Agent skill

topexpressinggenes

Identifies and visualizes the top expressing genes per cluster in T/B cells, followed by pathway enrichment analysis. Provides quick cluster characterization 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-pwwang-immunopipe-9c464846 --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/ai-ml/topexpressinggenes-pwwang-immunopipe-9c464846/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

# TopExpressingGenes Process Configuration ## Purpose Identifies and visualizes the top expressing genes per cluster in T/B cells, followed by pathway enrichment analysis. Provides quick cluster characterization by highlighting the most highly expressed genes and their biological functions. ## When to Use - **After**: `SeuratClustering` and `TOrBCellSelection` processes - **Use cases**: Quick cluster characterization, identifying dominant gene programs, pathway enrichment - **Optional process**: Enable only when cluster-level expression profiling is needed ## Configuration Structure ### Process Enablement ```toml [TopExpressingGenes] cache = true ``` ### Input Specification ```toml [TopExpressingGenes.in] srtobj = ["SeuratClustering"] ``` **Note**: `srtobj` accepts the output from `SeuratClustering` or `SeuratSubClustering`. ## Environment Variables ### Core Parameters ```toml [TopExpressingGenes.envs] # Number of top expressing genes to identify per cluster n = 250 # Enrichment style enrich_style = "enrichr" # Options: "enrichr", "clusterprofiler" # Enrichment databases dbs = ["KEGG_2021_Human", "MSigDB_Hallmark_2020"] ``` ### Enrichment Plot Settings ```toml [TopExpressingGenes.e

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. Configuration Examples
  10. Minimal Configuration
  11. Top 10 Genes with Custom Databases
  12. Network Visualization
  13. Common Patterns
  14. Pattern 1: Quick Cluster Overview
Ships with 1 file
  • metadata.json
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About this skill
What does the topexpressinggenes skill do?

Identifies and visualizes the top expressing genes per cluster in T/B cells, followed by pathway enrichment analysis. Provides quick cluster characterization 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-pwwang-immunopipe-9c464846 --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.

Keep going