Automate biomedical research tasks with code generation and database access.
npx skills add https://github.com/sanand0/scientific-research --skill biomni-sanand0
Please help me install this Agent Skill. Skill: biomni Source: https://github.com/sanand0/scientific-research/tree/main/.claude/skills/biomni Command: npx skills add https://github.com/sanand0/scientific-research --skill biomni-sanand0
This Skill automates complex, multi-step biomedical research tasks, from experimental design to data analysis, by leveraging advanced AI reasoning and code execution.
Use the biomni skill to design a CRISPR screen to identify genes regulating autophagy in HEK293 cells.
High-intent search queries and answers about installing and using this skill.
CRISPR screening design is automated by decomposing biological queries into multi-step reasoning and code execution. You provide a target pathway, and the agent autonomously designs the screen using integrated biomedical databases and Python code generation.
Single-cell RNA-seq analysis is supported through dynamic Python code generation and execution. The agent processes raw sequencing data by autonomously building and running analysis pipelines to identify cell populations and gene expression patterns.
ADMET prediction for drug candidates is performed by leveraging integrated access to large biomedical databases and code execution. The agent retrieves molecular properties and dynamically generates predictive models to assess pharmacokinetic profiles.
GWAS interpretation is handled by autonomous multi-step reasoning that queries integrated biomedical databases and generates execution-ready Python code. The agent identifies significant loci and biological pathways without requiring manual pipeline construction.
No external database installation is required. The agent utilizes approximately 11GB of integrated biomedical databases for knowledge retrieval, enabling autonomous genomics and drug discovery tasks directly within the environment.
An autonomous agent decomposes complex molecular biology queries into multi-step reasoning and dynamically generates execution-ready code. Unlike static scripts, it adapts analysis pipelines on the fly by querying integrated databases for context-aware results.
jinzhezenggroupCompute RDKit molecular descriptors and fingerprints from SMILES data.
K-Dense-AIAutomates end-to-end RNA-seq workflow to extract QC metrics clusters and cell-type annotations using Scanpy.
mims-harvardIdentify drug repurposing candidates across disease targets, drugs, and safety data.
MubasherMohammedAutomate single-cell RNA-seq analysis with Scanpy, including QC, clustering, and reporting.
