AI-CareCompanion-离线健康-By-Gemma 是做什么的?
使用基于 React Native 的 Gemma 4B 模型,通过离线优先的 AI 助手管理健康数据,支持症状分诊、药物查询和私有多智能体健康洞察。
使用基于 React Native 的 Gemma 4B 模型,通过离线优先的 AI 助手管理健康数据,支持症状分诊、药物查询和私有多智能体健康洞察。
该技能是一个专为健康数据管理设计的离线优先 AI 助手,基于 Gemma 4B 模型运行在 React Native 平台上。它能够在不依赖网络连接的情况下进行症状分诊(根据症状初步判断可能的疾病方向)、药物查找(提供药物信息对比和说明)以及私有多智能体健康洞察(多个 AI 模型协同分析健康数据,保障隐私)。该技能适用于移动端健康管理场景,尤其适合医疗资源有限的地区或注重用户隐私的环境。它通过本地部署的大模型和安全的本地数据存储技术实现离线运行,所有敏感信息均不离开用户设备,确保数据安全和隐私合规。技能的核心工作流程包括:用户输入症状或药物名称,AI 自动触发本地模型推理,调用离线数据库或本地知识图谱给出分诊建议或药物信息;多智能体模块则可将不同健康维度(如身体指标、过敏史、用药记录)分割给不同子模型独立分析,最终合并输出个性化健康报告。
npx skills add Tabular-corpus256/AI-CareCompanion-Offline-Health-By-GemmaInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
使用基于 React Native 的 Gemma 4B 模型,通过离线优先的 AI 助手管理健康数据,支持症状分诊、药物查询和私有多智能体健康洞察。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.