菜单
医疗健康知识问答技能。用于帮助用户理解症状含义、解读检查报告结果、了解用药常识、提供何时就医的专业建议。当用户询问健康症状、药品说明、检查报告解读、就医建议等问题时触发此技能。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | medical-qa |
| description | 医疗健康知识问答技能。用于帮助用户理解症状含义、解读检查报告结果、了解用药常识、提供何时就医的专业建议。当用户询问健康症状、药品说明、检查报告解读、就医建议等问题时触发此技能。 |
本技能面向有健康自查需求的患者，帮助用户：
本技能提供自定义脚本，位于 scripts/medical_qa.py。
from scripts.medical_qa import get_answer # 注意导入medical-qa skill中的脚本文件时要根据实际情况注意系统路径问题
# 提问
query = "感冒了要不要吃抗生素（消炎药）？"
answer = get_answer(query)
print(answer)
get_answer(query)通过医疗知识库 API 获取问题的答案。
参数：
query (str): 用户输入的医疗问题返回：
str: 答案文本。如果请求云知声医疗问答服务3次均失败，返回 None实现细节：
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Extract clinical trial data from pharmaceutical conference websites or PDF documents. Use when user provides a URL or PDF file containing innovative drug clinical trial data and needs structured extraction of: drug name, manufacturer, indication, clinical phase, trial name, conference, efficacy and safety data (presented as tables), and markdown output to "药品名称@适应症.md" file.
Use this skill when a clinician, practice manager, or healthcare developer needs to draft, structure, or retrieve clinical documentation — including SOAP notes, referral letters, prior authorization forms, discharge summaries, and care plan narratives. Connects to FHIR R4-compliant APIs (Epic, Cerner, Azure Health Data Services, HAPI FHIR) to pull structured patient data and generate documentation drafts. Also supports manual input when no EHR connection is available. DO NOT use for direct diagnosis, prescribing decisions, or any task requiring a licensed clinical judgment — this skill assists with documentation only.
Search clinical trial databases similar to ClinicalTrials.gov. Use this skill whenever the user asks about clinical trials, drug trials, indications, targets, drug names, trial phases, NCT IDs, enrollment, or recruitment. Automatically parses natural language questions into structured query parameters and calls the backend API to return matching trial records. Trigger words include: clinical trial, NCT, drug development, indication, target, phase, enrollment, recruitment, sponsor, cohort, arm, endpoint, efficacy, safety data.
Analyze ECG signals via heartvoice (心之声) API — single-lead and 12-lead. Automatically selects endpoint based on user intent and responds in the user's language. Use when user mentions ECG, 心电图, 心电分析, 单导联, 十二导联, 1-lead, 12-lead, heart rhythm, arrhythmia, QRS, QT interval, signal quality, or asks to analyze an ECG JSON file.
醫療文檔處理技能 - 病歷摘要、報告分析、醫學文獻整理。適用於醫生、醫療專業人員。觸發詞：病歷、醫療報告、醫學文獻、clinical notes、medical document、病歷摘要、出院小結、門診記錄。