A multi-agent bioinformatics platform for automated RNA-seq, genomics, proteomics, and drug discovery analysis via natural language.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lobsterbio-use
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install lobsterbio-use using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Lobster AI is a sophisticated multi-agent orchestration framework designed for bioinformatics and life sciences research. By integrating this into your Openclaw Skills library, developers can automate complex omics workflows including single-cell RNA-seq, mass spectrometry, and GWAS using simple natural language prompts. The system features 22 specialist agents that handle everything from literature searches on PubMed to advanced machine learning for biomarker discovery, making it an essential tool for modern computational biology.
# Install Lobster AI via pip
pip install 'lobster-ai[full]'
# Initialize the configuration with your preferred LLM provider
lobster init --non-interactive --anthropic-key "$ANTHROPIC_API_KEY" --profile production
# Run a test query to verify installation
lobster query -w ./my_analysis --session-id "test-init" --json "Download GSE109564 and run QC"
| Path | Purpose |
|---|---|
.lobster_workspace/ |
Root directory for workspace data, session state, and outputs. |
.lobster_workspace/.env |
Secure environment file for workspace-scoped credentials (mode 0600). |
provider_config.json |
Configuration file for LLM provider selection and routing. |
Supported Formats |
Handles H5AD, CSV, VCF, PLINK, 10X, and mzML files. |
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A development toolkit for building and extending the Lobster AI multi-agent bioinformatics engine.

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

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