Agent skill

clonalstats

Generate comprehensive clonality statistics and diversity visualizations for TCR/BCR repertoire analysis. Quantifies clonal expansion, measures diversity metrics (Shannon, Simpson, Gini), and creates publication-ready plots.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill clonalstats-pwwang-immunopipe-2 --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/analysis/clonalstats-pwwang-immunopipe-2/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

# ClonalStats Process Configuration ## Purpose Generate comprehensive clonality statistics and diversity visualizations for TCR/BCR repertoire analysis. Quantifies clonal expansion, measures diversity metrics (Shannon, Simpson, Gini), and creates publication-ready plots. ## When to Use - To quantify clonal expansion patterns in TCR/BCR data - For diversity analysis comparing multiple samples or conditions - To identify hyperexpanded clones and their distribution - For rarefaction analysis to assess sampling depth - After `ScRepCombiningExpression` to analyze integrated TCR+RNA data ## Configuration Structure ### Process Enablement ```toml [ClonalStats] cache = true ``` ### Input Specification ```toml [ClonalStats.in] screpfile = ["ScRepCombiningExpression"] ``` ### Core Environment Variables ```toml [ClonalStats.envs] # Clone definition: "gene" (VDJC), "aa" (CDR3 amino acid), "nt" (CDR3 nucleotide) clone_call = "aa" # Chain analysis: "both", "TRA", "TRB", "TRG", "IGH", "IGL" chain = "both" # Data transformations (dplyr::mutate syntax) mutaters = {} # Data filtering (dplyr::filter syntax) subset = null # Output device parameters devpars = {width = 800, height = 600, res = 100} # Sav

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Configuration Structure
  4. Process Enablement
  5. Input Specification
  6. Core Environment Variables
  7. Case-Based Plot Generation
  8. Diversity Metrics
  9. Visualization Types
  10. Configuration Examples
  11. Minimal Configuration
  12. Standard Diversity Analysis
  13. Expanded Clone Analysis
  14. Rarefaction Analysis
Ships with 1 file
  • metadata.json
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About this skill
What does the clonalstats skill do?

Generate comprehensive clonality statistics and diversity visualizations for TCR/BCR repertoire analysis. Quantifies clonal expansion, measures diversity metrics (Shannon, Simpson, Gini), and creates publication-ready plots.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill clonalstats-pwwang-immunopipe-2 --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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