Conducts video analysis of learning behavior for children/students, identifies poor learning habits, provides structured analysis reports and family education improvement suggestions, focusing on learning habit cultivation and behavior correction. | A comprehensive tool designed to analyze video footage of children's and students' learning behaviors. It identifies poor study habits and provides structured analysis reports along with actionable suggestions for family education improvements. The tool is dedicated to fostering positive study habits and facilitating behavioral correction. | 分析孩子学习行为 孩子学习行为分析工具，针对孩子/学生的学习行为进行视频分析，识别不良学习习惯，提供结构化分析报告和家庭教育改善建议，专注学习习惯培养和行为矫正
Analyzes 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
Analyzes 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
Professional discernment of subtle cues! It performs detailed analysis and recognition of facial micro-expressions, outputs precise emotional state reports, and unveils true inner emotional activities. | 微观情绪（微表情）识别分析工具，专业察言观色！针对人物面部微表情进行细致分析识别，输出精准的情绪状态分析报告，揭示真实内心情绪活动
Triggers 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
Supports 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
When 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
Performs special video analysis on behavioral characteristics of children with autism, identifies core symptom features, provides structured analysis reports and intervention recommendations. | 孤独症谱系障碍行为分析工具，针对儿童孤独症行为特征进行专项视频分析，识别核心症状特征，提供结构化分析报告和干预建议
Based on computer vision, automatically detects and recognizes cats and dogs appearing in the target area from the perspective of feeder/IPC cameras, and supports pet identity recognition and database entry, suitable for pet identification management in smart feeding scenarios. | 智能喂食器宠物检测识别技能，基于计算机视觉从喂食器/IPC摄像头视角自动检测识别目标区域出现的猫、狗宠物，并支持宠物身份识别和底库录入，适用于智能喂养场景的宠物识别管理
Early monitoring of plant wilting based on hyperspectral imaging and computer vision, captures early wilting signs before visible symptoms, provides early warning for precision irrigation and disease control. | 植物枯萎监测技能，基于高光谱成像与计算机视觉，在肉眼可见症状前捕捉早期枯萎迹象，为精准灌溉和病害防控提供早期预警
Analyzes videos of vehicle drivers to identify unsafe driving behaviors. It generates professional analysis reports to help enhance road safety awareness. | 安全驾驶行为分析工具，针对机动车驾驶人员的驾驶行为进行视频分析，识别不安全驾驶行为，输出专业分析报告，提升道路交通安全意识
Monitors infant behavior via visual AI, automatically identifying high-risk actions like rolling over, mouth/nose obstruction, climbing, or falling from bed, and triggers instant safety warnings. | 婴儿智能安全看护技能，基于视觉AI实时监测婴儿行为，自动识别翻身、口鼻遮挡、攀爬、翻越围栏、坠床等高风险动作，即时触发安全预警，守护婴幼儿睡眠与活动安全
Conducts 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
Accurately identifies key growth stages of plants from germination to fruiting based on computer vision and deep learning, provides structured data for precision agriculture decision support. | 植物生长阶段识别技能，基于计算机视觉与深度学习算法，精准识别植物从发芽到结果的全生命周期关键生长阶段，为精准农业提供科学决策支持
Diagnoses plant nutrient deficiency or excess based on computer vision and plant physiology, outputs targeted fertilization suggestions for precision nutrient management. | 植物营养诊断技能，基于计算机视觉与植物生理学，通过叶片特征诊断氮磷钾及微量元素缺乏或过剩，输出精准施肥建议
Automatically detects smoking behavior in target areas based on computer vision; supports real-time detection of video streams, images, and video files; identifies violation smoking behavior and triggers violation alerts, assisting in smoking control safety management for parks/communities/units. | 公共场所吸烟行为智能检测技能，基于计算机视觉自动检测目标区域内的吸烟行为，支持视频流、图片、视频文件实时检测，识别违规吸烟行为，触发违规预警，助力园区/社区/单位控烟安全管理
Automatically identifies wet clothing and abnormal excretion via visual AI. Instantly notifies caregivers to improve care for incontinent elderly, bedridden patients, and infants, reducing skin issues and complications. | 智能失禁状态提醒技能，基于视觉AI自动识别衣物潮湿、排泄异常等状况，第一时间推送通知给看护人员，提升失能老人、卧床病人、婴幼儿的护理质量，减少皮肤问题和并发症
Recognizes cat and dog barks through pet voiceprint AI, translates and outputs emotions and behavioral intentions such as happiness, excitement, anger, anxiety, pain, vigilance, and attention-seeking, enabling human-pet smart interaction. | 宠物叫声情绪解析技能，通过宠物声纹AI识别猫狗叫声，翻译输出开心、兴奋、愤怒、焦虑、痛苦、警惕、求关注等情绪与行为意图，实现人宠智能交互
Accurately identifies plant diseases based on computer vision and deep learning, supports both image and video input, outputs structured diagnostic reports including disease type, cause and prevention suggestions. | 植物病害识别技能，基于计算机视觉与深度学习，支持视频/图片输入，精准识别植物病害类型，输出包含病害名称、致病原因、防治建议的结构化诊断报告，为农业生产和园艺养护提供病害预警
Combines 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
Based on computer vision, automatically detects employees playing with phones during work hours, supports real-time video stream and image detection, counts the duration and frequency of phone usage, helps enterprises standardize office order, and improves work efficiency. | 职场玩手机智能监测技能，基于计算机视觉自动检测工作时间员工玩手机行为，支持视频流和图片实时检测，统计玩手机时长与频次，帮助企业规范办公秩序，提升工作效率
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
Detects quality issues in camera footage such as black/white screens, color cast, stripes, noise, and blurriness. Suitable for security surveillance and camera self-check scenarios. | 图像质量检测分析工具，检测摄像头画面出现的全黑、全白、偏色、条纹、雪花、模糊等质量问题，适用于安防监控、摄像头自检等场景
Identifies sleep stages including falling asleep, light sleep, deep sleep, and REM; monitors body movement, nighttime awakenings, and sleep apnea, suitable for sleep monitoring scenarios. | 睡眠质量分析技能，识别入睡、浅睡、深睡、快速眼动阶段，监测体动、夜间觉醒、睡眠呼吸暂停，适用于睡眠监测场景
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
Analyzes incoming call content for multi-dimensional risk, intelligently identifies scam scripts, determines if a call is fraudulent, assesses risk levels, and generates an Anti-Fraud Guardian analysis report. | 诈骗电话识别分析工具，针对来电通话内容进行多维度风险分析，智能识别诈骗话术，判断是否为诈骗电话并评估风险等级，输出反诈卫士分析报告
Identifies sleep states like deep sleep, light sleep, waking, and restlessness. Generates daily sleep reports and schedule analysis to help parents understand their baby's sleep patterns. | 婴儿睡眠状态监测技能，识别熟睡、浅睡、苏醒、躁动不同睡眠状态，生成每日睡眠报告和作息分析，帮助家长掌握宝宝睡眠规律
Recognizes various poses such as standing, sitting, lying down, bending, raising hands, running, and falling. Supports abnormal pose recognition and fall warnings, suitable for security monitoring and elderly care. | 人体姿态识别技能，识别站立、坐姿、躺卧、弯腰、举手、奔跑、摔倒等多种人体姿态，支持肢体异常姿态识别和摔倒预警，适用于安防监测、老人看护等场景
Identifies babies kicking off blankets or exposing their bodies during sleep and alerts parents to cover them up to prevent catching a cold. | 婴儿蹬被监测技能，识别婴儿夜间睡觉踢开被子、身体裸露，及时提醒家长给宝宝盖被保暖，预防着凉感冒
Automatically detects personnel in target areas based on computer vision. Supports real-time video stream detection and is suitable for monitoring personnel access in parks, offices, and restricted areas. | 区域人形检测技能，基于计算机视觉自动检测目标区域内出现的人员，支持视频流实时检测，适用于园区、办公室、禁入区域等人员出入监测场景
Triggers 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
Detects baby cries via audio AI in real-time, analyzes causes, and precisely identifies needs like hunger, tiredness, pain, discomfort, or irritability to assist new parents. | 婴儿哭声智能解析技能，通过音频AI实时检测婴儿哭声，自动解析哭声成因，精准识别饥饿、困倦、疼痛、身体不适、情绪烦躁等不同需求，辅助新手爸妈科学育婴
Supports identifying high-risk behaviors and health risks through video/images, including elderly falls, precursors to heart attacks and strokes, and abnorma...
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。
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。
AI-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。
Using a fixed camera in the child's bedroom (infrared night vision), the system continuously captures video and audio at night to analyze the child's sleep behavior. It detects rollover frequency (rollovers per minute), cries (recognizing specific cry-sound features), and sleep talk (speech during sleep), and generates a sleep-quality report. When rollovers occur too often (e.g., > 3 per hour), strong crying is detected, or sleep talk is observed, the system pushes 'possible nightmare' or 'restless sleep' alerts to the parents. Application scenarios: child bedrooms, infant rooms. The system relays night-time monitoring to help parents understand the child's sleep quality and provide timely comfort. Skill features: improve sleep. | 通过儿童床或卧室的固定摄像头（红外夜视），在夜间连续采集视频及音频，分析儿童的睡眠行为。检测翻身次数（每分钟翻身频率）、哭声（识别特定的哭声音频特征）以及梦话（检测睡眠中的语音），生成睡眠质量报告。当翻身过于频繁（如>3次/小时）、出现强烈哭声或梦话时，推送给父母'可能做噩梦'或'睡眠不安'的预警。应用场景：儿童卧室、婴儿房。系统夜间接力监测，帮助家长了解儿童睡眠质量，及时安抚。技能特点：改善睡眠。
Detects and analyzes indoor plant light stress from images and optional lux data, identifying low or excessive light symptoms and suggesting adjustments.
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。
Triggers when a user provides a pet racing track start/finish video URL or file for analysis; uses HD cameras at the starting line and finish line to analyze race video in real time, detecting each pet's (greyhounds, racehorses, etc.) start time, finish order, and lane assignment, automatically determining false starts (start before the signal) or lane crossing (deviating from own lane into an adjacent lane) fouls and outputting judgment results. Assists referee decisions and improves race fairness. Application: pet racing (greyhound, horse, obstacle course), pet sports events, professional track training. Does NOT provide race advice — only returns objective video-based judgment results. | 当用户提供宠物赛道起点/终点视频URL或文件时，触发本技能进行竞赛犯规检测分析；通过架设在赛道起点和终点线的高清摄像头，实时分析比赛视频，检测每只宠物（赛犬、赛马等）的起跑时间、通过终点线的顺序以及所在道次，自动判定是否存在抢跑（起跑时间早于发令信号）或窜道（偏离自身赛道进入邻道）等犯规行为，并输出判定结果。辅助裁判决策，提高赛事公平性。应用场景：宠物竞速比赛（灵缇赛跑、赛马、宠物障碍赛）、宠物运动会、专业赛道训练。仅输出基于视频的客观判定结果，不提供赛事建议。
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。
AI-powered UV disinfection safety monitor for pets. Real-time camera analysis detects whether a pet enters an active UV-C disinfection zone and whether the UV lamp is on (via blue-purple glow recognition or smart-home API linkage). When both conditions are met, it auto-triggers a high-risk alert, recommends shutting off the UV lamp, and logs the event to prevent corneal burns or skin damage. Scenarios: smart homes, pet households, pet boarding facilities. | 通过智能家居摄像头实时识别宠物是否进入正在进行紫外线消毒的区域，自动关闭UV灯并推送提醒，防止宠物因误入消毒区而受到紫外线伤害。结合目标检测（宠物识别）与UV灯状态感知（可通过画面蓝紫色光晕/光谱特征或智能家居API联动），实现主动式安全防护。应用场景：智能家居、宠物家庭、宠物寄养场所。
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。
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。
Triggers 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。
Using fixed cameras in multiple zones of a solo-living elder's home (living room, bedroom, kitchen, bathroom, etc.), the system continuously analyzes the video streams to detect human activity (movement, limb actions, gestures, etc.). If no activity is detected within a configured time window (default 12 hours), the system outputs a 'long-term no activity' alert and can notify emergency contacts via app or phone. | 通过独居老人家中的多个区域（客厅、卧室、厨房、卫生间等）固定摄像头，连续分析视频流，检测人体活动（包括移动、肢体动作、手势等）。若在设定的时间窗口内（默认12小时）未检测到任何活动，则输出'长期无活动'预警，并可通过APP或电话通知紧急联系人。
by smyx-sunjinhui9 installs
About Ottermind skills
Every published skill from smyx-sunjinhui. Following a publisher whose work already fits how you operate is often faster than evaluating individual skills one at a time.
Skills cover the full range of what an Ottermind agent does: building editable PowerPoint decks, generating product and brand images, writing and running code on a machine you connect, producing video from a script or a still, and cleaning and analysing spreadsheet data. A skill is what turns a general model into something that handles your specific version of one of those jobs the same way every time.
A skill is a plain Markdown file with a short frontmatter header, which means you can read exactly what it will do before running it, edit it to match your own conventions, and share it with colleagues. Once a skill produces the result you wanted, it can be attached to an agent or scheduled as an automation so the same work happens again without anyone rewriting the prompt.
What is an Ottermind skill?
A reusable instruction package written in Markdown. It gives an agent the context, steps, and constraints for one kind of task, so results stay consistent instead of depending on how well you phrased the prompt that day.
How do I install and use a skill?
Open any skill's detail page, read the full document, and install it into your workspace. From then on the agent can use it automatically when the task matches, or you can invoke it by name.
Can I create my own skill?
Yes. A skill is a Markdown file with frontmatter naming it and describing when it should be used. If you have a workflow you keep re-explaining to an agent, writing it down once as a skill is usually the shortest path to making it repeatable.
Do skills cost extra?
Browsing and installing skills from this library does not cost anything on its own. Running one consumes the same credits as any other agent task, depending on the model you choose and how much work the task involves.