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universal-single-cell-annotator

4.3

by majiayu000

122Favorites
60Upvotes
0Downvotes

A unified interface for annotating single-cell RNA-seq data using Marker Genes, Deep Learning (CellTypist), or LLMs.

single-cell

4.3

Rating

0

Installs

AI & LLM

Category

Quick Review

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.

LLM Signals

Description coverage6
Task knowledge5
Structure7
Novelty4

GitHub Signals

49
7
1
1
Last commit 0 days ago

Publisher

majiayu000

majiayu000

Skill Author

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Publisher

majiayu000 avatar
majiayu000

Skill Author

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