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lobster-use

Runs bioinformatics analysis with Lobster AI -- single-cell RNA-seq, bulk RNA-seq, genomics (VCF/GWAS), proteomics (mass spec/affinity), metabolomics (LC-MS/GC-MS/NMR), machine learning (feature selection, survival analysis), drug discovery, literature search, dataset discovery, and visualization. Use when working with biological data, omics analysis, or bioinformatics tasks. Covers: H5AD, CSV, VCF, PLINK, 10X, mzML formats, GEO/SRA/PRIDE/MetaboLights accessions. TRIGGER PHRASES: "analyze cells", "search PubMed", "download GEO", "run QC", "cluster", "find markers", "differential expression", "UMAP", "volcano plot", "single-cell", "RNA-seq", "VCF", "GWAS", "proteomics", "mass spec", "metabolomics", "MetaboLights", "LC-MS", "metabolite", "feature selection", "survival analysis", "biomarker", "bioinformatics", "drug discovery", "pharmacogenomics", "variant annotation" ASSUMES: Lobster is installed and configured. For setup issues, tell user to run `lobster config-test` and fix any errors before proceeding.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/cewinharhar/lobsterbio-use
Or

Lobster AI Usage Guide

Lobster AI is a multi-agent bioinformatics platform. Users describe analyses in natural language -- Lobster routes to 22 specialist agents across 10 packages automatically.

Requirements

  • Binaries: lobster CLI (pip install lobster-ai), Python 3.12+
  • Credential: Exactly ONE LLM provider key as env var (not all — pick one):
    • ANTHROPIC_API_KEY | GOOGLE_API_KEY | OPENAI_API_KEY | OPENROUTER_API_KEY
    • AWS_ACCESS_KEY_ID + AWS_SECRET_ACCESS_KEY (Bedrock — both required)
    • AZURE_AI_ENDPOINT + AZURE_AI_CREDENTIAL (Azure — both required)
    • Ollama: no key needed (local models)
  • Optional: NCBI_API_KEY for faster PubMed/GEO
  • Writes: .lobster_workspace/ (data, credentials in .env mode 0600, outputs)
  • Global config (--global flag, NOT default): ~/.config/lobster/ — avoid unless needed
  • Network: LLM provider API + public bio databases (GEO, SRA, PRIDE, MetaboLights)

Docs Discovery

The docs site at docs.omics-os.com exposes LLM-friendly raw markdown:

RouteUse
/llms.txtIndex of all pages (title + URL + description)
/llms-full.txtFull content dump of all free pages
/raw/docs/{slug}.mdRaw markdown for a specific page

Workflow: Fetch /llms.txt first to discover slugs, then fetch individual pages via /raw/docs/{slug}.md.

Example: https://docs.omics-os.com/raw/docs/tutorials/single-cell-rnaseq.md

Two Modes

This skill supports coding agents in two modes:

Orchestrator -- The agent calls lobster query --json --session-id programmatically, parses structured output, and chains multi-step analyses. See agent-patterns.md.

Guide -- The agent teaches a human user what to type in lobster chat or lobster query. See the routing table below for which docs page to fetch.

Quick Start

# Install (PyPI -- preferred)
pip install 'lobster-ai[full]'
# or: uv tool install 'lobster-ai[full]'

# Configure (uses env var -- never pass raw keys on command line)
lobster init --non-interactive --anthropic-key "$ANTHROPIC_API_KEY" --profile production

# Run analysis (always pass -w and --session-id together)
lobster query -w ./my_analysis --session-id "proj" --json "Download GSE109564 and run QC"

# Inspect workspace (no tokens burned, ~300ms)
lobster command data --json -w ./my_analysis

Source: github.com/the-omics-os/lobster | PyPI: pypi.org/project/lobster-ai

Routing Table

Metadata

Stars3917
Views1
Updated2026-04-08
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-cewinharhar-lobsterbio-use": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.

Related Skills

lobster-use

Analyze biological data using Lobster AI — single-cell RNA-seq, bulk RNA-seq, literature mining, dataset discovery, quality control, and visualization. USE THIS SKILL WHEN: - Analyzing single-cell or bulk RNA-seq data - Searching PubMed/GEO for papers or datasets - Running quality control on biological data - Clustering cells, finding markers, differential expression - Creating publication-quality visualizations - Working with H5AD, CSV, 10X, GEO/SRA accessions TRIGGER PHRASES: "analyze cells", "search PubMed", "download GEO", "run QC", "cluster", "find markers", "differential expression", "UMAP", "volcano plot", "single-cell", "RNA-seq", "bioinformatics" ASSUMES: Lobster is installed and configured. For setup issues, tell user to run `lobster config-test` and fix any errors before proceeding.

cewinharhar 3917

lobster-dev

Develop, extend, and contribute to Lobster AI — the multi-agent bioinformatics engine. Use when working on Lobster codebase, creating agents/services, understanding architecture, fixing bugs, adding features, or contributing to the open-source project. Trigger phrases: "add agent", "create service", "extend lobster", "contribute", "understand architecture", "how does X work in lobster", "fix bug", "add feature", "write tests", "lobster development", "agent development", "bioinformatics code"

cewinharhar 3917

lobster-dev

Develop, extend, and contribute to Lobster AI — the multi-agent self-extending bioinformatics engine. Use when working on Lobster codebase, creating agents/services, understanding architecture, fixing bugs, adding features, or contributing to the open-source project. IMPORTANT: Before creating new agents or packages, follow the planning workflow first (see "What To Do Based On Your Task" → planning-workflow.md). Trigger phrases: "add agent", "create service", "extend lobster", "contribute", "understand architecture", "how does X work in lobster", "fix bug", "add feature", "write tests", "lobster development", "agent development", "bioinformatics code", "build a new agent for", "add support for", "create plugin", "new domain"

cewinharhar 3917