backed mode operations, and batch concatenation strategies. Minor improvement possible: could add a visual diagram of AnnData structure in the overview. Overall, this is a well-architected skill that enables efficient single-cell data manipulation with clear guidance for CLI agents.