AI agents often misapply healthcare decision frameworks even when they know the rules. They cite correct criteria but skip thresholds or hallucinate scores. This gap causes wrong outputs in clinical trials and imaging analysis.
Researchers released a collection of 38 open-source agent skills. These skills cover 11 healthcare and life sciences domains. Each skill is a structured markdown document that agents can read at inference time.
The collection includes reasoning skills for decision frameworks and pipeline skills for tool commands. For example, the genomic-variant-interpretation skill encodes ACMG/AMP classification rules. The variant-calling skill provides specific GATK4 command configurations.
Unlike retrieval-augmented generation (RAG), these skills encode the full decision procedure itself. They are not fine-tuned models but structured prompts activated by trigger patterns. Skills are auditable, portable, and easy to maintain through text file edits.
Readers can install skills using tools like Kiro or AWS Strands Agents SDK. The installation requires Python 3.10+ and Git to clone the repository. Three deployment patterns work for single agents, multi-agent systems, and production hosting.
