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.
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About biomni
Biomni is an autonomous biomedical AI agent framework designed to facilitate and streamline complex research tasks across various biomedical fields, including genomics, drug discovery, molecular biology, and clinical analysis. This skill addresses the challenges researchers face when conducting multi-step biomedical inquiries, allowing them to efficiently design experiments, analyze data, and optimize protocols without manual intervention. By leveraging large language model (LLM) reasoning combined with code execution and access to extensive biomedical databases, Biomni significantly enhances research productivity and accuracy.
FAQ
How do I install and set up Biomni?
You can install Biomni using the command `pip install biomni --upgrade` and configure your API keys by storing them in a `.env` file or setting them as environment variables.
What LLM providers are supported by Biomni?
Biomni supports various LLM providers including Anthropic Claude, OpenAI, Azure OpenAI, Google Gemini, Groq, and AWS Bedrock.
Can Biomni handle tasks in multiple biomedical domains?
Yes, Biomni is designed to work across various domains such as genomics, drug discovery, molecular biology, and clinical analysis, providing a unified interface for researchers.
Are there any limitations to using Biomni?
Users should be aware of the computational resources required for running complex queries and the need to configure API keys for LLM access.
Who can benefit from using Biomni?
Researchers, scientists, and professionals involved in biomedical research, especially those focusing on multi-step biological reasoning tasks.
Install biomni
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
davila7/claude-code-templates