anndata

8.7

198

265

This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.

genomics

8.7

Rating

Installs

Data & Analytics

Quick Review

Excellent skill for working with AnnData objects in single-cell genomics. The description clearly identifies when to use this skill (AnnData objects, h5ad files, single-cell RNA-seq). SKILL.md provides comprehensive coverage with quick start examples, core capabilities overview, and references to detailed documentation files. Task knowledge is outstanding with complete working examples for common workflows (single-cell analysis, batch integration, large datasets), concrete code snippets, and troubleshooting guidance. Structure is well-organized with a clear overview and proper delegation of detailed content to reference files. Novelty is strong: while a CLI agent could theoretically handle basic Python tasks, the domain-specific knowledge about AnnData internals, scverse ecosystem integration, memory-efficient practices (sparse matrices, backed mode, categoricals), and specialized workflows (batch integration, quality control pipelines) would require extensive trial-and-error and many tokens. This skill meaningfully reduces complexity for biological data analysis tasks.