Automate multi-step biomedical research tasks with dynamic code generation and execution.
npx skills add https://github.com/ovachiever/droid-tings --skill biomni
Please help me install this Agent Skill. Skill: biomni Source: https://github.com/ovachiever/droid-tings/tree/main/skills/biomni Command: npx skills add https://github.com/ovachiever/droid-tings --skill biomni
Biomni is an autonomous biomedical AI agent framework that decomposes complex research tasks, retrieves biomedical knowledge, generates and executes analysis code, and presents results end-to-end. It aims to accelerate genomic, proteomic, drug discovery, and clinical analysis workflows by orchestrating multi-step reasoning and tooling.
Real-world tasks include CRISPR screening design, single-cell RNA-seq analysis, GWAS interpretation, ADMET prediction, and rare-disease variant interpretation.
Install Biomni and initialize an A1 agent pointing to your data. Then run a multi-step biomedical analysis and save a pipeline report.
High-intent search queries and answers about installing and using this skill.
Biomni automates biomedical analysis by decomposing complex tasks into steps, generating and executing analysis code dynamically, and retrieving knowledge from integrated genomics, drug discovery, and clinical databases. Initialize an agent pointing to your data, then run your analysis end-to-end with a single pipeline.
Yes. Biomni handles CRISPR screening design, single-cell RNA-seq analysis, GWAS interpretation, and ADMET prediction across genomics and drug discovery workflows. It orchestrates multi-step reasoning and code execution for these domain-specific tasks.
Biomni integrates provider-agnostic LLM support across Anthropic Claude, OpenAI, Azure OpenAI, Google Gemini, Groq, AWS Bedrock, and custom endpoints with configurable settings. Switch providers without changing your analysis code.
Biomni retrieves biomedical knowledge from approximately 11 GB of integrated databases and literature covering genomics, proteomics, drug discovery, and clinical analysis domains. This integrated knowledge supports variant interpretation, rare disease diagnosis, and protocol optimization.
Biomni functions as a modular MCP-like ecosystem with configurable tools, resources, and prompts that fit into existing workflows. It handles autonomous task decomposition and code generation, enabling integration as a central reasoning layer for downstream lab protocol and analysis tools.
Install Biomni, configure an LLM provider endpoint, and prepare input data. Biomni handles knowledge retrieval and code generation internally, so no specialized bioinformatics software installation is required for core autonomous reasoning and task decomposition.
tassiovaleCreate, read, and manipulate AnnData objects for single-cell RNA-seq datasets.
derekcrossluInterpret backtest results and detect overfitting in trading strategies.
jackspaceApply graph neural networks to drug discovery tasks with PyTorch.
sanand0Automate biomedical research tasks with code generation and database access.
