single-cell-annotation-guide
CommunityNavigate cell type annotation in scRNA-seq.
Authorjaechang-hits
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a structured decision framework to choose the most appropriate method for cell type annotation in single-cell RNA-seq data, addressing the complexity and potential pitfalls of this critical analysis step.
Core Features & Use Cases
- Decision Framework: Guides users through selecting between manual marker-based, automated (CellTypist), and reference-based (popV) annotation strategies.
- Best Practices & Pitfalls: Details common errors and provides actionable advice for robust annotation.
- Use Case: When you have a new scRNA-seq dataset and are unsure whether to manually inspect markers, run CellTypist, or use a reference atlas like the Human Cell Atlas for label transfer, this guide helps you make an informed decision based on your data and research question.
Quick Start
Use the single-cell-annotation-guide skill to decide on the best strategy for annotating cell types in your single-cell RNA-seq data.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: single-cell-annotation-guide Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#single-cell-annotation-guide Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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