multimodal-analysis
Analyzes medical images (X-ray, MRI, CT) using multimodal LLMs to identify anomalies and generate reports.
---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.
---
name: clinical-trial-matcher
description: "---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."
---
<!--
# 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 -->---
name: clinical-trial-matcher
description: "---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."
---
<!--
# 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 -->Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.
Resource notes updated 2026-10-27 · Original instructions by mdbabumiamssm