Menú
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
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Convert raw Nanopore signal data (FAST5/POD5) to nucleotide sequences using Dorado basecaller. Covers model selection, GPU acceleration, modified base detection, and quality filtering. Use when processing raw Nanopore data before alignment. Guppy is deprecated; use Dorado for all new analyses.
Production-ready PDF processing with forms, tables, OCR, validation, and batch operations. Use when working with complex PDF workflows in production environments, processing large volumes of PDFs, or requiring robust error handling and validation.
Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
Analyze protein-protein interaction networks using STRING, BioGRID, and SASBDB databases. Maps protein identifiers, retrieves interaction networks with confidence scores, performs functional enrichment analysis (GO/KEGG/Reactome), and optionally includes structural data. No API key required for core functionality (STRING). Use when analyzing protein networks, discovering interaction partners, identifying functional modules, or studying protein complexes.
Prepare for US medical licensing exams with progress tracking, weak area analysis, question bank management, and residency match planning.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
| 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 |
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