Agent skill · Code Review & Quality

seuratclusterstats

Generates comprehensive cluster statistics and visualizations for Seurat objects, including dimension reduction plots, gene expression visualizations, cluster quality metrics, and clustree diagrams. This process is essential for exploring and validating clustering results.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill seuratclusterstats-pwwang-immunopipe-1faaf4d1 --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/analysis/seuratclusterstats-pwwang-immunopipe-1faaf4d1/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

# SeuratClusterStats Process Configuration ## Purpose Generates comprehensive cluster statistics and visualizations for Seurat objects, including dimension reduction plots, gene expression visualizations, cluster quality metrics, and clustree diagrams. This process is essential for exploring and validating clustering results. ## When to Use - **After**: `SeuratClustering` or `SeuratSubClustering` processes - **Use cases**: - Cluster quality assessment and validation - Visualizing cluster characteristics across dimensions - Comparing marker gene expression between clusters - Assessing cluster stability via clustree plots - Exploring metadata relationships with clusters - **Always enabled** in immunopipe TCR and non-TCR workflows (order = -1, runs early) ## Configuration Structure ### Process Enablement ```toml [SeuratClusterStats] cache = true ``` ### Input Specification ```toml [SeuratClusterStats.in] srtobj = ["SeuratClustering"] ``` **Note**: `srtobj` accepts the output name from `SeuratClustering` or `SeuratSubClustering`. ## Environment Variables ### Global Settings ```toml [SeuratClusterStats.envs] # Mutate metadata before plotting mutaters = {} # Cache feature plots (time-con

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. Global Settings
  8. Clustree Plots
  9. Cluster Statistics (stats)
  10. Gene Count Visualization (ngenes)
  11. Feature Visualization (features)
  12. Dimension Reduction Plots (dimplots)
  13. External References
  14. Plotthis Plot Types
Ships with 1 file
  • metadata.json
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About this skill
What does the seuratclusterstats skill do?

Generates comprehensive cluster statistics and visualizations for Seurat objects, including dimension reduction plots, gene expression visualizations, cluster quality metrics, and clustree diagrams. This process is essential for exploring and validating clustering results.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill seuratclusterstats-pwwang-immunopipe-1faaf4d1 --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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