Lobster AI Bioinformatics Skill for Openclaw

A multi-agent bioinformatics platform for analyzing single-cell RNA-seq, bulk RNA-seq, and literature mining through natural language.

cewinharhar
v1.0.1
Feb 13, 2026
0
2.5k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install lobster-bio-use

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install lobster-bio-use using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Lobster AI Bioinformatics Skill?

Lobster AI is a comprehensive multi-agent bioinformatics framework designed to handle the complexities of biological data analysis. By leveraging Openclaw Skills, researchers can interact with specialized agents that automate tasks ranging from raw data quality control to advanced transcriptomic clustering. This skill bridges the gap between sophisticated bioinformatics pipelines and intuitive natural language commands, making high-level data science accessible to biologists and developers alike.

The system utilizes a supervisor agent to coordinate specialist experts in transcriptomics, proteomics, and genomics. Whether you are downloading datasets from GEO or generating publication-quality visualizations, this skill provides a unified interface for the entire research lifecycle, ensuring reproducibility and efficiency in every analysis session.

Lobster AI Bioinformatics Skill Use Cases

  • Analyzing single-cell or bulk RNA-seq data to identify differential gene expression.
  • Searching PubMed and GEO databases to discover relevant biological datasets and literature.
  • Performing automated quality control (QC) and normalization on high-throughput sequencing data.
  • Generating interactive UMAPs, heatmaps, and volcano plots for data interpretation.
  • Running cell type annotation and gene set enrichment analyses within a streamlined workspace.

How Lobster AI Bioinformatics Skill Works

  1. The user starts a session using the CLI to initiate a project workspace.
  2. Natural language queries are processed by the Supervisor agent, which identifies the specific biological task required.
  3. The request is routed to a specialist agent, such as the Data Expert for downloads or the Transcriptomics Expert for clustering.
  4. Specialist agents execute Python-based bioinformatics workflows, interacting with files like H5AD and CSV.
  5. Results, including interactive HTML reports and static plots, are saved to the local workspace for review and export.

Lobster AI Bioinformatics Skill Setup

To integrate this into your environment and use Openclaw Skills effectively, follow these installation steps:

# Install on macOS or Linux
curl -fsSL https://install.lobsterbio.com | bash

# Install via uv for full capability
uv tool install 'lobster-ai[full,anthropic]' && lobster init

# Verify configuration
lobster config-test

Ensure you have configured your API keys during the lobster init phase to enable agent communication.

Lobster AI Bioinformatics Skill Data Schema & Taxonomy

The skill organizes research data within a .lobster_workspace/ directory using the following taxonomy:

File Type Description
.h5ad Processed AnnData objects containing single-cell expression data
.html Interactive visualizations and reports for browser-based review
.png Publication-ready static plots and charts
.csv Tabular data exports, such as marker gene lists and DE results
.json Metadata and session provenance records

Lobster AI Bioinformatics Skill Advanced Features

  • Multi-agent coordination allowing for complex transitions between literature research and data analysis.
  • Session continuity via unique session IDs, enabling users to resume long-running biological analyses.
  • Advanced reasoning mode for deep troubleshooting of complex sequencing datasets.
  • Support for alpha modules in proteomics and genomics, including VCF and GWAS analysis.
  • Extensive slash command library for direct workspace and data management.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*