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分析口腔健康数据、识别口腔问题模式、评估口腔健康状况、提供个性化口腔健康建议。支持与营养、慢性病、用药等其他健康数据的关联分析。
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Baseado na classificação ocupacional SOC
This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration, evaluator bias mitigation, confidence scoring, and automated quality assessment.
Automated end-to-end UI testing and verification on an Android Emulator using ADB.
This skill should be used when modeling agent mental states with BDI concepts: beliefs, desires, intentions, RDF-to-belief transformations, rational agency traces, cognitive agents, BDI ontologies, and neuro-symbolic AI integration.
Build a premium cinematic landing page with mouse-scrub video hero and brand-driven narrative-arc sections. Use whenever the user provides a hero video plus a product / subject / brand and wants a landing page, promo site, product showcase, marketing page, or storytelling site. Works for any language and any subject. The signature effect is mouse-driven video scrubbing — the hero video lives across the entire page as a fixed backdrop, and moving the mouse left-right scrubs the video timeline so the subject responds to the cursor. Below the hero, 4-5 fully-opaque sections each carry their own brand identity (color, typography emphasis, layout pattern) and walk the viewer through a narrative arc (e.g. longing -> joy -> nostalgia -> contemplation -> action). Do NOT use for parallax frame-scrub landings where the page itself doesn't scroll (use parallax-landing-page instead) or for video editing / captioning workflows (use video-edit).
Convert frontend code (Vite, React, etc.) to a Stitch Design by chaining static HTML extraction, design system extraction, and file upload. **ALWAYS** use this skill when the user's intent is to move existing web apps or React components into Stitch (e.g., requests to "save", "migrate", or "upload"). You must use this skill even for simple "save" operations, as it is the only way to ensure the design system is extracted and assets are properly linked.
This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-pattern issues, and agent performance degradation caused by accumulated or conflicting context.
| name | oral-health-analyzer |
| description | 分析口腔健康数据、识别口腔问题模式、评估口腔健康状况、提供个性化口腔健康建议。支持与营养、慢性病、用药等其他健康数据的关联分析。 |
| risk | safe |
| source | community |
name: oral-health-analyzer
本技能提供全面的口腔健康数据分析功能，包括趋势识别、风险评估、问题诊断和个性化建议生成。
⚠️ 重要提示：本技能提供的数据分析和建议仅供参考，不构成医学诊断或治疗建议。
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基于以下因素进行综合评估：
风险等级：
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基于以下因素进行综合评估：
风险等级：
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基于以下因素进行综合评估：
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糖分摄入与龋齿风险：
钙和维生素D与牙齿健康：
营养缺乏的口腔表现：
糖尿病与牙周病：
心血管疾病与牙周病：
妊娠期口腔健康：
骨质疏松与牙齿健康：
药物引起的口干：
药物引起的牙龈增生：
药物对牙齿颜色的影响：
干燥综合征：
自身免疫病的口腔表现：
龋齿预防：
牙周病预防：
口腔癌预防：
根据问题类型提供：
饮食调整：
习惯改善：
风险因素管理：
常见目标类型：
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评分范围：0-100分
用户请求：分析最近6个月的口腔健康状况
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用户请求：我最近刷牙时牙龈出血，持续1周了
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用户请求：我想改善口腔卫生，降低龋齿风险
分析流程：
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用户请求：我有糖尿病，这对我的口腔健康有什么影响？
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用户请求：我准备怀孕，应该注意哪些口腔问题？
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name: oral-health-analyzer
版本: v1.0.0 最后更新: 2025-01-06 维护者: WellAlly Tech
