ai-research-clinician-skill
Guide clinicians from observations to auditable research plans with human gates
Guide clinicians from observations to auditable research plans with human gates
Research Clinician skill helps Chinese medical students and early-career clinicians turn bedside observations into research questions, evidence notes, tool evaluations, reproducible mini-runs, bias audits, and study plans. At each gate, the AI exposes its work, sources, and uncertainties while the clinician decides what to accept, authorize, and sign. Real cases must be de-identified and cleared through ethics and data-governance processes. Without code execution, it drafts an executable plan instead, and it does not provide individual diagnosis or treatment decisions.
Resource types
Use cases
Platforms
Generate study-design-aware clinical Table 1 outputs in HTML, Word, and LaTeX.
Retrieve cited Quran and Sahih hadith texts through a RAG-backed Claude skill.
Capabilities
Public GitHub facts last synced Jul 10, 2026.
Define product problems through six research lenses before proposing solutions.
Review ML and AI papers with evidence-based critiques and verified references.