From antigravity-awesome-skills
Analyzes family health JSON data to assess genetic risks via scoring algorithms, identify disease patterns, generate prevention suggestions, and produce HTML visualizations with ECharts. Useful for family health reports and trend analysis.
npx claudepluginhub sickn33/antigravity-awesome-skillsThis skill is limited to using the following tools:
- 需要分析家族病史、遗传风险或家庭层面的健康模式时使用。
Analyzes family health JSON data to assess genetic risks via scoring algorithms, identify disease patterns, generate prevention suggestions, and produce HTML visualizations with ECharts. Useful for family health reports and trend analysis.
Analyzes family medical history from JSON trackers, assesses genetic risks via weighted algorithms, identifies health patterns, generates personalized prevention suggestions, and creates HTML visualization reports with ECharts.
Connects US EHRs (Epic, Cerner) via HealthEx to retrieve clinical history (labs, immunizations, meds), analyze with Claude, and export de-identified data to FHIR store with HealthClaw curation. Auto-activates on health record queries.
Share bugs, ideas, or general feedback.
本技能提供家庭健康数据的深度分析,包括:
当用户请求以下内容时,使用此技能:
/family report 命令/family risk 命令识别用户请求类型:
数据源:
data/family-health-tracker.jsondata/hypertension-tracker.jsondata/diabetes-tracker.jsondata/profile.json验证项目:
识别算法:
加权计算:
遗传风险评分 = (一级亲属患病数 × 0.4) +
(早发病例数 × 0.3) +
(家族聚集度 × 0.3)
风险等级:
- 高风险: ≥70%
- 中风险: 40%-69%
- 低风险: <40%
建议分类:
示例:
{
"category": "screening",
"action": "定期血压监测",
"frequency": "每周3次",
"start_age": 35,
"priority": "high"
}
HTML报告组件:
输出格式:
每次分析输出必须包含:
⚠️ 免责声明:
1. 本分析基于家族病史统计,仅供参考
2. 遗传风险评估不预测个体发病
3. 所有医疗决策请咨询专业医师
4. 遗传咨询建议咨询专业遗传咨询师
技能版本: v1.0 最后更新: 2025-01-08 维护者: WellAlly Tech