Agent skill · Data & Analytics

cellcellcommunication

Infer ligand-receptor interactions and cell-cell communication networks from single-cell RNA-seq data using the LIANA+ framework. Identifies potential signaling events between cell types based on gene expression patterns and curated ligand-receptor interaction databases.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill cellcellcommunication --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/ai-ml/cellcellcommunication/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

# CellCellCommunication Process Configuration ## Purpose Infer ligand-receptor interactions and cell-cell communication networks from single-cell RNA-seq data using the LIANA+ framework. Identifies potential signaling events between cell types based on gene expression patterns and curated ligand-receptor interaction databases. ## When to Use - To identify ligand-receptor interactions between cell types - For systematic analysis of cell-cell communication networks - To understand cell crosstalk and signaling pathways - To compare communication patterns across biological conditions - To identify key signaling mediators in tissue microenvironments ## Configuration Structure ### Process Enablement ```toml [CellCellCommunication] cache = true ``` ### Input Specification ```toml [CellCellCommunication.in] sobjfile = ["path/to/seurat_object.rds"] # Seurat (.rds, .h5seurat) or AnnData (.h5ad) ``` ### Environment Variables ```toml [CellCellCommunication.envs] # Method selection method = "cellchat" # Default inference method # Cell type grouping groupby = "ident" # Column name for cell type labels (default: Seurat ident) # Species selection species = "human" # "human" or "mouse" # Filtering

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. Available Inference Methods
  8. LIANA+ Resources
  9. Species-Specific Resources
  10. Available Resources (override with resourcename)
  11. Configuration Examples
  12. Minimal Configuration
  13. Human PBMC Analysis
  14. Mouse Tissue Analysis
Ships with 1 file
  • metadata.json
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About this skill
What does the cellcellcommunication skill do?

Infer ligand-receptor interactions and cell-cell communication networks from single-cell RNA-seq data using the LIANA+ framework. Identifies potential signaling events between cell types based on gene expression patterns and curated ligand-receptor interaction databases.

How do I install it?

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