FA

family-health-analyzer

Provides deep analysis of family health data to identify genetic risks and generate prevention suggestions.

Install

mkdir -p .claude/skills/family-health-analyzer && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3978" && unzip -o skill.zip -d .claude/skills/family-health-analyzer && rm skill.zip

Installs to .claude/skills/family-health-analyzer

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

分析家族病史、评估遗传风险、识别家庭健康模式、提供个性化预防建议
32 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Analyze family medical history data
  • Calculate genetic risk scores
  • Identify early-onset disease patterns
  • Generate preventative health screening schedules
  • Create visualized HTML health reports

How it works

The skill processes family health data through statistical analysis and weighted algorithms to identify patterns and generate reports, while adhering to strict medical safety boundaries.

Inputs & outputs

You give it
Family health tracking JSON files
You get back
HTML visualization and text-based risk report

When to use family-health-analyzer

  • Generate a family health report
  • Analyze genetic risk factors from history
  • Identify early-onset disease patterns
  • Create a preventative health screening schedule

About this skill

家庭健康分析技能

技能概述

本技能提供家庭健康数据的深度分析,包括:

  • 遗传风险评估
  • 家族疾病模式识别
  • 家庭共同问题分析
  • 个性化预防建议
  • 可视化报告生成

触发条件

当用户请求以下内容时,使用此技能:

  • "家庭健康报告"
  • "家族病史分析"
  • "遗传风险评估"
  • "家庭健康趋势"
  • 执行 /family report 命令
  • 执行 /family risk 命令

分析步骤

步骤1: 确定分析目标

识别用户请求类型:

  • 家族病史分析
  • 遗传风险评估
  • 家庭健康趋势
  • 家庭健康报告

步骤2: 读取家庭数据

数据源:

  1. 主数据文件: data/family-health-tracker.json
  2. 集成模块数据:
    • data/hypertension-tracker.json
    • data/diabetes-tracker.json
    • data/profile.json

步骤3: 数据验证与清洗

验证项目:

  • 关系完整性
  • 年龄合理性
  • 数据一致性

步骤4: 遗传模式识别

识别算法:

  1. 家族聚集性分析
  2. 遗传模式识别
  3. 早发病例识别(通常<50岁)

步骤5: 风险计算算法

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%

步骤6: 生成预防建议

建议分类:

  • 筛查建议:定期检查项目
  • 生活方式建议:饮食、运动、作息
  • 就医建议:何时就医、咨询专科

示例:

{
  "category": "screening",
  "action": "定期血压监测",
  "frequency": "每周3次",
  "start_age": 35,
  "priority": "high"
}

步骤7: 生成可视化报告

HTML报告组件:

  1. 家谱树(ECharts树图)
  2. 遗传风险热力图
  3. 疾病分布饼图
  4. 预防建议时间线

步骤8: 输出结果

输出格式:

  1. 文本报告(简洁版):命令行输出
  2. HTML报告(完整版):可视化图表

安全原则

医学安全边界

  • ✅ 仅基于家族病史进行统计分析
  • ✅ 提供预防建议和筛查提醒
  • ✅ 明确标注不确定性
  • ❌ 不进行遗传疾病诊断
  • ❌ 不预测个体发病概率
  • ❌ 不推荐具体治疗方案

免责声明

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

集成现有模块

  • 读取高血压管理数据
  • 读取糖尿病管理数据
  • 关联用药记录

技能版本: v1.0 最后更新: 2025-01-08 维护者: WellAlly Tech

When not to use it

  • Providing medical diagnoses
  • Predicting individual disease onset probability
  • Recommending specific clinical treatments

Prerequisites

family-health-tracker.jsonhypertension-tracker.jsondiabetes-tracker.jsonprofile.json

Limitations

  • Does not perform genetic disease diagnosis
  • Does not predict individual disease probability
  • Requires professional medical consultation for all health decisions

How it compares

It provides structured statistical insights based on family history rather than relying on manual interpretation of medical records.

Compared to similar skills

family-health-analyzer side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
family-health-analyzer (this skill)17moNo flagsIntermediate
elasticsearch-analysis25moReviewIntermediate
dataeng-codebase-analyst03moNo flagsIntermediate
kql04moNo flagsIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

ai-analyzer

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fitness-analyzer

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goal-analyzer

huifer

分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。

14

health-trend-analyzer

huifer

分析一段时间内健康数据的趋势和模式。关联药物、症状、生命体征、化验结果和其他健康指标的变化。识别令人担忧的趋势、改善情况,并提供数据驱动的洞察。当用户询问健康趋势、模式、随时间的变化或"我的健康状况有什么变化?"时使用。支持多维度分析(体重/BMI、症状、药物依从性、化验结果、情绪睡眠),相关性分析,变化检测,以及交互式HTML可视化报告(ECharts图表)。

13

mental-health-analyzer

huifer

分析心理健康数据、识别心理模式、评估心理健康状况、提供个性化心理健康建议。支持与睡眠、运动、营养等其他健康数据的关联分析。

14

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