Agent skill

cdr3aaphyschem

Analyzes physicochemical properties of CDR3 amino acid sequences to understand biochemical characteristics of T-cell receptor repertoires. Performs regression analysis between two cell groups at different CDR3 lengths for each physicochemical feature (hydrophobicity, volume, isoelectric point, etc.).

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill cdr3aaphyschem --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/analysis/cdr3aaphyschem/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

# CDR3AAPhyschem Process Configuration ## Purpose Analyzes physicochemical properties of CDR3 amino acid sequences to understand biochemical characteristics of T-cell receptor repertoires. Performs regression analysis between two cell groups at different CDR3 lengths for each physicochemical feature (hydrophobicity, volume, isoelectric point, etc.). ## When to Use - To analyze CDR3 biochemical properties differences between cell groups (e.g., Treg vs Tconv) - For feature engineering in TCR machine learning models - To identify sequence features that distinguish cell subsets - After `ScRepCombiningExpression` (requires combined TCR + RNA data) - When investigating T cell fate determination (regulatory vs conventional T cells) ## Configuration Structure ### Process Enablement ```toml [CDR3AAPhyschem] cache = true ``` ### Input Specification ```toml [CDR3AAPhyschem.in] scrfile = ["ScRepCombiningExpression"] ``` - `scrfile`: Output from `ScRepCombiningExpression` (RDS or qs/qs2 format) - Must contain both TRA and TRB chains - Generated by `scRepertoire::combineExpression()` ### Environment Variables ```toml [CDR3AAPhyschem.envs] # Group comparison specification group = "CellType" compa

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. Configuration Examples
  8. Minimal Configuration
  9. Standard Treg vs Tconv Analysis
  10. Multi-Sample Analysis
  11. Custom Group Definition
  12. Physicochemical Properties
  13. Available Properties
  14. Property Calculation Methods
Ships with 1 file
  • metadata.json
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About this skill
What does the cdr3aaphyschem skill do?

Analyzes physicochemical properties of CDR3 amino acid sequences to understand biochemical characteristics of T-cell receptor repertoires. Performs regression analysis between two cell groups at different CDR3 lengths for each physicochemical feature (hydrophobicity, volume, isoelectric point, etc.).

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill cdr3aaphyschem --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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