Agent skill

clustermarkersofallcells

Finds marker genes for clusters of ALL cells before T/B cell selection. This process identifies differentially expressed genes across unsupervised clusters to help identify broad cell types (T cells, B cells, Myeloid cells, NK cells, etc.) in mixed immune cell populations.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill clustermarkers-pwwang-immunopipe-041d2eb4 --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/ai-ml/clustermarkers-pwwang-immunopipe-041d2eb4/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

# ClusterMarkersOfAllCells Process Configuration ## Purpose Finds marker genes for clusters of ALL cells before T/B cell selection. This process identifies differentially expressed genes across unsupervised clusters to help identify broad cell types (T cells, B cells, Myeloid cells, NK cells, etc.) in mixed immune cell populations. ## When to Use - **After `SeuratClusteringOfAllCells`**: Runs on all cells before T/B selection - **Before `TOrBCellSelection`**: Provides markers to identify which clusters are T/B cells - **Broad cell type identification**: Distinguish major immune cell types from mixed populations - **Mixed cell populations**: When your data contains T, B, Myeloid, NK, and other cell types - **Initial cell typing**: First-pass identification before detailed annotation - **Data quality check**: Verify expected cell types are present in your data ## Configuration Structure ### Process Enablement ```toml [ClusterMarkersOfAllCells] cache = true ``` ### Input Specification ```toml [ClusterMarkersOfAllCells.in] srtobj = ["SeuratClusteringOfAllCells"] # Accepts output from SeuratClusteringOfAllCells process ``` ### Environment Variables All parameters are inherited from `Clu

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Configuration Structure
  4. Process Enablement
  5. Input Specification
  6. Environment Variables
  7. External References
  8. Seurat FindMarkers Parameters
  9. Enrichment Databases
  10. Configuration Examples
  11. Minimal Configuration
  12. Standard Marker Finding
  13. Common Patterns
  14. Pattern 1: Broad Cell Type Markers
Ships with 1 file
  • metadata.json
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About this skill
What does the clustermarkersofallcells skill do?

Finds marker genes for clusters of ALL cells before T/B cell selection. This process identifies differentially expressed genes across unsupervised clusters to help identify broad cell types (T cells, B cells, Myeloid cells, NK cells, etc.) in mixed immune cell populations.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill clustermarkers-pwwang-immunopipe-041d2eb4 --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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