GWAS Database
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.
npx skills add majiayu000/claude-skill-registry --skill gwas-database-chatandbuild-chatchat-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Biomni ## Overview 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. ## Core Capabilities 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 ## When to Use This Skill 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
- Overview
- Core Capabilities
- When to Use This Skill
- Quick Start
- Installation and Setup
- Basic Usage Pattern
- Working with Biomni
- 1. Agent Initialization
- 2. Task Execution Workflow
- 3. Common Task Patterns
- 4. Data Integration
- 5. MCP Server Integration
- 6. Evaluation Framework
- Best Practices
uv pip install biomni --upgrade export ANTHROPIC_API_KEY="your-key-here" Verify environment variables echo $ANTHROPIC_API_KEY Or check .env file in working directory
What does the GWAS Database skill do?
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.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gwas-database-chatandbuild-chatchat-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.