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lobster-use

Coordinate 22 Lobster AI agents across 10 packages for bioinformatics analyses.

Updated Apr 9, 2026
Search Tags:#workflow#bioinformatics#data-analysis#single-cell#rna-seq#lobster-ai
One-click install
npx skills add https://github.com/jakechen1/echo-research-framework --skill lobster-use
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lobster-use
Source: https://github.com/jakechen1/echo-research-framework/tree/main/skills-available/lobsterbio-use
Command: npx skills add https://github.com/jakechen1/echo-research-framework --skill lobster-use

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Lobster AI unifies and orchestrates complex bioinformatics workflows by coordinating a suite of specialized agents, reducing manual coordination and enabling scalable analyses across diverse domains such as single-cell RNA-seq, bulk RNA-seq, genomics, proteomics, metabolomics, and literature discovery.

Core Features & Use Cases

  • Orchestrated multi-agent analysis across 22 agents and 10 packages
  • Automated literature search, data loading, QC, clustering, annotation, and visualization
  • Two modes: Orchestrator for programmatic task chaining and Guide for human-directed workflows

Quick Start

Describe a bioinformatics task in natural language to Lobster AI to start an end-to-end bioinformatics workflow.

Frequently Asked Questions about lobster-use

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate end-to-end RNA-seq analysis workflows?▼

Automating RNA-seq analysis is done by describing your task in natural language to coordinate specialized agents for data loading, QC, clustering, and differential expression across single-cell and bulk datasets.

How do I run multi-step bioinformatics analyses without manual coordination?▼

Multi-step bioinformatics analyses run automatically by using an orchestrator mode for programmatic task chaining or a guide mode for human-directed workflows across 22 specialized agents.

Can I use single-cell RNA-seq data for clustering and annotation in an automated workflow?▼

Single-cell RNA-seq data can be processed for automated clustering and annotation by coordinating specialized agents within a configured workspace that supports structured JSON outputs.

What do I need to configure before running genomics and proteomics workflows?▼

Running genomics and proteomics workflows requires a configured workspace, a single LLM provider, and network access for online data sources to execute multi-agent analyses.

Does GWAS and metabolomics data analysis support structured JSON outputs?▼

GWAS and metabolomics data analysis supports structured JSON outputs and includes automated visualization, literature discovery, and workflow export across 10 integrated packages.

What is the best way to export bioinformatics workflow results from automated analyses?▼

Exporting bioinformatics workflow results is handled natively by the system, which generates structured JSON outputs and visualizations after completing tasks like clustering, annotation, and differential expression.

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