Biomni (Claude Skill)
A Claude Code skill that wraps the Stanford SNAP Lab Biomni agent so Claude can autonomously plan and execute multi-step biomedical research tasks across genomics, drug discovery, molecular biology, and clinical analysis.
| Type | Claude Skill |
| Supplier | Stanford SNAP Lab |
| Availability | GA |
| Pricing | Free / OSS (Apache-2.0; some bundled tools/databases carry more restrictive commercial licenses) |
| Capabilities | Read/Write — generates and executes analysis code, retrieves from an integrated biomedical data lake |
How to install
The skill is distributed in the davila7/claude-code-templates collection.
- Claude Code — install the skill:
npx skills add https://github.com/davila7/claude-code-templates --skill biomni - Prerequisite — install the Biomni package the skill drives (the skill is a workflow wrapper; the agent itself is the
biomniPython package):uv pip install biomni --upgrade(or
pip install biomni --upgrade) - Prerequisite — API key: set
ANTHROPIC_API_KEY(recommended) or another supported provider key (OpenAI, Azure OpenAI, Google Gemini, Groq, AWS Bedrock). - First-run data lake: ~11 GB of biomedical databases downloads automatically to your chosen data path on first agent initialization.
What it does
Wraps the Biomni A1 agent, which combines LLM reasoning with retrieval-augmented planning and code execution over an integrated biomedical data lake. Typical workflows:
- CRISPR screening design and gene prioritization
- Single-cell RNA-seq analysis with cell-type annotation
- Drug ADMET prediction and compound optimization
- GWAS variant interpretation and pathway enrichment
- Rare-disease diagnosis and clinical genomics
- Lab-protocol optimization
Primary use cases: Multi-step biomedical reasoning, autonomous analysis-pipeline generation, cross-domain research spanning genomics, drug discovery, and clinical analysis.
Notes
The official snap-stanford/Biomni repo ships the agent as a Python package, not as a SKILL.md; the Claude Code skill is the community davila7/claude-code-templates wrapper, which is why both an npx skills add step and a pip/uv install of biomni are required.
Security: Biomni executes LLM-generated code with full system privileges and can access files, network, and system commands. Run it in an isolated/sandboxed environment and avoid exposing sensitive data or credentials. Apache-2.0 covers the framework, but some integrated tools and databases carry more restrictive commercial terms — check before commercial use.
Sources
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