Home Skills for OpenClaw Agents

Hydroponic Nutrient Concentration Visual Assessment | 水培植物营养液浓度视觉评估

@smyx-sunjinhui

Using fixed cameras on a hydroponic growing rack to capture high-resolution images of plant roots (in transparent containers) and leaves (young and old), AI vision analysis identifies root color (white = healthy, yellow = early stress, brown = severe stress, black = rotting) and leaf morphology (tip burn, leaf-margin scorch, yellowing, curling) to judge whether the nutrient solution is too concentrated or too dilute, and. | 通过水培种植架的固定摄像头拍摄植物根系（透明容器）和叶片（新叶、老叶）的高清图像，利用AI视觉分析技术识别根须颜色（白色健康、黄色初期胁迫、褐色严重胁迫、黑色腐烂）、叶片形态（叶尖灼伤、叶缘焦枯、叶片黄化、卷曲）等特征，判断营养液浓度是否过浓或过稀，并输出调整建议（增加清水稀释或补充浓缩营养液）。

Autism Stereotyped Behavior Detection (Spinning / Hand-Flapping) | 自闭症儿童刻板行为识别（转圈/摆手）

@18072937735

Using a fixed camera in rehabilitation centers or homes, the system analyzes children's behavior videos with pose estimation and temporal action detection to recognize repetitive stereotyped behaviors, including spinning (body rotation ≥ 360°), hand flapping (non-functional repetitive arm movement), body rocking (rhythmic forward-backward or side-to-side trunk motion), etc. | 通过康复机构或家庭固定摄像头，分析儿童行为视频，利用姿态估计和时序动作检测技术识别重复性刻板动作，包括转圈（身体旋转360°以上）、摆手（手臂非功能性重复摆动）、摇晃（躯干前后或左右有节律摆动）等。该技能可辅助康复师和家长客观记录行为变化，评估干预效果。

SwitchBot OpenAPI

@switchbot-dev

Control and query SwitchBot devices using the official OpenAPI (v1.1). Use when the user asks to list SwitchBot devices, get device status, send commands, qu...

Child Outdoor Activity Duration Monitoring | 儿童户外活动时长监测

@18072937735

Using a fixed camera at the balcony door or home entrance, the system detects how many times the child enters/exits the home or balcony. With person-tracking and region-entry/exit logic, it records the timestamps of each 'leaving indoor (outdoor)' and 'returning indoor' event, and accumulates the daily total outdoor-activity duration. | 通过家庭阳台门或入户门口的固定摄像头，检测儿童进出家门或阳台的次数，利用人体跟踪和区域进出判定技术，记录每次离开室内（外出）和返回室内（归来）的时间点，累计每日户外活动总时长。当当日总时长低于预设推荐值（默认建议学龄儿童每天至少1小时户外活动）时，输出'户外活动不足'提醒，建议家长带孩子增加户外时间。

Fall Detection & Analysis Skill | 跌倒检测分析技能

@18072937735

Detects whether anyone has fallen within a specified target area. Supports both image and short video analysis. Suitable for scenarios such as home care for elderly people living alone and safety monitoring in nursing homes. | 检测目标区域内是否有人跌倒，支持图片和短视频检测，适用于独居老人居家看护、养老院安全监测等场景

Dementia Confusion / Disorientation Recognition and Orientation Soothing | 失智老人困惑/迷惘识别与定向安抚

@smyx-sunjinhui

Through fixed cameras (and optional microphones) in dementia care facilities or homes, the system analyzes behaviors of people with dementia to identify confusion/disorientation states: sudden activity stops (interrupting ongoing actions such as eating or walking for ≥ 5 seconds), gaze drifting (eyes wandering without focus), looking around (frequent head turning), and repeated disorientation questions ('Where is this?'. | 通过失智照护机构或家庭固定摄像头（及可选麦克风），分析失智老人的行为，识别困惑/迷惘状态：突然停止活动（中断正在进行的动作，如吃饭、行走 ≥ 5 秒）、眼神游离（视线漫无目的漂移、不聚焦）、四处张望（头部频繁转动）、反复询问'这是哪''现在几点''你是谁'等定向障碍问题（需配合声纹或语音识别）。

Elderly Loneliness / Depression-Tendency Behavior Analysis | 老年人孤独/抑郁倾向行为分析

@smyx-sunjinhui

Using 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。

Child Focus / Distraction Period Analysis | 儿童专注度与走神时段分析

@smyx-sunjinhui

Using the camera built into a smart desk lamp or a tabletop camera, the system analyzes video of the child's study area in real time, detecting behavioral indicators such as face orientation (whether it deviates from the book/screen), eye gaze direction, and fidgeting hand actions (playing with a pen, touching the face, fiddling with objects), and computes a per-minute focus score (0-100) while recording distraction periods. The skill helps parents and teachers understand the child's learning state and optimize study habits. Application scenarios: smart study lamps, home study rooms, classrooms. The system monitors in real time, generates focus reports, and pushes alerts when focus stays persistently low. Skill features: improve learning efficiency. | 通过智能台灯内置摄像头或桌面摄像头，实时分析儿童学习区域的视频，检测面部朝向（是否偏离书本/屏幕）、眼部注视方向、手部小动作（玩笔、摸脸、摆弄物品）等行为指标，计算每分钟专注得分（0-100分），并记录走神时段。该技能可帮助家长和教师了解儿童学习状态，优化学习习惯。应用场景：智能学习台灯、家庭书房、教室。系统实时监测，生成专注度报告，当专注度持续偏低时推送提醒。技能特点：提升学习效率。

Pet Grooming Effect Assessment (Mats/Dandruff) | 宠物梳毛效果评估（毛结/皮屑）

@smyx-sunjinhui

AI-powered pet grooming effect assessment: detects mat residue area, dandruff coverage, and coat smoothness from post-grooming images, outputs a 0-100 grooming score with targeted re-grooming suggestions. Scenarios: daily home grooming, pet salon quality check, long-hair cat/dog shedding season management. | 通过智能梳毛器或普通摄像头拍摄梳毛后的宠物皮肤和毛发高清图像，利用AI图像识别技术检测毛结团块残留面积、皮屑覆盖率以及毛发顺滑度，自动评估本次梳毛效果，并提示是否需要进行二次梳理或进一步护理。有助于宠物主人判断梳毛是否彻底，预防毛球症和皮肤问题。应用场景：宠物家庭日常梳理、宠物美容店服务质检、长毛猫/犬换毛期管理。

Indoor Plant Light Stress Detection | 室内植物光照不足/过强识别

@smyx-sunjinhui

Detects and analyzes indoor plant light stress from images and optional lux data, identifying low or excessive light symptoms and suggesting adjustments.

Pregnancy Emotion Soothing | 孕妇情绪波动舒缓

@18072937735

Through 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'）。

Pet Poop Auto-Clean Trigger (Robot Vacuum Integration) | 宠物排便自动清理触发（联动扫地机）

@smyx-sunjinhui

Triggers when a user provides a dog toilet / pet defecation-zone video URL or file for analysis; uses a fixed camera on the dog toilet or designated defecation area to monitor video in real time, detects whether the pet is defecating (presence of feces) and, once the pet leaves the area, automatically outputs a cleaning trigger signal that can drive a robot vacuum to that spot for cleanup. Enables fully automated pet-waste handling, reduces owner workload, and keeps the home hygienic. Application: indoor dog toilets, balcony defecation zones, pet kennels. Does NOT provide medical diagnosis — only outputs vision-based event detection results. | 当用户提供狗厕所或宠物固定排便区域视频URL或文件时，触发本技能进行排便事件检测分析；通过安装在狗厕所或宠物固定排便区域的摄像头实时分析视频，识别宠物是否在该区域排便（粪便出现），并在宠物离开该区域后自动输出清扫触发信号，联动扫地机器人前往清理；实现宠物排泄物的即时自动化处理，减轻主人清理负担，保持居家环境卫生。应用场景：宠物家庭室内狗厕所、阳台排便区、宠物笼舍。仅输出基于视觉的事件检测结果，不进行医疗诊断。

Child Drowsiness / Fatigue Detection | 儿童打瞌睡/疲劳检测

@smyx-sunjinhui

Using 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。

Unattended Monitoring Skill | 无人陪伴监测技能

@smyx-sunjinhui

Determines when elderly people living alone have no interaction or visitors for extended periods, and actively pushes care reminders to family members, suitable for remote care scenarios for elderly people living alone at home. | 无人陪伴监测技能，判定独居老人长时间无人互动来访，主动推送关怀提醒给家属，适用于居家独居老人远程关怀场景

Fish Respiratory Rate (Gill Opening / Closing) Monitor | 鱼类呼吸频率（鳃盖开合）监测

@smyx-sunjinhui

Through 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。

Child Happy Moment Capture & Positive Reinforcement | 儿童开心时刻识别与正向激励

@18072937735

Using fixed cameras at home, kindergartens, or playgrounds, the system analyzes children's behavior and expressions in real time to identify happy moments: big laughter (mouth corners sharply raised, eyes squinted into crescents, teeth showing), jumping (both feet off the ground), clapping (rhythmic hand clapping), and joyful reactions to praise or rewards. | 通过家庭、幼儿园或游乐场的固定摄像头，实时分析儿童的行为和表情，识别开心瞬间：大笑（面部表情：嘴角大幅度上翘、眼睛眯成月牙、露出牙齿）、蹦跳（双脚离地跳跃）、拍手（双手有节奏地拍击）、以及接收到表扬或奖励时的愉悦反应。当检测到开心事件时，自动抓拍高清图片或短视频（前后2秒），生成'开心日记'推送至家长手机APP，并播放鼓励音效（如'你真棒！

Cutting Rooting Status Detection (Transparent Container) | 扦插枝条生根状态（透明容器）

@smyx-sunjinhui

AI-powered non-invasive rooting-stage detection for plant cuttings in transparent containers. From smart propagation boxes or transparent cutting containers, periodically captures images of the cutting base (water roots or substrate roots visible through the transparent wall), uses AI vision to detect white root primordia (tiny white callus dots) and count/locate them, and outputs the rooting stage (No Roots / Few Primordia / Many Primordia / Well-Developed Roots). Helps propagators monitor cutting-rooting progress without disturbing the cutting and choose the optimal transplant time. Scenarios: smart propagation boxes, home cutting propagation, tissue-culture rooms, agricultural research. | 通过智能育苗箱或透明扦插容器的固定摄像头，定期拍摄枝条基部的水生根或土培根系（通过透明壁观察），利用AI视觉分析技术识别枝条基部是否出现白色凸起根点（根原基发育形成的白色小点）以及根点的数量和分布，输出生根阶段（无生根/少量根点/大量根点/根系发达）。该技能帮助育苗者在不干扰枝条的情况下，无创监测扦插生根进度，判断移栽时机。应用场景：智能育苗箱、家庭扦插繁殖、植物组培室、农业科研。

Plant Vitality Index | 植物整体活力指数（综合评分）

@smyx-sunjinhui

Using 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）。

Pet Separation Anxiety Relief (Owner Away) | 宠物分离焦虑舒缓（主人离家时）

@smyx-sunjinhui

AI-powered pet separation anxiety detection & relief when the owner leaves home. Real-time monitoring via smart camera detects typical anxiety signs—continuous vocalization, pacing, scratching doors/windows, destructive chewing. When anxiety reaches preset thresholds, the system auto-triggers comfort actions (play owner's pre-recorded voice, dispense treats via smart feeder, activate interactive toys) to reduce anxiety and destructive behavior, improving pet welfare. Scenarios: pet households (especially office workers / frequent travelers), pet boarding centers. | 通过智能家居摄像头（宠物摄像头）实时监测主人离家后宠物的行为，检测持续性发声（哀嚎、嚎叫）、来回踱步、抓挠门窗或破坏家具等分离焦虑典型表现。当焦虑行为达到预设阈值时，自动触发安抚动作，包括播放主人预录的安抚语音、联动智能零食机投掷零食、或启动互动玩具（如自动逗猫棒），减轻宠物独处时的焦虑，减少破坏行为，提升宠物福利。应用场景：宠物家庭（尤其上班族、经常出差的主人）、宠物寄养中心。

Pet Sneeze / Cough Detection | 宠物睡眠质量分析（时长/翻滚次数）

@18072937735

AI-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。

Living-Alone Sleep Rhythm Anomaly Analysis | 独居者作息规律异常分析

@18072937735

Using 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。

Elderly Gait Instability / Shuffling Step Detection | 老年人步态不稳/小碎步识别

@smyx-sunjinhui

Using 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）。

Lawn Health Assessment | 草坪枯黄率与杂草密度评估

@smyx-sunjinhui

AI-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。

Elderly Toilet Time Abnormal Detection (>30 min) | 老年人如厕时间异常（超30分钟）识别

@18072937735

Using a camera installed at the bathroom doorway (or inside the bathroom only detecting human silhouettes, without capturing private details), the system uses human detection and entry/exit tracking to identify when an elderly person enters or leaves the toilet and calculates the continuous occupancy time. | 通过在卫生间门口（或内部仅检测人体，不采集隐私细节）安装的摄像头，利用人体检测和进出跟踪技术，识别老年人进入和离开卫生间的时刻，计算连续占用时间。当占用时间超过预设安全阈值（默认30分钟）时，输出异常预警，通知家属或护理人员及时查看，预防老年人因跌倒、突发疾病（如中风、心梗）或体力不支导致的无法自主移动等意外。

Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化（缺水/水多）

@18072937735

AI-powered plant wilting quantification from full-plant images via smart pots or fixed cameras. Detects leaf-stem angle (leaf droop), stem straightness, and leaf turgidity to quantify wilting severity (0-100%). Optionally fuses soil-moisture sensor data to discriminate dehydration (underwatering) vs. waterlogging (root hypoxia), and auto-triggers watering or drainage prompts for precision irrigation. Scenarios: smart pots, home gardening, greenhouses, plant factories. | 通过智能花盆或固定摄像头拍摄植物整体图像，利用AI视觉分析技术检测叶片与茎秆的夹角（叶片下垂角度）、茎秆挺直程度以及叶片舒展度，量化萎蔫程度（0-100%）。可选结合土壤湿度传感器数据，综合判断萎蔫原因是缺水还是水涝（根部缺氧导致）。可自动触发灌溉或排水提示，帮助用户精准浇水。应用场景：智能花盆、家庭园艺、温室大棚、植物工厂。

Fruit Ripeness Grading | 番茄/草莓果实成熟度分级

@smyx-sunjinhui

AI-powered fruit ripeness grading for tomatoes / strawberries. From smart grow-boxes or mobile phone images, uses AI vision to detect fruit color (green / light green / orange / red / dark red), colored-area ratio, gloss, and relative fruit size (against a reference object), and outputs a ripeness grade (Mature-Green / Turning / Ripe / Over-Ripe) based on preset standards. Helps growers identify the optimal harvest window and ensures flavor and shelf quality. Scenarios: smart grow-boxes, greenhouses, home vegetable gardens, fruit & vegetable cooperatives. | 通过智能种植箱或手机拍摄的果实图像，利用AI视觉分析技术检测果实的颜色（绿/浅绿/橙/红/暗红）、着色面积比例、光泽度以及果实大小（相对于参照物），根据预设的成熟度分级标准输出等级（青熟期/转色期/成熟期/过熟期）。该技能帮助种植者确定最佳采收时机，保证果实口感和商品性。应用场景：智能种植箱、温室大棚、家庭菜园、果蔬合作社。

Pet Vomiting / Regurgitation Detection | 宠物呕吐/反流行为识别

@18072937735

AI-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。

Elderly Hand Resting-Tremor Detection | 老年人手部震颤（静止性）识别

@18072937735

Using a fixed home camera to record video of an elderly person's hand at rest (placed on a table or armrest with no voluntary movement), AI video-motion analysis detects periodic shaking, extracts tremor frequency (Hz) and amplitude (pixel displacement), and identifies the presence of resting tremor (commonly associated with Parkinson's disease and other neurological conditions). | 通过家庭固定摄像头拍摄老年人手部（置于桌面或自然静止）的视频，利用AI视频分析技术检测手部在静止状态下的周期性抖动频率（Hz）和幅度（像素位移），识别是否存在静止性震颤（常见于帕金森病等神经系统疾病）。该技能可作为早期筛查工具，提示家属或护理人员关注老年人神经系统健康，及时就医。

Plant Leaf Disease Identification | 植物叶片病害特征识别

@18072937735

AI-powered plant leaf disease identification from high-resolution leaf images. Detects disease lesion features (color, shape, distribution, surface deposits) such as white powdery patches (powdery mildew), rust-colored spore pustules (rust), brown necrotic spots (leaf spot), and outputs the most likely disease type with confidence score. Helps users quickly diagnose plant diseases and take timely measures. Scenarios: plant factories, greenhouses, home gardening, farm inspection. | 通过拍摄植物叶片的高清图像，利用AI视觉分析技术识别叶片上的病斑特征（颜色、形状、分布），检测是否有白色粉状物（白粉病）、锈色孢子堆（锈病）、褐色坏死斑（叶斑病）等典型症状，输出最可能的病害类型及置信度。帮助用户快速诊断植物病害，采取防治措施。应用场景：植物工厂、温室大棚、家庭盆栽、园艺养护。

Elderly Loneliness Detection & Warm Companionship | 独居老人孤独情绪识别与温暖陪伴

@smyx-sunjinhui

Using a fixed camera in the home of a solitary-living elderly person or in a private nursing-home room, the system analyzes daily activity video and detects loneliness-related behaviors: prolonged solitude (no social interaction), static gazing (long-time fixation with no purposeful activity), sighing (rapid chest/abdomen rise-fall with exhale), and talking-to-self (mouth activity with no conversation partner). | 通过独居老人家中或养老院单人房的固定摄像头，分析老人日常行为视频，检测孤独相关行为：长时间独处（无社交互动）、静止发呆（长时间凝视一处无目的活动）、叹气（胸腹快速起伏伴呼气）、自言自语（口部活动但无对话对象）等。

Elderly Facial Asymmetry / Mouth-Corner Deviation Detection | 老年人面部不对称/口角歪斜识别

@smyx-sunjinhui

Using 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。

Succulent Special State Detection | 多肉植物特殊状态识别

@18072937735

AI-powered succulent special-state detection from HD images via plant cameras or smartphones. Identifies three critical conditions—black rot (stem base or leaves turning black and mushy), etiolation/melting (leaves becoming translucent and water-soaked), and stretching (elongated internodes, widened leaf spacing, loose rosette)—and outputs the anomaly type with severity grading, enabling early intervention such as beheading, water restriction, or increased light. Scenarios: home succulent care, succulent greenhouses, flower shops. | 通过多肉种植摄像头或手机拍摄的高清图像，利用AI视觉分析技术识别多肉植物的三种常见异常状态：黑腐病（茎基部或叶片变黑、腐烂）、化水（叶片透明化、水渍状）、徒长（茎节拉长、叶片间距增大、形态松散）。输出对应的异常状态类型及严重程度，帮助种植者及时采取处理措施（如砍头、控水、增加光照）。应用场景：多肉植物家庭养护、多肉大棚、花店。

Office Prolonged Sitting & Posture Warning | 成人久坐/姿态预警（办公室）

@18072937735

Using 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'。

Ornamental Fish Color Brightness Assessment | 观赏鱼体色鲜艳度评估

@smyx-sunjinhui

Through 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。

Flowering & Fruit Set Rate Analysis | 番茄/辣椒开花坐果率分析

@smyx-sunjinhui

AI-powered flowering and fruit-set rate analysis for tomato / chili plants. From home grow-box or mobile phone images of flowering/fruit clusters, uses object-detection models to count open flowers (fully-opened corolla with visible stamens) and successfully-set young fruits (enlarged ovary, ~0.5-1cm green baby fruits), and computes fruit-set rate = young fruits / flowers × 100%. Helps growers evaluate pollination, nutrition and environmental adaptability, and guides hand-assisted pollination or water/fertilizer adjustment. Scenarios: home smart grow-boxes, greenhouses, balcony vegetable gardens. | 通过家庭种植箱或手机拍摄的植株花果图像（包含花穗、果实区域），利用AI视觉目标检测模型识别开放花朵（花冠完全展开、雄蕊可见）的数量以及已坐果的小果（子房膨大、直径约0.5-1cm的绿色幼果）数量，计算坐果率（小果数/花朵数 × 100%）。该技能帮助种植者评估授粉效果、营养状况及环境适应性，指导人工辅助授粉或调整水肥管理。应用场景：家庭智能种植箱、温室大棚、阳台菜园。

Pet Restricted Area Alert Skill | 宠物禁区预警技能

@smyx-sunjinhui

Monitors restricted area intrusions, climbing on dining tables, and rummaging through trash cans, and issues real-time alerts, suitable for home pet monitoring scenarios. | 宠物禁区预警技能，监测禁止区域闯入、攀爬餐桌、翻垃圾桶行为并实时报警，适用于家庭宠物监控场景

Pet Detection Skill | 宠物检测技能

@18072937735

Detects cats, dogs, and birds appearing in the target area; supports video stream and image detection, suitable for home pet monitoring scenarios. | 宠物检测技能，检测出目标区域内出现的猫、狗、鸟，支持视频流和图片检测，适用于家庭宠物监控场景

Plant Nutrient Deficiency Diagnosis | 植物缺素症视觉诊断

@smyx-sunjinhui

AI-powered plant nutrient deficiency diagnosis from leaf images. Detects leaf color, morphology changes (pale green/yellow-green/purple-red, marginal scorch, interveinal chlorosis) via computer vision, matches against common deficiency symptom databases, and outputs the most likely deficient nutrient element (nitrogen, phosphorus, potassium, iron, magnesium, zinc, etc.) with confidence score. Enables precision fertilization, avoids blind over-fertilization. Scenarios: smart planters, home gardening, agricultural greenhouses, plant factories. | 通过智能花盆、农业大棚或手机拍摄的植物叶片高清图像，利用AI视觉分析技术识别叶片颜色、形态变化（如叶色浅绿/黄绿/紫红、叶缘焦枯、叶脉间失绿等），与常见营养缺乏症特征库比对，输出最可能缺乏的营养元素（氮、磷、钾、铁、镁、锌等）及置信度。有助于精准施肥，避免盲目用肥造成浪费或伤害。应用场景：智能花盆、家庭园艺、农业大棚、植物工厂。

Elderly Fall Detection Skill | 老人跌倒检测技能

@18072937735

Utilizes vision and radar technology for contactless detection of falls. It triggers alarms within seconds and is suitable for home safety monitoring of elderly people living alone. | 老人跌倒检测技能，视觉/雷达无感识别摔倒倒地，秒级触发报警，适用于独居老人居家安全监测场景

Fish Isolation / Schooling Behavior Detection | 鱼类聚集/离群行为识别

@smyx-sunjinhui

Through fixed cameras on aquariums, the system continuously tracks the 2D position of each fish in the school, computes the school centroid (center of mass), and measures the distance from each fish to the centroid (in units of fish body length). | 通过鱼缸固定摄像头，持续跟踪鱼群中每条鱼的二维位置，计算鱼群中心（质心），并检测每条鱼与中心的距离（以鱼体长为单位）。当某条鱼偏离鱼群中心超过 10 倍体长，且持续时间超过 1 小时（或用户设定阈值）时，输出'离群行为'提示。

Fish Abnormal Swimming Posture (Side-swim / Upside-down) Detection | 鱼类游动姿态异常（侧游/倒立）识别

@smyx-sunjinhui

Through 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。

Orchid Growth Status Detection (Shoots / Spike / Roots) | 兰花新芽/花梗/根系状态识别

@smyx-sunjinhui

AI-powered orchid growth-status detection from HD images (including roots visible through transparent pots) via orchid cameras or smartphones. Measures new-shoot count, flower-spike length, and root color/condition (white = healthy, brown = aged, black = rotten) to deliver a holistic vitality assessment (vigorous / normal / weak) plus care guidance such as 'three new shoots, healthy roots, increase phosphorus-potassium to promote spike growth'. Helps orchid hobbyists pinpoint repotting and feeding timing. Scenarios: home orchid care, orchid greenhouses, horticulture studios. | 通过兰花栽培专用摄像头或手机拍摄的高清图像（包括透明兰盆内的根系），利用AI视觉分析技术检测兰花新芽萌发数量、花梗（花箭）生长长度以及根系颜色（白色健康、褐色老化、黑色腐烂），综合输出兰花的生长状态评估（旺盛/正常/衰弱）及养护建议（如"新芽萌发3个，根系健康，可适当增加磷钾肥促进花梗生长"）。有助于兰花爱好者精准掌握植株生长节奏，及时调整水肥管理。应用场景：兰花家庭养护、兰花大棚、兰花园艺工作室。

Family Conflict Aftercare Suggestion | 夫妻/家人冲突后情绪缓和提示

@smyx-sunjinhui

Through fixed cameras (with microphones) in the family living room or kitchen, the system monitors conflict events among family members in real time, identifying high-decibel arguments (sound intensity exceeding a threshold and lasting more than 10 seconds), door slams (object impact sound + door-frame vibration), and aggressive arm-swing actions. | 通过家庭客厅或厨房的固定摄像头（含麦克风），实时监测家庭成员间的冲突事件，识别高分贝争吵（声音强度超过阈值且持续时间>10秒）、摔门（物体撞击声+门框振动）、甩手等激烈肢体动作。当冲突事件结束后（音频和视频均平静超过预设时间，默认10分钟）且无新冲突，系统自动输出缓和提示：通过智能音箱播放轻柔音乐，或通过手机APP推送关怀语（如'需要一杯茶吗？

Plant Growth Stage Detection | 植物生长阶段自动判定

@smyx-sunjinhui

AI-powered plant growth stage auto-detection from periodic full-plant images via smart pot / greenhouse fixed cameras. Recognizes key phenological features—cotyledon emergence, true-leaf count, flower bud differentiation, blooming, fruit setting, fruit ripening—and identifies the current developmental stage (germination, seedling, vegetative, flowering, fruiting, ripening), enabling precision irrigation/fertilization/lighting control and personalized growing guidance. Scenarios: smart pots, home grow boxes, greenhouses, plant factories. | 通过智能花盆或温室内固定摄像头，定期拍摄植物整体图像，利用AI视觉分析技术识别子叶展开、真叶数量、花芽分化、开花、结果、果实成熟等关键物候特征，自动判定植物当前所处的生长发育阶段（如发芽期、幼苗期、生长期、开花期、结果期、成熟期）。有助于精准农业管理，实现自动化灌溉、施肥、光照调节，并为用户提供种植指导。应用场景：智能花盆、家庭种植机、温室大棚、植物工厂。

Home Assistant CLI

@joneschi

Advanced Home Assistant control using the official hass-cli tool. Features auto-completion, event monitoring, history queries, and rich output formatting. Alternative to the curl-based homeassistant skill - choose this if you want a more interactive CLI experience with better discovery and formatting.

Home Assistant

@oomol

Home Assistant (home-assistant.io). Use this skill for ANY Home Assistant request — reading, creating, updating, and deleting data. Whenever a task involves Home Assistant, use this skill instead of calling the API directly.

Pet Eye Anomaly Detection (Redness / Tearing / Cataract) | 宠物眼睛异常识别（红肿/流泪/白内障）

@smyx-sunjinhui

AI-powered pet eye anomaly detection from close-up facial images/video. Detects conjunctival redness, abnormal tearing/tear stains, and pupil/cornea opacity (cataract / corneal edema), then outputs anomaly alerts to help owners catch eye disease risks early. Scenarios: daily home health self-check, boarding center routine inspection, animal hospital triage, senior pet cataract monitoring. | 通过宠物摄像头捕捉宠物面部近景视频，利用AI视觉分析技术检测眼部充血（结膜颜色发红）、异常流泪（泪痕严重或持续性溢泪）、瞳孔区域浑浊（可能为白内障或角膜水肿）等异常征象，输出异常提示，帮助主人及早发现眼部疾病风险。适用于日常健康监测、老年宠物护理及宠物医院预检。应用场景：宠物家庭日常健康自检、宠物寄养中心巡检、宠物医院门诊初筛、老年宠物白内障监测。

小红书

@chocomintx

XiaoHongShu (Little Red Book) data collection and interaction toolkit. Use when working with XiaoHongShu (小红书) platform for: (1) Searching and scraping notes/posts, (2) Getting user profiles and details, (3) Extracting comments and likes, (4) Following users and liking posts, (5) Fetching home feed and trending content. Automatically handles all encryption parameters (cookies, headers) including a1, webId, x-s, x-s-common, x-t, sec_poison_id, websectiga, gid, x-b3-traceid, x-xray-traceid. Supports guest mode and authenticated sessions via web_session cookie.

haos-ssh-maintenance

@nextaltair

Home Assistant OS SSH maintenance for config files, YAML, custom components, shell troubleshooting, or interactive ha CLI.

zillow-search

@zillapi

Searches US property listings for sale, for rent or sold via the zillapi API, filtered by location or bounding box, price, beds, baths, square footage, year built, home type and days on Zillow. Use when the user asks to find homes, condos, apartments, rentals, sold comparables or listings matching criteria in a city, ZIP or area. Do not use for a single known property (zillow-full covers lookups) or when a location appears incidentally. Each returned listing costs one credit, so keep max_items tight.

Find My Location

@poiley

Track a shared contact's location via Apple Find My with street-level accuracy. Returns address, city, and context (home/work/out) by reading map landmarks. Supports configurable known locations and vision fallback for unknown places.

Codexmonitor

@odrobnik

List/inspect/watch local OpenAI Codex sessions (CLI + VS Code) using the CodexMonitor Homebrew formula. Reads sessions from ~/.codex/sessions by default (or...

Adguard

@rowbotik

Control AdGuard Home DNS filtering via HTTP API. Use when managing blocklists/allowlists, checking domain filtering status, toggling protection, or clearing DNS cache. Supports blocking/allowing domains, viewing statistics, and protecting/disabling DNS filtering.

Real Estate

@james-southendsolutions

Evaluate any address for home buyers and renters. Get nearby schools, transit, grocery stores, parks, restaurants, and walkability using Camino AI's location...

Child Dangerous Object Contact Detection | 儿童接触危险物品识别

@smyx-sunjinhui

Using fixed cameras in the living room, child's room, kitchen, or other home zones, AI object detection and pose estimation analyze the video in real time to recognize a child's hand actions and the objects in hand, identifying whether the child grabs scissors, knives, medicine bottles, lighters, or other preset dangerous items, or inserts fingers into electrical socket holes. | 通过家庭客厅、儿童房或厨房等区域的固定摄像头，利用AI目标检测和姿态估计技术实时分析儿童手部动作及手中持有的物品，识别儿童是否抓握剪刀、刀具、药品瓶、打火机等预设危险品，或是否将手指插入电源插座孔。一旦检测到危险行为，立即输出预警，联动手机APP或智能音箱发出警报，提醒家长及时干预，预防意外伤害。

Elderly TV Watching & Sedentary Reminder | 老年人电视观看时长与久坐关联

@smyx-sunjinhui

Using a fixed camera in the living room (aimed at the sofa and TV area), the system analyzes the elderly person's continuous sitting time while watching TV, detecting whether the body remains in a seated posture and the face is oriented toward the TV area (watching). | 通过客厅固定摄像头（对准沙发和电视区域），分析老年人连续观看电视的坐姿时长，检测人体是否持续处于坐姿且面部朝向电视区域（注视电视）。当连续坐姿观看电视超过预设阈值（默认2小时）且期间未起身活动时，输出'久坐活动提醒'，建议老年人起身走动、做伸展运动。

Pet Respiratory Rate Abnormal Detection (Resting) | 宠物呼吸频率异常监测（静息）

@smyx-sunjinhui

AI-powered non-contact pet respiratory rate monitoring at rest. Detects thoracic-abdominal motion via a fixed camera, calculates breaths-per-minute, and compares against species/body-size resting norms; triggers early-warning when abnormal (e.g. dog >30 bpm, cat >40 bpm, or <8 bpm). Helps detect cardiopulmonary, respiratory or heat-stress risks early. Scenarios: home night monitoring, animal hospital wards, pet boarding centers. | 通过宠物窝或休息区固定摄像头，在宠物静息状态下分析其胸腹部起伏运动，自动计算呼吸频率（次/分钟），并与该物种/体型的正常静息呼吸范围进行对比；若检测到呼吸过快（如犬>30次/分钟，猫>40次/分钟）或过慢（<8次/分钟），则输出健康预警，建议主人观察或就医。有助于早期发现呼吸系统、心脏或热应激等潜在问题。应用场景：宠物家庭夜间监护、宠物医院住院部、宠物寄养中心。

Lead Gen Website Builder (SEO PUR)

@lucasgulino

Build complete local lead generation websites with SEO optimization, conversion tracking, and RGPD compliance. Use for creating service-based websites targeting local markets (plumbers, electricians, home services, etc.) with 10-20 pages, structured data, analytics, and legal compliance.

Tax Professional

@scottfo

Comprehensive US tax advisor, deduction optimizer, and expense tracker. Covers all employment types (W-2, 1099, S-Corp, mixed), estimated tax payments, audit risk assessment, life event triggers, multi-state filing, RV-as-home rules, tax bracket optimization, document retention, and proactive year-round tax calendar nudges. Your CPA in the pocket.

Location Awareness

@hegghammer

Location awareness via privacy-friendly GPS tracking (Home Assistant, OwnTracks, GPS Logger). Set location-based reminders and ask about movement history, travel time, and nearby POIs.