Agent skill · research science · aiskillstore
biomni
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.
Why this skill is useful
Adds executable scripts for autonomous biomedical research tasks and integrates with multiple LLM providers, enhancing AI capabilities in complex biological analysis.
What it needs
Requires biomni installed locally. Requires anthropic, aws, azure, google, openai account access. About 5k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Biomni Overview Biomni is an open-source biomedical AI agent framework from Stanford's SNAP lab that autonomously executes complex research tasks across biomedical domains. Use this skill when working on multi-step biological reasoning tasks, analyzing biomedical data, or conducting research spanning genomics, drug discovery, molecular biology, and clinical analysis. Core Capabilities Biomni excels at: 1. Multi-step biological reasoning - Autonomous task decomposition and planning for complex biomedical queries 2. Code generation and execution - Dynamic analysis pipeline creation for data processing 3. Knowledge retrieval - Access to ~11GB of integrated biomedical databases and literature 4. Cross-domain problem solving - Unified interface for genomics, proteomics, drug discovery, and clinical tasks When to Use This Skill Use biomni for: CRISPR screening - Design screens, prioritize genes, analyze knockout effects Single-cell RNA-seq - Cell type annotation, differential expression, trajectory analysis Drug discovery - ADMET prediction, target identification, compound optimization GWAS analysis - Variant interpretation, causal gene identification, pathway enrichment Clinical genomics - Rare disease diagnosis, variant pathogenicity, phenotype-genotype mapping Lab protocols - Protocol optimization, literature synthesis, experimental design Quick Start Installation and Setup Install Biomni and configure API keys for LLM providers: Configure API keys (store in .env file or environment variables): Use scripts/setupenvironment.py for interactive setup assistance. Basic Usage Pattern Working with Biomni 1. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/biomni--d8e9bb