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.
Target: Learning & research. Automatically collected · unverified.
Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
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Topics in the source
- Biomni
- Overview
- Core Capabilities
- When to Use This Skill
- Quick Start
- Installation and Setup
- Basic Usage Pattern
- Working with Biomni
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. 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 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, phenoty
This is an excerpt. Refer to the complete source and its current requirements.
- Source repository
- davila7/claude-code-templates
- Source file
- cli-tool/components/skills/scientific/biomni/SKILL.md
- Fixed revision
- 21be197f100a12b8d0dd9a211cc244c8179f84d3
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This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.
Author: davila7/claude-code-templates · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T15:01:39.909Z.
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