A unified interface for annotating single-cell RNA-seq data using Marker Genes, Deep Learning (CellTypist), or LLMs.
4.3
Rating
0
Installs
AI & LLM
Category
The skill provides a clear unified interface for single-cell annotation with good structural organization and reasonable description coverage. However, it lacks complete implementation details for all three promised methods (only marker-based is shown), missing key information like CellTypist integration specifics, LLM prompting strategy, output formats, and error handling. The novelty is moderate - while unifying multiple approaches is useful, marker-based and CellTypist methods are straightforward wrappers. The description is clear enough for basic invocation but an agent would need more details about method parameters, expected outputs, and how to switch between strategies. The skill would benefit from showing complete examples of all three annotation methods and more implementation guidance.
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