Does Biomni come with its own data?

Yes, Biomni integrates approximately 11GB of biomedical data, including Ensembl, UniProt, and PubMed indices, which are automatically downloaded upon first use.

Which research tasks can Biomni automate?

It excels at CRISPR screening design, single-cell RNA-seq analysis, GWAS interpretation, ADMET prediction for drugs, and clinical genotype-phenotype mapping.

What is the Biomni Claude Skill?

Biomni is an autonomous AI framework developed by Stanford's SNAP lab that allows Claude to execute complex research tasks in fields like genomics and drug discovery by combining reasoning with code execution.

Is it safe to run Biomni locally?

Since Biomni executes LLM-generated code with system privileges, it is recommended to run it within isolated environments like Docker or virtual machines for production use.

Which LLM models are recommended for Biomni?

While it supports multiple providers, Anthropic Claude 3.5 Sonnet is highly recommended for its superior balance of biomedical reasoning and execution speed.

Biomni Biomedical AI Agent

Name: Biomni Biomedical AI Agent
Author: Microck

byMicrock

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Ciencia de Datos y ML

Executes autonomous multi-step biomedical research tasks spanning genomics, drug discovery, and clinical analysis.

Biomni is a sophisticated biomedical AI agent framework from Stanford's SNAP lab that enables Claude to perform autonomous research tasks. By integrating LLM reasoning with code execution and access to an 11GB curated biomedical database, it handles complex workflows like CRISPR screening design, single-cell RNA-seq analysis, and ADMET prediction. This skill is ideal for researchers needing automated data processing pipelines and knowledge retrieval across proteomics, genomics, and clinical datasets.

Características Principales

0189 GitHub stars

02Built-in evaluation framework to benchmark biomedical task performance

03Autonomous multi-step biological reasoning and task decomposition

04Integrated 11GB database of genomics, proteins, and clinical literature

05Automated code generation and execution for bioinformatics pipelines

06Cross-domain problem solving for drug discovery and molecular biology

Casos de Uso

01Automating single-cell RNA-seq workflows including clustering and annotation

02Designing and prioritizing genes for genome-wide CRISPR knockout screens

03Predicting ADMET properties and identifying targets for drug discovery candidates

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills biomni

For use in Claude.ai and ChatGPT

Download Skill