<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA -->

---

name: 'clinical-trial-matcher' description: 'Matches patient profiles to open clinical trials using vector similarity and inclusion/exclusion criteria. Use when a user provides patient data and asks for relevant trials.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:

• read_file
• run_shell_command

---

Clinical Trial Matcher

This skill matches a patient's clinical profile against a database of active clinical trials (ClinicalTrials.gov).

When to use this skill

• When the user provides a patient case summary, medical history, or specific diagnosis.
• When the user explicitly asks to "find trials" or "recruit patients".
• When evaluating eligibility criteria for a specific trial.

How to use it

1. Extract Patient Data: Identify key demographics (age, sex), primary diagnosis, stage of disease, and prior lines of therapy from the user's input.
2. Search Vector Database:
   • Generate an embedding for the patient summary.
   • Query the

     trials_vector_db

     for top 20 semantic matches.
3. Filter by Logic:
   • Apply hard filters:

     status=Recruiting

     ,

     phase!=Terminated

     .
   • Check inclusion/exclusion criteria (e.g., "Must have EGFR mutation", "No prior immunotherapy").
4. Format Output:
   • Present matches in a structured list: Trial ID (

     NCT number

     ), Title, Phase, and "Why it fits" (matching logic).
   • Highlight any potential exclusion criteria that need verification.

<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->