install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/clinical-trial-matcher" ~/.claude/skills/majiayu000-claude-skill-registry-clinical-trial-matcher && rm -rf "$T"
manifest:
skills/data/clinical-trial-matcher/SKILL.mdsource content
---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.
keywords:
- clinical-trial-matcher
- automation
- biomedical measurable_outcome: execute task with >95% success rate. ---"
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
- Extract Patient Data: Identify key demographics (age, sex), primary diagnosis, stage of disease, and prior lines of therapy from the user's input.
- Search Vector Database:
- Generate an embedding for the patient summary.
- Query the
for top 20 semantic matches.trials_vector_db
- Filter by Logic:
- Apply hard filters:
,status=Recruiting
.phase!=Terminated - Check inclusion/exclusion criteria (e.g., "Must have EGFR mutation", "No prior immunotherapy").
- Apply hard filters:
- Format Output:
- Present matches in a structured list: Trial ID (
), Title, Phase, and "Why it fits" (matching logic).NCT number - Highlight any potential exclusion criteria that need verification.
- Present matches in a structured list: Trial ID (