scientific-agent-skills
CommunityUnlock advanced scientific data analysis workflows.
Education & Research#model training#bioinformatics#single-cell analysis#batch correction#spatial transcriptomics#multimodal data#deep generative models
Authorogngnaoh
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides comprehensive guidance for analyzing complex scientific datasets, including single-cell genomics, spatial transcriptomics, and multimodal biological data, enabling researchers to perform sophisticated analyses efficiently.
Core Features & Use Cases
- End-to-End Workflows: Guides users through model training, data preprocessing, and downstream analysis for diverse biological data modalities.
- Technical Integration: Explains the setup, training, and inference procedures for models like scVI, totalVI, DESTVI, and others, supporting large-scale data handling with GPU acceleration.
- Use Case: A researcher analyzing multi-omics spatial data can follow this Skill to perform deconvolution, integration, and visualization, accelerating discovery without deep coding expertise.
Quick Start
Request step-by-step instructions for training a batch-corrected model on a single-cell RNA dataset.
Dependency Matrix
Required Modules
scviscanpysquidpytorch
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-agent-skills Download link: https://github.com/ogngnaoh/scientific-agent-skills/archive/main.zip#scientific-agent-skills Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.