Agent skill · Data & Analytics

scrna-cell-type-annotator

Auto-annotate cell clusters from single-cell RNA data using marker genes, tissue context, and species-specific reference databases.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill scrna-cell-type-annotator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/analysis/scrna-cell-type-annotator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# ScRNA Cell Type Annotator Automatically annotate cell clusters from scRNA-seq data using marker gene signatures, tissue context, and species-specific references. ## Input Validation This skill accepts: per-cluster marker gene lists from scRNA-seq experiments, with tissue type and species context, for automated cell type annotation. If the request does not involve scRNA-seq cluster annotation — for example, asking to perform bulk RNA-seq DEG analysis, run clustering from raw counts, or interpret proteomics data — do not proceed. Instead respond: > "scrna-cell-type-annotator is designed to annotate cell clusters from single-cell RNA data using marker genes. Your request appears to be outside this scope. Please provide cluster marker lists with tissue and species context, or use a more appropriate tool for your task. For clustering from raw counts, use Seurat or Scanpy preprocessing pipelines." ## When to Use - Post-clustering annotation of Seurat/Scanpy clusters - Novel cell type discovery in unexplored tissues - Cross-study comparison of cell type compositions - Cell atlas construction and harmonization ## Quick Check ```bash python -m py_compile scripts/main.py python scripts/mai

What's inside
Steps it walks through
  1. Input Validation
  2. When to Use
  3. Quick Check
  4. Workflow
  5. Parameters
  6. Marker Database Coverage
  7. Returns
  8. Fallback Template
  9. Output Requirements
  10. Error Handling
  11. Response Template
  12. Risk Assessment
  13. Prerequisites
Ships with 1 file
  • metadata.json
Commands it runs
python -m py_compile scripts/main.py
python scripts/main.py --help
python scripts/main.py --demo
pip install -r requirements.txt
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About this skill
What does the scrna-cell-type-annotator skill do?

Auto-annotate cell clusters from single-cell RNA data using marker genes, tissue context, and species-specific reference databases.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill scrna-cell-type-annotator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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