Open-source 'HCLS Agent Skills' collection released to improve AI reasoning in healthcare and life sciences
A released open-source collection of 38 'HCLS Agent Skills' (MIT-0) encodes domain decision procedures as structured SKILL.md documents across 11 healthcare and life‑sciences domains to guide agentic AI. The repository and CLI aim to make reasoning and pipeline procedures auditable and portable across agent harnesses (Kiro, AWS Strands/Bedrock AgentCore, Claude Code, OpenAI Codex and others) and the authors report 70–86% win rates for agents with skills vs. without on evaluated workflows.