medical-qa
Medical question answering using structured biomedical knowledge bases and clinical datasets
Best use case
medical-qa is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Medical question answering using structured biomedical knowledge bases and clinical datasets
Teams using medical-qa should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/medical-qa/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How medical-qa Compares
| Feature / Agent | medical-qa | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Medical question answering using structured biomedical knowledge bases and clinical datasets
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Medical Question Answering ## Purpose Answer medical and biomedical questions with evidence-based precision using structured datasets and clinical knowledge bases. ## Key Datasets - **MedQuAD** (abachaa/MedQuAD): 47,457 QA pairs from 12 NIH sources (NCI, GARD, GHR, MedlinePlus, NIDDK, NHLBI, NICHD, NIA, NIAMS, NINDS, NIDA, GARD) - **PubMedQA** (qiaojin/PubMedQA): Yes/No/Maybe reasoning from PubMed abstracts ## Protocol 1. **Parse the question** — Identify medical entities (diseases, drugs, genes, symptoms) 2. **Source identification** — Match question type to appropriate NIH source 3. **Evidence retrieval** — Search PubMed, clinical guidelines, drug databases 4. **Answer synthesis** — Provide answer with confidence level and citations 5. **Verification** — Cross-reference with at least 2 independent sources ## Question Types - Disease/condition: Etiology, diagnosis, prognosis, treatment - Drug/treatment: Mechanism, dosage, side effects, interactions - Genetic: Gene function, variants, inheritance patterns - Prevention: Risk factors, screening, lifestyle modifications ## Rules - Always cite primary sources (PMID, DOI, or guideline reference) - Distinguish between established evidence and emerging research - Flag when evidence is limited or conflicting - Never provide personalized medical advice - Include confidence level: HIGH (multiple RCTs), MODERATE (observational), LOW (case reports)
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