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LabClaw

๐Ÿฆž Claw for

Stanford University Princeton University

At a Glance

206
Skills
73
Biology
36
Pharma
20
Medicine
48
Data Sci

Five Domains of Biomedical AI + XR

206 agentic skills spanning the full biomedical stack โ€” from single-cell sequencing pipelines to XR-assisted surgical intelligence, each composable into autonomous research workflows.

๐Ÿงฌ
73

Biology & Life Sciences

Bioinformatics, single-cell, genomics, proteomics, multi-omics, structural biology.

๐Ÿ’Š
36

Pharmacy & Drug Discovery

Cheminformatics, molecular ML, docking, target discovery, pharmacovigilance.

๐Ÿฅ
20

Medical & Clinical

Clinical trials, precision medicine, oncology, rare disease diagnosis, imaging.

โš™๏ธ
48

General & Data Science

Statistics, ML, data management, scientific visualization, reproducibility.

๐Ÿ“š
29

Literature & Search

Academic search, biomedical databases, patents, grants, citation management.

Skill Format

Overview โ†’ When to Use โ†’ Capabilities โ†’ Examples

XR-ASSISTED BIOMEDICAL RESEARCH

Representative Workflows

Each workflow chains multiple skills into end-to-end research automation.

Single-cell & Spatial Omics

anndata scanpy tooluniverse-spatial-transcriptomics

Drug Discovery & Design

rdkit diffdock tooluniverse-drug-repurposing

Clinical & Precision Medicine

clinical tooluniverse-precision-oncology clinicaltrials-database

Statistics, ML & Figures

statistics scikit-learn scientific-visualization

Literature Review & Reporting

pubmed-search citation-management scientific-writing

One Message to Install Everything

Just send a message to your OpenClaw agent โ€” it will automatically fetch and install LabClaw's full skill library into your workspace.

OpenClaw
# Just send this message to OpenClaw:
install https://github.com/wu-yc/LabClaw
LabClaw Installation Demo

LabClaw as Your Always-On Lab Agent

Deploy LabClaw as a persistent autonomous agent that never sleeps. It continuously monitors instrument feeds, interprets multimodal signals, and triggers agentic responses โ€” all without human intervention.

โšก Real-Time Inference ๐Ÿ”ฌ Multimodal Perception ๐Ÿค– Agentic Response ๐Ÿ›ก Anomaly Detection

LIVE ยท Continuous Experiment Monitoring

AGENT ยท Autonomous Anomaly Response

Related Projects

Team & Founding Partners

Principal Investigators

Le Cong
Stanford
Mengdi Wang
Princeton

Contributors include:
Yingcheng Charles Wu, Zhe Zhao, Jinglin Jian

Contact: Email

Founding Partners

NVIDIA
Nebius
VITURE
AI4Science Catalyst Institute