scrna-cell-type-annotator
Auto-annotate cell clusters from single-cell RNA data using marker genes, tissue context, and species-specific reference databases.
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.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Input Validation
- When to Use
- Quick Check
- Workflow
- Parameters
- Marker Database Coverage
- Returns
- Fallback Template
- Output Requirements
- Error Handling
- Response Template
- Risk Assessment
- Prerequisites
python -m py_compile scripts/main.py python scripts/main.py --help python scripts/main.py --demo pip install -r requirements.txt
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.
