Agent skill

topexpressinggenesofallcells

Identifies and visualizes the top expressing genes per cluster across ALL cells (before T/B cell selection), followed by pathway enrichment analysis. Provides initial overview of all cell populations by highlighting the most highly expressed genes and their biological functions.

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill topexpressinggenes --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/ai-ml/topexpressinggenes/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

# TopExpressingGenesOfAllCells Process Configuration ## Purpose Identifies and visualizes the top expressing genes per cluster across ALL cells (before T/B cell selection), followed by pathway enrichment analysis. Provides initial overview of all cell populations by highlighting the most highly expressed genes and their biological functions. ## When to Use - **After**: `SeuratClusteringOfAllCells` process - **Before**: `TOrBCellSelection` (this is a pre-selection analysis) - **Use cases**: - Quick overview of ALL cell populations before separation - Initial assessment of broad cell type signatures - Understanding overall cell composition before T/B selection - Pathway enrichment on cell type markers before detailed analysis - Quality check for unexpected cell types - Complementary to `ClusterMarkersOfAllCells` for complete pre-selection profiling - **Optional process**: Enable only when pre-selection analysis is needed ## Configuration Structure ### Process Enablement ```toml [TopExpressingGenesOfAllCells] cache = true ``` ### Input Specification ```toml [TopExpressingGenesOfAllCells.in] srtobj = ["SeuratClusteringOfAllCells"] ``` **Note**: `srtobj` accepts the output from `SeuratC

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. Core Parameters
  8. Enrichment Plot Settings
  9. Cell Subsetting
  10. Cache Control
  11. Configuration Examples
  12. Minimal Configuration
  13. Top 10 Genes for Broad Cell Type ID
  14. Multiple Databases for Comprehensive Overview
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the topexpressinggenesofallcells skill do?

Identifies and visualizes the top expressing genes per cluster across ALL cells (before T/B cell selection), followed by pathway enrichment analysis. Provides initial overview of all cell populations by highlighting the most highly expressed genes and their biological functions.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill topexpressinggenes --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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