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llm-agents

arboreto

2.8k starsUpdated 2026-01-03
Compatible with:claude

Description

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed comp

How to Use

  1. Visit the GitHub repository to get the SKILL.md file
  2. Copy the file to your project root or .cursor/rules directory
  3. Restart your AI assistant or editor to apply the new skill

Tags

#arboreto#claude

About arboreto

arboreto is an AI skill in the llm-agents category, designed to help developers and users work more effectively with AI tools. Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed comp

This skill has earned 2,800 stars on GitHub, reflecting strong community adoption and trust. It is compatible with claude.

Key Capabilities

arboreto
claude

Why Use arboreto

Adding arboreto to your AI workflow can significantly enhance your productivity in llm-agents tasks. With pre-defined prompt templates and best practices, this skill helps AI assistants better understand your requirements and deliver more accurate responses.

Whether you use claude, you can easily integrate this skill into your existing development environment.

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