LabClaw: 240 Production-Ready Skills for Biomedical AI Research

Mar 19, 2026

What is LabClaw?

LabClaw is a skill library of 240 production-ready SKILL.md files for biomedical AI workflows. Created by researchers at Stanford (Le Cong Lab) and Princeton (Mengdi Wang Lab), it covers biology, drug discovery, clinical research, literature search, and scientific visualization.

Unlike monolithic software, LabClaw is modular — install the full collection or cherry-pick only the skill folders relevant to your research.

3-Second Quick Start

Just send this to OpenClaw:

install https://github.com/wu-yc/LabClaw

That's it. All 240 skills are now available in your agent workspace.

The 7 Domains

DomainSkillsFocus
Biology & Life Sciences86Bioinformatics, single-cell, genomics, proteomics, multi-omics, databases
Pharmacy & Drug Discovery36Cheminformatics, molecular ML, docking, target research, pharmacology
General & Data Science54Statistics, machine learning, scientific writing, quality control
Literature & Search33Academic search, biomedical databases, patents, grants, citations
Medical & Clinical22Clinical trials, precision medicine, oncology, medical imaging
Vision & XR5Hand tracking, 3D pose estimation, segmentation
Visualization4matplotlib, seaborn, plotly, publication-ready figures

Representative Workflows

Single-cell and Spatial Omics

Use skills like anndata, scanpy, and tooluniverse-spatial-transcriptomics to go from raw data to publication-ready spatial analysis:

You: Analyze my Visium spatial data and identify tissue domains.

Agent: [Uses scanpy skill for preprocessing]
       [Uses spatial-transcriptomics skill for domain identification]
       Found 8 distinct spatial domains. Generating publication figure...

Drug Discovery Pipeline

Combine rdkit, diffdock, and tooluniverse-drug-repurposing for molecular design:

You: Find candidate molecules for EGFR inhibition and predict binding poses.

Agent: [Uses rdkit skill for molecular filtering]
       [Uses diffdock skill for docking simulation]
       Top 3 candidates with predicted binding affinities...

Literature Review

Use pubmed-search, citation-management, and scientific-writing to accelerate reviews:

You: Find recent papers on CAR-T cell therapy for solid tumors
     and write a summary paragraph.

Agent: [Searches PubMed, retrieves 47 papers from 2025-2026]
       [Summarizes top 10 by impact factor]
       [Generates citation-ready paragraph]

Skill Format

Every SKILL.md follows a consistent structure:

# Skill Name
## Overview        — what this skill enables
## When to Use     — trigger conditions for the AI agent
## Key Capabilities — specific tools, APIs, parameters
## Usage Examples  — concrete code or workflow examples

This standardized format means any OpenClaw-compatible agent can immediately understand and use each skill.

Key Skills by Domain

Biology (86 skills)

Includes: scanpy, anndata, biopython, tooluniverse-genomics, tooluniverse-proteomics, tooluniverse-spatial-transcriptomics, tooluniverse-single-cell, and many more.

Drug Discovery (36 skills)

Includes: rdkit, diffdock, tooluniverse-drug-repurposing, tooluniverse-molecular-generation, chembl-database, drugbank-database, and more.

Literature (33 skills)

Includes: pubmed-search, google-scholar, arxiv-search, citation-management, scientific-writing, patent-search, grant-writing, and more.

ProjectConnection
OpenClawThe runtime that loads LabClaw skills
ToolUniverseHarvard AI-scientist tool ecosystem — many tooluniverse-* skills in LabClaw
BiomniStanford biomedical AI agent — LabClaw includes a biomni skill