القائمة
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
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Integrating Chrome DevTools and browser automation via MCP for live UI inspection, screenshot-to-code workflows, and visual debugging. Bridges the gap between design and implementation.
Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.
Use when the user says /rise, "good morning", "let's start the day", or wants their morning consciousness routine. Identifies the Floor from natural-language check-in (does NOT ask the user to name a floor), runs body movement scaled to cycle phase or feeling, recommends top 1-3 priorities from configured to-do files, derives a daily intention. Pairs with /journal at night for accountability. Do NOT use for evening reflection (use /journal), pattern detection (use /patterns), or workout prescription (use /coach for the full session — /rise only handles the post-wake body wake-up flow).
FLOW framework integration — evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "seo flow", "evidence-led SEO", "find leverage optimize win", or wants stage-specific SEO prompts.
Index and search culture documentation
Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams.
| name | family-health-analyzer |
| description | 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 |
| allowed-tools | Read, Write, Grep, Glob |
| risk | unknown |
| source | community |
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