Health Skills for OpenClaw Agents
110 skills in the OpenClaw catalogue are tagged Health, ranked here by downloads over the last 30 days so the list reflects what people are installing now rather than what accumulated the most downloads years ago.
healthcheck
@stellarhold170ntTrack water and sleep with JSON file storage
1134k1.6k/30dvmware-storage
@zw008Use this skill whenever the user needs to manage VMware storage — datastores, iSCSI targets, and vSAN clusters. Directly handles: browse datastores, scan for deployable images (OVA/ISO), configure iSCSI adapters and targets, check vSAN health and capacity. Always use this skill for "list datastores", "add iSCSI target", "check vSAN health", "browse datastore files", "scan for OVA images", or any storage-related VMware task. Do NOT use for VM lifecycle operations (use vmware-aiops), NSX networking (use vmware-nsx), or Kubernetes clusters (use vmware-vks). For load balancing/AVI/AKO use vmware-avi.
14.3k1.1k/30dvmware-nsx
@zw008Use this skill whenever the user needs to manage VMware NSX networking — segments, gateways, NAT, routing, and IP pools. Directly handles: create/manage network segments, configure Tier-0/Tier-1 gateways, set up NAT rules, manage static routes, configure IP pools, check transport node and edge cluster health. Always use this skill for "create segment", "set up gateway", "create NAT rule", "check network health", "troubleshoot connectivity", or any NSX/networking/segment task. Do NOT use for DFW firewall rules or security groups (use vmware-nsx-security), VM lifecycle (use vmware-aiops), or AVI/ALB load balancing (use vmware-avi). For multi-step workflows use vmware-pilot.
04.0k1.0k/30dvmware-avi
@zw008Use this skill whenever the user mentions load balancing, ingress, virtual services, pool members, AVI, NSX ALB, AKO, or application delivery in a VMware/NSX ALB or Tanzu/vSphere Kubernetes context. Directly handles: virtual service listing and enable/disable, pool member drain/enable, SSL certificate expiry checks, analytics and error logs, service engine health, AKO pod troubleshooting, AKO Helm config management, Ingress annotation validation, K8s-to-Controller sync diagnostics, and multi-cluster AKO overview. Always use it for "virtual service", "pool member", "AKO status", "AKO logs", "ingress diagnose", "ssl expiry", "load balancer", "NSX ALB", "AVI controller", "AKO sync", or "负载均衡" tasks. Do NOT use to set up or configure nginx/HAProxy/Traefik from scratch — those are not AVI tasks. For VM lifecycle use vmware-aiops, for NSX networking use vmware-nsx, for Kubernetes cluster lifecycle (Supervisor/TKC) use vmware-vks.
04.0k1.0k/30dTechnical Seo Checker
@aaron-he-zhuUse when the user asks to "check technical SEO"; audits crawlability, indexing, Core Web Vitals, robots.txt, sitemaps, canonicals, redirects, and migrations....
66.7k910/30dapple-health-sync
@lukasosterheiderSync encrypted Apple Health data from an iOS device (iPhone, iPad) to OpenClaw, Hermes Agent, Claude, Codex or any other AI agent.
53.1k701/30dArrhythmia Early Warning Analysis Tool | 心律失常早期预警分析工具
@18072937735Based on facial video, identifies abnormal rhythms such as premature beats, atrial fibrillation, tachycardia/bradycardia, assists in early detection of heart health risks. | 心律失常早期预警技能,基于面部视频识别早搏、房颤、心动过速/心动过缓等异常节律,辅助心脏健康风险早发现
62.0k583/30dPet Climbing Frame / Cat Tree Activity Heatmap | 宠物爬架/猫树活动热力图
@18072937735Triggers when a user provides a cat climbing frame / cat tree area video URL or file for analysis; supports local video uploads or network URLs to call server-side APIs for multi-region activity recognition, analyzing dwell time on each layer, jump/transition counts, and generating a 2D activity heatmap to evaluate exercise volume and mental wellbeing (without diagnosing diseases). Application scenarios: cat climbing frame + camera, pet behavior monitoring, cat health management. Development reason: quantify cat activity distribution and enrichment usage. | 当用户提供猫爬架/猫树区域的视频URL或文件时,触发本技能进行活动热力图分析;支持通过上传本地视频或网络视频URL,调用服务端API进行多区域活动识别,分析各层停留时长、跳跃/转移次数,生成2D活动热力图,用于评估运动量与心理健康(不诊断疾病)。应用场景:猫爬架+摄像头、宠物行为监测、猫咪健康管理。
01.5k568/30dElderly Loneliness / Depression-Tendency Behavior Analysis | 老年人孤独/抑郁倾向行为分析
@smyx-sunjinhuiUsing fixed cameras at home (living room, bedroom) of elderly people living alone, the system analyzes daily videos and detects negative behavior indicators during solo time: dazing (long-duration motionless gazing without purposeful action), sighing (rapid chest rise-and-fall with audible expiration), and self-talking (mouth movement without any conversation partner). | 通过独居老人在家中的固定摄像头(如客厅、卧室),分析日常视频,检测独处期间的消极行为指标:发呆(长时间静止注视,缺乏目的性动作)、叹气(胸部快速起伏伴呼气声)、自言自语(口部活动但无对话对象)等。该技能可辅助家属或社区工作者了解老人心理状态,及时进行情感关怀或心理干预。
11.6k558/30dPregnancy Emotion Soothing | 孕妇情绪波动舒缓
@18072937735Through fixed cameras (and optional microphones) at the pregnant woman's home or prenatal exam waiting room, the system analyzes facial expressions (sudden crying, frowning, anxiety), prolonged silent sitting (≥ 30 consecutive minutes without social interaction or activity), and tone of conversations with family members (rapid, impatient). | 通过孕妇家中或产检候诊室的固定摄像头(及可选麦克风),分析孕妇的面部表情(突然哭泣、皱眉、焦虑)、长时间静坐不语(连续超过30分钟无社交互动或活动)、以及与家人对话的语气(急促、不耐烦)。当检测到显著情绪波动时,自动触发安抚动作:通过智能音箱播放孕期舒缓音乐或正念引导音频,或向丈夫手机APP推送提醒('妻子情绪波动,请打电话关心')。
01.6k551/30dPlant Root Health Analysis (Transparent Pot) | 植物根系健康状况(透明盆)
@18072937735AI-powered plant root health analysis from transparent pots or smart seedling boxes. Uses fixed cameras to capture images/videos of plant roots, identifies root tip color (white=active, brown=aging, black=rotten), root hair density, branching structure, and detects root rot symptoms (softness, mucus, blackish-brown color). Outputs a root health score (0-100) and vitality grade (Healthy/Normal/Weak/Rotten). Helps early detection of root issues (overwatering rot, fertilizer burn, pathogen infection) and guides care adjustments. Scenarios: smart seedling boxes, transparent pots, plant factories, hydroponic systems. | 通过智能育苗箱或透明花盆的固定摄像头,拍摄植物根系图像或视频,利用AI视觉分析技术识别根尖颜色(白色为活性强、褐色为老化、黑色为腐烂)、根毛密度、根系分支情况以及是否存在根腐病(软烂、粘液、黑褐色)。综合评估根系健康评分(0-100分),输出根系活力等级(健康/一般/衰弱/腐烂)。该技能有助于及早发现根部问题(如浇水过多引起的烂根、肥害、病菌感染),指导用户调整养护措施。应用场景:智能育苗箱、透明花盆、植物工厂、水培系统。
01.5k550/30dChild Drowsiness / Fatigue Detection | 儿童打瞌睡/疲劳检测
@smyx-sunjinhuiUsing a fixed camera in the classroom or above the home desk, the system analyzes the child's (student's) facial video in real time, detecting eye closure ratio (PERCLOS — the proportion of time eyes are closed more than 80% within a unit time), head-nodding frequency (rapid downward nod followed by lift), and changes in eye-region glossiness, and computes a comprehensive fatigue index (0-100). | 通过教室或家庭书桌的固定摄像头,实时分析儿童(学生)的面部视频,检测眼部闭合比例(PERCLOS,单位时间内眼睛闭合超过80%的时间占比)、点头动作频率(头部快速下点后抬起)以及眼部区域的光泽度变化,综合计算疲劳指数(0-100)。该技能可帮助教师或家长及时发现儿童困倦状态,调整学习安排或提醒休息。
01.3k535/30dHigh-Risk Behavior Identification & Analysis Tool | 高风险行为识别分析工具
@smyx-sunjinhuiSupports identifying high-risk behaviors and health risks through video/images, including elderly falls, precursors to heart attacks and strokes, and abnormal behaviors, issuing timely warning alerts. | 高风险行为识别分析工具,支持通过视频/图片识别高危行为和健康风险,包括老人跌倒、心梗脑梗前兆、异常行为等,及时发出预警提示
41.6k534/30dPet Grooming Effectiveness & Hairball Risk Analysis | 宠物梳毛器梳理效果与毛球风险
@18072937735Triggers when a user provides a pet grooming area video or image URL/file for analysis; supports local uploads or network URLs to call server-side APIs for coat condition and shed hair recognition, detecting matting area ratio and shed hair volume to output hairball risk level, helping prevent hairball syndrome. Application scenarios: smart grooming tools, long-haired pet care, pet health management. | 当用户提供梳毛器区域的视频/图像URL或文件时,触发本技能进行毛发表面状态分析;支持通过上传本地视频/图片或网络URL,调用服务端API进行识别,检测打结面积占比、梳下毛发量(堆积面积),输出毛球风险等级,帮助预防毛球症。应用场景:智能梳毛器、长毛宠物护理、宠物健康管理。
01.6k534/30dPet Body Condition Score 3D Analysis | 宠物体态3D评分(BCS)
@smyx-sunjinhuiTriggers when a user provides multi-angle pet videos (standing/side/top-down view) URL or files for analysis; supports local video uploads or network URLs to call server-side APIs for 3D body shape reconstruction and Body Condition Score (BCS, 1-9) evaluation, classifying body type as underweight, ideal, or overweight/obese, outputting standardized observation data (without diagnosing diseases or prescribing treatment). Application scenarios: smart feeders, pet cameras, pet health management platforms. Development reason: early warning for obesity-related diseases, scientific weight management. | 当用户提供宠物多角度视频(站立、侧身、俯视)的URL或文件时,触发本技能进行3D体型构建与BCS体况评分;支持通过上传本地视频或网络视频URL,调用服务端API进行体态分析,自动评估体况评分(1-9分),判断偏瘦、正常或肥胖,输出标准化体态观察结果(不诊断疾病、不提供治疗建议)。应用场景:智能喂食器、宠物摄像头、宠物健康管理平台。
01.4k534/30dFish Respiratory Rate (Gill Opening / Closing) Monitor | 鱼类呼吸频率(鳃盖开合)监测
@smyx-sunjinhuiThrough fixed cameras on aquariums, the system analyzes fish gill-cover opening / closing motion video, detects periodic gill opening and closing, and calculates respiratory rate (breaths per minute). | 通过鱼缸固定摄像头,分析鱼类的鳃盖开合运动视频,检测鳃盖的周期性开启和闭合,计算呼吸频率(次/分钟)。当呼吸频率超过正常阈值(例如 > 80 次/分钟,具体依品种和水温而定)时,输出'缺氧预警',提示用户检查水质(溶氧量)、水温或鱼的健康状态。
01.4k532/30dDietary Behavior Health Analyzer | 饮食行为健康分析工具
@smyx-sunjinhuiAnalyzes videos to evaluate human eating behaviors, habits, and dietary patterns. It identifies tendencies towards unhealthy eating and provides structured analysis reports along with nutritional improvement recommendations. | 饮食行为健康分析工具,针对人的饮食行为、进食习惯、饮食结构进行视频分析,识别不良饮食行为倾向,提供结构化分析报告和营养改善建议
51.7k529/30dPlant Vitality Index | 植物整体活力指数(综合评分)
@smyx-sunjinhuiUsing a plant-monitoring platform that periodically (e.g., daily) collects plant images, environmental data, and growth metrics (new bud count, leaf-area change, leaf color), an AI evaluation model fuses leaf color (chlorophyll index), morphology (spread, leaf size), and growth dynamics (new buds, leaf-area growth rate) to output an overall vitality score from 0-100 along with a trend (rising / stable / declining). | 通过植物监测平台定期(如每天)采集的植物图像、环境数据以及生长指标(如新芽数、叶片面积变化、叶色),利用AI综合评估模型融合叶片颜色(叶绿素指数)、形态(舒展度、叶片大小)、生长动态(新芽萌发数、叶面积增长率),输出0-100的整体活力评分,并给出活力趋势(上升/稳定/下降)。
01.4k529/30dPregnant Prolonged-Standing / Over-Fatigue Detection | 孕妇久站/过度劳累识别
@smyx-sunjinhuiUses a fixed home camera to detect prolonged standing, bending, and related posture of a pregnant woman, track standing duration and bending frequency, and assess fatigue risk. It sends rest reminders via speaker or app when tiring behavior is found. Suitable for homes, prenatal schools, community health centers, and smart-home or pregnancy apps. For health reference only, not medical diagnosis. | 通过家庭固定摄像头识别孕妇久站、弯腰等姿态,统计连续站立时长和弯腰频次,评估孕期劳累风险。发现久站、频繁弯腰或疑似重体力活动时,生成休息提醒,并可通过智能音箱或手机App推送。适用于家庭、孕妇学校、社区健康中心,可接入智能家居或孕期管理应用;结果仅供健康参考,不替代医生诊断。
01.7k528/30dUAV Farm Health Index Map | 无人机农田健康指数图生成
@18072937735Using multispectral or high-resolution RGB cameras mounted on agricultural UAVs to capture orthophotos or mosaics of farmland, AI models compute vegetation indices (e.g., NDVI, NDRE) and generate a farm health-index heatmap, where colors distinguish crop vigor (red = poor, yellow = medium, green = healthy). | 通过农业无人机平台搭载的多光谱或高分辨率RGB相机,采集农田的正射影像或拼接图,利用AI模型计算植被指数(如归一化植被指数NDVI、归一化红边指数NDRE等),生成农田健康指数热力图,用颜色区分作物长势(红色代表健康差、黄色代表中等、绿色代表健康)。该技能可快速识别问题区域(如缺肥、缺水、病虫害、杂草),指导精准变量施肥或植保作业。
01.6k528/30dPet Sneeze / Cough Detection | 宠物睡眠质量分析(时长/翻滚次数)
@18072937735AI-powered pet sleep quality analysis from a fixed bed/rest-area camera. Uses motion detection and pose recognition to distinguish sleeping vs. awake states, accumulates total sleep duration, counts roll-overs / position changes and startle-awakenings, and outputs a 0-100 sleep-quality score. Helps owners spot potential pain, anxiety, or disease early. Scenarios: home nighttime monitoring, senior pet health management, animal hospital wards, pet boarding centers. | 通过宠物窝或休息区固定摄像头,在夜间(或宠物主要睡眠时段)持续分析视频,利用运动检测和姿态识别技术判断宠物处于静止(睡眠)或活动(觉醒)状态,累计睡眠总时长,并统计翻身次数、惊醒频次,输出睡眠质量评分(0-100分),帮助主人了解宠物的睡眠健康,识别潜在的疼痛、焦虑或疾病。应用场景:宠物家庭夜间监护、老年宠物健康管理、宠物医院住院观察、寄养中心。
01.5k524/30dLiving-Alone Sleep Rhythm Anomaly Analysis | 独居者作息规律异常分析
@18072937735Using a fixed camera in the living room or bedroom of a person living alone, the system continuously analyzes night video (typically 22:00-06:00) to detect lights-off time (when light sources turn off) and early-morning activity (human movement or body motion between 0-6 AM). It builds a personal historical baseline (e.g., average lights-off time and early-morning activity frequency over the past 7-14 days). | 通过家庭客厅或卧室固定摄像头,夜间(通常指22:00-6:00)连续分析视频,检测熄灯时间(光源关闭的时刻)、凌晨活动(0-6点期间的人体移动或肢体动作)。建立个人历史基线(如过去7-14天的平均熄灯时间和凌晨活动频率),当当前熄灯时间比基线延迟超过2小时,或凌晨活动频次显著增加(如超出基线2个标准差)时,输出'作息规律异常'提醒。
01.5k522/30dElderly Gait Instability / Shuffling Step Detection | 老年人步态不稳/小碎步识别
@smyx-sunjinhuiUsing a fixed camera in a hallway or living room to record video of an elderly person walking in a straight line, AI pose estimation and gait analysis extract parameters such as step length (cm), gait speed (m/s), trunk sway angle (left-right tilt), and cadence to evaluate gait stability. | 通过走廊或客厅的固定摄像头拍摄老年人直线行走的视频,利用AI姿态估计和步态分析技术检测步幅长度(cm)、步速(m/s)、躯干摇摆角度(左右倾斜度)以及步频等参数,评估步态稳定性。当步幅过小(小碎步)、步速过慢、躯干摇摆幅度过大时,输出跌倒风险等级(低/中/高)。
01.2k522/30dPet Water Fountain Intake Analysis | 宠物饮水机饮水量精准记录
@smyx-sunjinhuiTriggers when a user provides a pet water fountain area video URL or file for analysis; supports local video uploads or network URLs to call server-side APIs for water intake behavior recognition, tracking drinking frequency, single-session duration, and estimated daily intake per pet, comparing against historical baselines to detect sudden drops or spikes in water consumption, outputting early warning alerts for potential kidney disease or diabetes risk. Application scenarios: smart water fountains, multi-pet household health monitoring, pet chronic disease management. | 当用户提供饮水机区域视频URL或文件时,触发本技能进行饮水量行为分析;支持通过上传本地视频或网络视频URL,调用服务端API进行饮水行为识别,统计每只宠物的饮水次数、单次时长、日总饮水量,对比历史基线,对饮水骤降或骤升进行预警,辅助早期发现肾病或糖尿病风险。应用场景:智能饮水机、多宠家庭健康监测、宠物慢性病管理。
01.3k521/30dMental Health Analysis Tool | 心理健康分析工具
@smyx-sunjinhuiAnalyzes human mental health and psychological behavior, supports identifying common psychological problem tendencies through video analysis, and provides structured mental health analysis reports and improvement suggestions. | 心理健康分析工具,针对人的心理健康和心理行为进行分析,支持通过视频分析识别常见心理问题倾向,提供结构化心理健康分析报告和改善建议
51.7k520/30dFish Aquatic Pet Health Diagnosis Analysis Tool | 鱼类水族宠物健康诊断分析工具
@smyx-sunjinhuiWhen a user provides a video URL or file of aquatic pets such as goldfish, koi, betta, shrimp, crab, etc. for analysis, this skill is triggered to perform aquatic pet health diagnosis analysis. Supports uploading local videos or online video URLs, calls server-side API for aquatic pet health examination, analyzes features such as scales, fins, body color, activity level, identifies potential diseases and outputs a pet health report. | 鱼类水族宠物健康诊断分析工具,当用户提供金鱼、锦鲤、斗鱼、虾、蟹等水族宠物的视频 URL 或文件需要分析时,触发本技能进行水族宠物健康诊断分析;支持通过上传本地视频或网络视频 URL,调用服务端 API 进行水族宠物健康检查,分析鳞片、鱼鳍、体色、活跃度等特征,识别潜在疾病并输出宠安卫士健康报告
41.6k520/30dLawn Health Assessment | 草坪枯黄率与杂草密度评估
@smyx-sunjinhuiAI-powered lawn health assessment from drone or fixed-camera top-down images. Uses semantic segmentation to distinguish healthy turf (green), wilting/yellow turf (yellow-brown), bare soil and weeds (off-species color/texture), then computes wilting area ratio and weed coverage ratio, and outputs a composite lawn health score (0-100). Helps managers of golf courses, courtyards or municipal greenways quantify turf quality and guide irrigation, fertilization and weeding operations. Scenarios: home courtyards, golf courses, municipal park lawns, sports fields. | 通过无人机或固定摄像头拍摄草坪的俯视图像,利用AI语义分割技术区分健康草坪(绿色)、枯黄草坪(黄/褐色)、裸土以及杂草(非目标草种,颜色和纹理不同),计算枯黄面积占比和杂草覆盖面积占比,综合评估草坪健康评分(0-100分)。该技能有助于高尔夫球场、庭院或市政绿地管理者量化草坪质量,指导灌溉、施肥及除草作业。应用场景:家庭庭院、高尔夫球场、市政公园草坪、运动场。
01.3k520/30dAquarium Plant Health Monitor | 水族箱水草健康监测
@smyx-sunjinhuiAI-powered aquatic plant health monitoring from aquarium camera images. Detects leaf color changes (yellowing, bleaching, blackening), morphological anomalies (melting, curling, holes), and iron deficiency symptoms in submerged plants. Outputs health assessment and care suggestions (e.g., supplement iron fertilizer, adjust lighting, increase CO₂). Helps early detection of aquatic plant issues and maintains aquarium ecological balance. Scenarios: smart fish tanks, aquascaping tanks, aquarium shops. | 通过智能鱼缸或水下摄像头拍摄水草的图像,利用AI视觉分析技术识别水草叶片的颜色变化(黄化、白化、发黑)、形态异常(溶叶、卷曲、穿孔)以及缺铁等典型症状,输出健康评估及养护建议(如补充铁肥、调整光照、增加CO₂)。有助于及早发现水草生长问题,维持水族箱生态平衡。应用场景:智能鱼缸、水族箱、水草造景缸、水族店。
01.3k520/30dPet Vomiting / Regurgitation Detection | 宠物呕吐/反流行为识别
@18072937735AI-powered pet vomiting and regurgitation detection from indoor fixed-camera video. Identifies rhythmic abdominal contractions, head-forward extension, and mouth opening actions, plus detects vomitus on the floor (food, hairball, bile). Records event time, frequency, and vomitus characteristics for early digestive issue discovery. Scenarios: daily home health monitoring, multi-pet households, senior pet care, animal hospital inpatient observation. | 通过室内固定摄像头分析宠物活动区域的连续视频,利用动作识别技术检测宠物的呕吐或反流行为(包括腹部节律性收缩、口部张合、头部前伸等典型动作),同时识别地面是否出现呕吐物(食物残渣、毛球、黄色胆汁等),记录发生时间、频次以及呕吐物特征。有助于主人及早发现宠物的消化系统问题,避免延误治疗。应用场景:宠物家庭日常健康监护、多宠家庭、老年宠物护理、宠物医院住院观察。
01.4k516/30dCommuter After-Work Fatigue Care (Home-Arrival Moment) | 上班族下班疲劳关怀(回家时刻)
@smyx-sunjinhuiThrough a fixed camera in a smart-home living room, the system analyzes office worker behavior in the first 30 minutes after coming home, detecting slumped sitting / reclining (relaxed posture, back-to-sofa angle > 120°), facial fatigue features (visible eye bags, downturned mouth corners, frequent blinking), and sighing frequency (rapid chest/abdomen rise-fall with audible exhale). | 通过智能家居客厅的固定摄像头,分析上班族回家后30分钟内的行为,检测瘫坐/斜躺(姿态放松、背部与沙发夹角>120°)、面部疲惫特征(眼袋明显、嘴角下垂、频繁眨眼)、叹气频次(胸腹快速起伏伴呼气声)。当疲劳指数超过阈值时,通过智能音箱主动播报关怀语音(如'辛苦了,喝杯水休息一下'),并播放舒缓音乐。
01.3k516/30dPet Body Condition & Health Analysis Skill | 宠物体态健康分析技能
@18072937735Identifies obesity, emaciation, external injuries, skin abnormalities, and abnormal mental states, helping pet owners detect health issues promptly. | 宠物体态健康分析技能,识别肥胖、消瘦、外伤、皮肤异常、精神状态异常,帮助宠物主人及时发现宠物健康问题
51.8k511/30dVisual Emotion Recognition Skill | 人体视觉情绪识别技能
@18072937735Uses visual AI on frontal faces to recognize multi-dimensional emotions like happiness, sadness, depression, calmness, anger, surprise, and fear in real-time. Supports emotion intensity quantification and abnormal emotion marking, suitable for human-computer interaction and mental health monitoring. | 人体视觉情绪识别技能,基于正面人脸视觉AI实时识别快乐、悲伤、抑郁、平静、愤怒、惊讶、恐惧等多维度情绪状态,支持情绪强度量化与异常情绪标记,适配人机交互、心理健康监测场景
51.7k511/30dRespiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具
@18072937735Based on computer vision, automatically detects coughing, phlegm, and wheezing frequency, counts the frequency of episodes, used for early health anomaly alerts, helping to detect respiratory diseases in a timely manner. | 呼吸道症状智能识别技能,基于计算机视觉自动检测咳嗽、咳痰、喘息频率,统计发作频次,用于健康异常早期提醒,帮助及时发现呼吸道疾病
51.9k510/30dElderly Facial Asymmetry / Mouth-Corner Deviation Detection | 老年人面部不对称/口角歪斜识别
@smyx-sunjinhuiUsing a fixed home camera to capture frontal facial images or short videos of the elderly, the system uses AI facial-landmark detection to analyze features such as the height difference between left/right mouth corners, the symmetry of nasolabial folds (smile lines), and the asymmetry of eyebrow lifts, and computes a facial asymmetry index (0-100%). | 通过家庭固定摄像头拍摄老年人正面面部图像或视频,利用AI面部关键点检测技术分析左右嘴角的高度差、鼻唇沟(法令纹)的对称性、眉毛抬高的差异等特征,计算面部不对称指数(0-100%)。该技能可作为脑卒中(中风)前兆的辅助筛查工具,提示家属或护理人员关注老年人是否存在面瘫、口角歪斜等神经系统异常,及时就医。
01.4k507/30dDriver Facial Flushing / Sweat Abnormality Detection | 驾驶员面部潮红/出汗异常检测
@smyx-sunjinhuiUsing an in-cabin DMS camera, the system analyzes the driver's facial video in real time, detecting skin color variation (flush index, derived from red-channel ratio in RGB or skin-color models) and sweat-droplet / reflective area (via image texture and reflection features). | 通过车载DMS摄像头实时分析驾驶员面部视频,检测面部肤色变化(潮红指数,通过RGB色空间中的红色分量比例或肤色模型)以及汗珠/反光面积(通过图像纹理和反射特征)。当潮红指数显著升高(可能提示血压升高、发热或情绪激动)或出汗区域面积超过阈值(可能提示热应激、低血糖或心脏问题)时,输出健康风险提醒,建议驾驶员停车休息或就医。
01.6k505/30dOffice Prolonged Sitting & Posture Warning | 成人久坐/姿态预警(办公室)
@18072937735Using a fixed camera in the office (aimed at the workstation), the system analyzes office workers' sitting-posture video in real time, detecting continuous sitting duration, neck forward angle (head offset relative to shoulders), and back curvature (hunchback degree). | 通过办公区固定摄像头(对准工位)实时分析办公人员的坐姿视频,检测连续坐姿时间、颈部前倾角度(头部相对于肩部的偏移)、背部弯曲度(驼背程度)。当久坐时间超过预设阈值(默认1小时)且未起身活动时,输出'久坐提醒';当颈部前倾角>20°或背部弯曲超过阈值时,输出'姿态异常提醒'。
01.7k504/30dOrnamental Fish Color Brightness Assessment | 观赏鱼体色鲜艳度评估
@smyx-sunjinhuiThrough fixed aquarium cameras, the system periodically captures high-definition side images of ornamental fish (such as koi, goldfish, tropical fish), and uses AI vision analysis to extract color saturation (HSV-S channel) and brightness (HSV-V channel) of specific body regions (e.g. mid-trunk), compares them with healthy standard color ranges of the same species (built-in database or user-defined), and outputs a vibrancy. | 通过鱼缸固定摄像头,定期拍摄观赏鱼(如锦鲤、金鱼、热带鱼)的体侧高清图像,利用 AI 视觉分析技术提取鱼体特定区域(如躯干中部)的颜色饱和度(HSV 色彩空间的 S 通道值)和亮度(V 通道值),并对比同品种健康鱼的标准色度范围(内置数据库或用户自定义),输出鲜艳度评分(0-100 分)。当评分低于阈值(如 < 50)时,提示'体色暗淡',可能为疾病、营养不良或水质不良的信号。
01.2k503/30dPet Daily Health Monitoring & Analysis Tool | 宠物日常健康监测分析工具
@18072937735Based on computer vision, analyzes pet health indicators such as feeding frequency, drinking frequency, excretion status, mental state, vomiting behavior, and limping abnormalities through camera/feeder monitoring videos, promptly detects abnormal pet health conditions, and outputs health monitoring reports. | 宠物日常健康监测分析技能,基于计算机视觉通过摄像头/喂食器监控视频分析宠物的进食频次、饮水频次、排泄状态、精神状态、呕吐行为、跛行异常等健康指标,及时发现宠物异常健康状况,输出健康监测报告
41.7k501/30dReptile Pet Health Diagnosis Tool | 爬行类宠物健康诊断分析工具
@smyx-sunjinhuiTriggers diagnostic analysis when users provide video URLs or files for reptiles such as lizards, snakes, and spiders. Supports uploading local videos or network URLs to call the server-side API for health checks. It analyzes features like scales, skin, and body appearance to identify potential diseases and generate a Pet Safety Guardian health report. | 爬行类宠物健康诊断分析工具,当用户提供蜥蜴、蛇、蜘蛛等爬行宠物的视频 URL 或文件需要分析时,触发本技能进行爬行宠物健康诊断分析;支持通过上传本地视频或网络视频 URL,调用服务端 API 进行爬行宠物健康检查,分析鳞片、皮肤、身体外观等特征,识别潜在疾病并输出宠安卫士健康报告
41.6k498/30dPet Vocal Emotion Deep Classification | 宠物叫声情绪深度分类
@smyx-sunjinhuiTriggers when a user provides a pet vocalization audio/video URL or file for analysis; extracts acoustic features such as frequency, duration, interval, and harmonic structure via AI audio analysis, and classifies the vocalization into 6+ emotion categories (howling, growling, excitement, loneliness, fear, whining/coaxing) with confidence scores. Helps owners understand pet emotional states, improve human-pet interaction, and detect potential stress or health issues early. Application: daily companionship (smart camera / collar), boarding center mood monitoring, vet clinic calming assessment, behavior training assistance. Does NOT provide medical or behavior-modification advice — only outputs audio-based emotion classification results with confidence. | 当用户提供宠物(犬/猫)叫声音频或视频URL/文件时,触发本技能进行叫声情绪深度分类分析;利用AI音频分析技术提取频率、时长、间隔、谐波结构等声学特征,将叫声分类为哀嚎、低吼、兴奋、孤独、恐惧、撒娇等6种以上情绪类别,并输出置信度;帮助宠物主人理解宠物情绪状态,改善人宠互动,及时发现潜在压力或健康问题。应用场景:宠物家庭日常陪伴(智能摄像头/项圈)、寄养中心情绪监测、宠物医院安抚评估、行为训练辅助。仅输出基于音频的情绪分类结果及置信度,不提供医疗或行为矫正建议。
01.3k491/30dPet Litter Box Usage Monitor (Frequency & Duration) | 宠物猫砂盆使用频次与时长
@smyx-sunjinhuiTriggers when a user provides a litter-box area video URL or file for analysis; uses object detection and tracking to identify each cat's entry/exit times at the litter box, records daily usage frequency and per-visit duration (entry → exit), and compares against the historical baseline. When frequency rises/falls significantly, or per-visit duration is abnormally long/short, outputs a urinary-disease (cystitis, urinary obstruction, kidney disease) early-warning alert. Especially useful for individualized health management in multi-cat households. Application: multi-cat homes, catteries, vet hospital inpatient wards, boarding centers. Does NOT provide medical diagnosis — only outputs behavior-statistics-based alerts. | 当用户提供猫砂盆区域视频URL或文件时,触发本技能进行使用频次与时长分析;通过智能猫砂盆或固定摄像头分析视频,利用目标检测和跟踪技术识别每只猫咪进出猫砂盆的时刻,记录每日使用频次、单次停留时长(从进入至离开),并与历史基线对比;若频次显著增减或单次时长异常,则输出泌尿系统疾病(膀胱炎、尿闭、肾病等)预警,有助于多猫家庭的个体化管理及早发现健康问题。应用场景:多猫家庭、猫舍、宠物医院住院部、宠物寄养中心。仅输出基于行为统计的提示,不提供医疗诊断。
01.3k490/30dFamily / Couple Conflict Intensity Detection | 夫妻/家庭争吵强度识别
@smyx-sunjinhuiUsing a fixed camera with microphone in the living room, the system analyzes audio and video in real time, detecting sound intensity (dB) and the intensity of body movements (e.g., rapid hand waving, finger pointing, pushing, throwing objects). It comprehensively evaluates the family conflict intensity level (low / medium / high). | 通过客厅固定摄像头(含麦克风),实时分析音频和视频,检测声音强度(分贝)和肢体动作激烈程度(如快速挥手、戳指、推搡、摔物等)。综合评估家庭争吵的冲突强度等级(低/中/高),当强度达到中或高时,通过手机APP推送提醒(如'检测到高强度冲突,建议冷静沟通或暂时分开')。
01.2k482/30dTCM Constitution Identification & Analysis Tool | 中医体质识别分析工具
@18072937735Determines nine TCM constitution types including Yin deficiency, Yang deficiency, Qi deficiency, phlegm-dampness, and blood stasis through facial features and physical signs, and provides personalized health preservation and conditioning suggestions. | 中医体质识别分析技能,通过面部特征与体征判别阴虚、阳虚、气虚、痰湿、血瘀等九种中医体质类型,给出个性化养生调理建议
51.6k480/30dPet Ear Health Snapshot & Redness Recognition | 宠物耳道健康抓拍与红肿识别
@smyx-sunjinhuiTriggers when a user provides a pet ear/scratching/head-shaking video URL or file for analysis; uses smart camera to monitor head-shaking and ear-scratching actions, automatically captures HD ear-canal images, and applies AI vision analysis to identify ear-canal color (pink/red/dark red), presence of black granular discharge (ear mites), and degree of earwax accumulation. When redness, large discharge or suspected ear mites are detected, outputs abnormality alerts and recommends owner check-up or veterinary visit. Application: pet families, boarding centers, pet hospital pre-screening. Helps early detection of ear-canal diseases and prevents deterioration. | 当用户提供宠物甩耳、挠耳或耳道抓拍视频URL或文件时,触发本技能进行耳道健康监测分析;通过智能摄像头实时监测甩耳/挠耳动作,自动触发高清抓拍耳道内部图像,利用AI视觉分析识别耳道颜色(粉红/红/暗红)、有无黑色颗粒状分泌物(耳螨)、耳垢堆积程度等异常指标;当检测到红肿、大量分泌物或疑似耳螨时,输出异常提示,建议主人进一步检查或就医,仅输出基于视觉的客观描述与建议,不提供医疗诊断。应用场景:宠物家庭日常健康监测、寄养中心批量监控、宠物医院预检。
01.4k478/30dPsychological Stress Assessment Skill | 心理压力评估技能
@smyx-sunjinhuiCombines facial blood flow and emotional characteristics to analyze stress index, anxiety tendency, and depression tendency, suitable for mental health monitoring scenarios. | 心理压力评估技能,结合面部血流与情绪特征,分析压力指数、焦虑倾向、抑郁倾向,适用于心理健康监测场景
51.6k477/30dPlant Night Respiration Rate Analysis | 植物夜间呼吸作用强度估算
@smyx-sunjinhuiIn a plant factory, a fixed thermal imaging camera continuously captures thermal images of the plant canopy leaves at night (no-light period), analyzes leaf temperature trends (respiration releases heat, causing leaf temperature to be slightly higher than air temperature), and combined with optional ambient CO₂ sensor data (respiration releases CO₂ raising concentration), an AI model estimates the relative respiration. | 通过植物工厂内的固定热成像摄像头,在夜间(无光照时段)连续采集植物冠层叶片的热图像,分析叶片温度变化趋势(呼吸作用释放热量导致叶片温度略高于气温),结合可选的环境CO₂传感器数据(呼吸作用释放CO₂浓度升高),利用AI模型估算整株或群体的呼吸强度相对值(0-100%)。
01.4k476/30dFish Abnormal Swimming Posture (Side-swim / Upside-down) Detection | 鱼类游动姿态异常(侧游/倒立)识别
@smyx-sunjinhuiThrough fixed cameras on aquariums, the system analyzes fish swimming videos and computes the angle between the fish body axis and the horizontal plane (normal fish bodies stay nearly horizontal). | 通过鱼缸固定摄像头,分析鱼类的游动视频,检测鱼体轴线与水平面的夹角(正常鱼体基本保持水平),当鱼体倾斜角度超过阈值(默认 > 30°)或出现倒立(头部向下 > 45°)、旋转(绕自身纵轴连续翻转)等异常游姿时,标记为异常,并记录异常时长占观察总时长的比例。该技能有助于早期发现鱼鳔失调、神经系统疾病或水质中毒等健康问题,提醒养鱼爱好者及时干预。
01.3k472/30dDoctor
@ivangdavilaTriages symptoms, reads lab results and medication risks, and says how urgent something is: emergency now, seen today, or safe to watch. Use when someone describes chest pain, a headache, fever, a rash, dizziness, abdominal or back pain, a cough that will not clear, a lump, or unexplained weight loss and wants to know whether to go to the emergency room; when blood work, imaging, or a screening letter needs reading; when two medicines or supplements may interact, a dose looks wrong, or a side effect started; when a long-term condition — blood pressure, diabetes, asthma, thyroid, cholesterol — needs targets and monitoring; when preparing for an appointment, a second opinion, or a referral; and for a child's fever, a mood or drinking screen, contraception and menopause, or an older relative's medication load. Not step-by-step first-aid drills (`first-aid`), therapy technique (`therapist`), or cycle, pregnancy, and baby tracking (`period`, `pregnancy`, `baby`).
43.5k471/30dOutdoor Sports Event Risk Analysis Tool | 户外体育赛事风险分析工具
@smyx-sunjinhuiConducts video safety risk analysis for participants in outdoor sports competitions, long-distance running, marathons, etc.; identifies sports injuries and sudden health risks, outputs professional analysis reports, and provides timely warnings to ensure sports safety. | 户外体育赛事风险分析工具,针对户外体育比赛、长跑马拉松等运动项目的参赛人员进行视频安全风险分析,识别运动损伤和突发健康风险,输出专业分析报告,及时预警保障运动安全
31.6k469/30dvmware-pilot
@zw008Use this skill whenever the user wants to design, execute, or manage complex multi-step VMware workflows with human approval and automatic rollback. Pilot is the orchestration brain — it breaks a goal into steps across companion VMware skills (aiops, monitor, nsx, nsx-security, aria, vks, storage, avi), adds approval gates before destructive operations, and rolls back automatically if anything fails. Always use vmware-pilot for: "clone and test before applying to production", "VMware incident response with checkpoints", "investigate alert root cause", "VMware rolling restart with health checks", "baseline capture and drift detection", "rolling maintenance with AVI drain", or any VMware workflow needing approval gates or rollback. 15 built-in templates + custom YAML + AI-designed workflows. Do NOT use for single-step work — use vmware-aiops for one VM action, vmware-monitor for read-only queries, vmware-avi for load balancer queries.
11.7k467/30dContactless Health Risk Screening Tool | 非接触式健康风险检测分析工具
@18072937735Combines frontal facial image capture with multimodal physiological feature analysis to provide early risk screening and alerts for chronic and acute conditions such as heart attack, stroke, hypertension, and hyperlipidemia. | 非接触式健康风险识别技能,通过正面人像采集结合多模态生理特征分析,提供心梗、脑梗、高血压、高血脂等慢病急症早期风险筛查预警
51.6k461/30dEmployee Emotion Fluctuation HR Report | 员工入职/离职情绪波动预警(HR方向)
@smyx-sunjinhuiUsing fixed cameras in enterprise office areas (with employee consent and anonymization), the system performs long-term monitoring of employees' facial expressions and posture features, building per-person historical baselines (smile frequency, sigh count, frown level, etc.). | 通过企业办公区固定摄像头(需征得员工同意并匿名化处理),长期监测员工的面部表情和姿态特征,建立个人历史基线(如笑容频率、叹气次数、皱眉程度等)。当检测到某员工近期的笑容频率显著下降(例如比基线降低40%)、叹气次数增加(例如比基线增加50%)或与其他异常行为(社交回避、长时间独自静坐)时,输出情绪波动预警,提醒HR或管理者进行关怀沟通。
01.2k452/30dCat & Dog Health Diagnostic Analysis Tool | 猫狗宠物健康诊断分析工具
@smyx-sunjinhuiTriggers when a user provides a video URL or file of a pet (cat/dog/bird) for analysis; supports local video uploads or network URLs to call server-side APIs for health checks, analyzing features like fur, body, and face to identify potential diseases and generate a Pet Safety Guardian health report. | 猫狗宠物健康诊断分析工具,当用户提供猫/狗/鸟等宠物的视频 URL 或文件需要分析时,触发本技能进行宠物健康诊断分析;支持通过上传本地视频或网络视频 URL,调用服务端 API 进行宠物健康检查,分析毛发、身体、脸部等特征,识别潜在疾病并输出宠安卫士健康报告
51.6k451/30dAdult Facial Fatigue / Stress Index | 成人面部疲劳/压力指数分析
@smyx-sunjinhuiUsing a smart mirror or fixed camera, the system analyzes high-resolution adult facial images or short videos to detect physiological features such as under-eye bag area (puffiness/shadow under the lower eyelid), dark-circle grayscale (darkness around the eyes), mouth-corner drop angle (angle between corner of mouth and horizontal), and glabellar frown lines (vertical lines between the brows), and computes a comprehensive. | 通过智能镜子或固定摄像头,分析成人面部的高清图像或视频,检测眼袋面积(下眼睑区域的浮肿或阴影面积)、黑眼圈灰度(眼眶区域的暗沉程度)、嘴角下垂角度(口角与水平线的夹角)以及皱眉纹(眉间川字纹)等生理特征,综合计算疲劳/压力指数(0-100分)。该技能可用于职场健康管理、个人状态监测,辅助了解自身精力水平。
01.2k450/30dWorkplace Group Stress Heatmap | 职场员工压力群体热力图
@smyx-sunjinhuiUsing fixed cameras in enterprise office areas (open-plan workstations), the system anonymously analyzes multiple employees' facial expressions (e.g., frowning, downturned mouth corners) and postures (e.g., rigid sitting, forward leaning, frequent eye rubbing), and applies a group-level stress assessment model to compute a real-time stress index for each workstation zone, generating a stress distribution heatmap of the entire. | 通过企业办公区(开放式工位)的固定摄像头,匿名分析多名员工的面部表情(如皱眉、嘴角下垂)和姿态(如僵坐、前倾、频繁揉眼),使用群体压力评估模型计算每个工位区域的实时压力指数,生成整个办公区的压力分布热力图(颜色从绿到红,绿色代表低压力,红色代表高压力)。系统定期(如每小时)生成压力热力图,用于组织健康度监测。
01.3k447/30dFish Fry Growth Rate Measurement (via Reference Object) | 鱼苗生长速度测量(通过参照物)
@smyx-sunjinhuiThrough fixed cameras of fry tanks (a known-size reference object such as a scale ruler, standard coin or calibration board must be placed in the view), the system periodically (e.g. daily or weekly) captures fry images and uses AI vision analysis to measure body length (from snout to tail-fin tip, in mm), record individual growth rate (mm/day) and draw the growth curve. | 通过鱼苗缸固定摄像头(需放置已知尺寸的参照物,如刻度尺、标准硬币或标定板),定期(如每天或每周)拍摄鱼苗图像,利用 AI 视觉分析技术测量鱼苗体长(从吻端到尾鳍末端,单位 mm),记录个体的生长速率(mm/天),并绘制生长曲线。系统自动采集图像,生成生长报告,异常时提示(如生长停滞)。
01.2k435/30damazon-listing-audit-pro
@apiclawComprehensive listing health check and optimization engine for Amazon sellers. Scores listings across 8 dimensions, benchmarks against category leaders, identifies keyword gaps, and generates data-backed improvement recommendations. Supports single ASIN or bulk audit (10-100+ ASINs for agencies). Uses all 11 ZooData API endpoints with cross-validation. Use when user asks about: listing audit, listing optimization, listing score, listing quality, improve my listing, listing review, listing diagnosis, title optimization, bullet point optimization, keyword gaps, listing benchmark, A+ content, listing health check, listing comparison. Requires ZOODATA_API_KEY.
01.3k418/30dThermal Relative Fever Screening (Multi-Person Gathering) | 家庭多人聚集时体温相对异常检测
@smyx-sunjinhuiUsing a fixed thermal-imaging camera installed in public areas (e.g., living room, dining room), the system automatically analyzes each person's skin-surface temperature (usually forehead or facial region) when multiple people gather, and computes the difference between an individual's temperature and the average temperature of others in the scene. | 通过安装于公共区域(如客厅、餐厅)的固定热成像摄像头,在多人聚集时自动分析每个人的体表温度(通常为额头或面部区域),计算个体温度与场景内其他人平均温度的差值。当某个人温度显著高于周边人群(差值超过预设阈值,如1.5℃)时,输出'体温相对异常'提醒,建议使用额温枪复测。
01.1k341/30dHealth
@ivangdavilaProvide personalized wellness guidance while maintaining strict safety boundaries.
55.5k337/30dEpidBot
@fccoelhoInteract with EpidBot - AI-powered assistant for Brazilian public health data (DATASUS/SINAN)
11.1k335/30d
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