medgeclaw-guide
AI research assistant for biomedicine, RNA-seq, and drug discovery
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill medgeclaw-guide --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.
# MedgeClaw Guide ## Overview MedgeClaw is a conceptual framework for AI-powered biomedical research assistance, integrating natural language processing for medical literature, computational biology pipelines, and drug discovery workflows. The name reflects the integration of Medical knowledge Edge (cutting-edge biomedical AI) with the Claw agent pattern for autonomous research execution. Biomedical research is uniquely suited for AI augmentation because it generates massive, heterogeneous data -- genomic sequences, clinical records, imaging data, molecular structures, and published literature -- that exceeds the capacity of individual researchers to synthesize. AI systems that can navigate across these data types, identify patterns, and suggest hypotheses accelerate the pace of discovery. This guide covers the key computational methods in biomedical AI research: medical NLP for literature mining, RNA-seq analysis pipelines, drug discovery computational workflows, and the integration patterns that connect these components into coherent research workflows. The focus is on methods that are reproducible, validated, and suitable for publication in biomedical journals. ## Medical NLP an
- Overview
- Medical NLP and Literature Mining
- Biomedical Named Entity Recognition
- Systematic Literature Search Pipeline
- RNA-seq Analysis
- Complete DESeq2 Workflow
- Quality Control Metrics
- Drug Discovery Computational Methods
- Virtual Screening Pipeline
- Target-Disease Association Analysis
- Clinical AI Applications
- Clinical NLP Patterns
- Best Practices
- References
What does the medgeclaw-guide skill do?
AI research assistant for biomedicine, RNA-seq, and drug discovery
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill medgeclaw-guide --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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.