健康健身

浏览健身追踪、锻炼计划、营养管理和健康监测应用的 agent skills。

≥48 个结果

healthcare-eval-harness

ヘルスケアAIモデル評価ハーネス、臨床メトリクス、およびレギュレーション遵守の検証。

fitness-nutrition

NousResearch/hermes-agent

Workout planning, macros, and body metrics via wger/USDA.

antigravity-support

google-gemini/gemini-cli

Use when the user asks questions, seeks help, or requests instructions related to installing, setting up, or migrating to Antigravity CLI. This skill provides the latest up to date details, requirements, and commands sourced from the official Antigravity CLI documentation.

Schedule reminders and recurring tasks.

managing-reminders

PostHog/posthog

Create and manage PostHog reminders — private, human-paced nudges that fire as in-app notifications on a schedule, optionally linked to a PostHog resource. Use when the user says "remind me to…", wants a one-off or recurring nudge (daily/weekly/monthly/yearly, a cron schedule, or a specific date/time), wants to be reminded to look at a dashboard, insight, experiment, feature flag, survey, notebook, replay, or error, or wants to list, change, or cancel their reminders. Covers when to pick a reminder over an alert or subscription, the one-off vs recurring vs cron schedule field mappings, timezones, and attaching a resource.

hugging-face-trackio

patchy631/ai-engineering-hub

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.

relsa-severity-assessment

K-Dense-AI/scientific-agent-skills

Multivariate severity assessment and humane endpoint prediction for laboratory animal studies using the RELSA (RELative Severity Assessment) score and ARIMA-based foRcast forecasting. Use when combining welfare readouts — body weight or weight loss, body temperature, clinical or nesting scores, biomarkers, activity, heart rate, burrowing, wheel running — into one severity score per animal per day, when asking which animals are at risk of reaching a humane endpoint or when one will be reached, when defining attention/danger zones or thresholds on a severity scale by kernel density estimation, or when reporting severity for a 3Rs, refinement, animal-welfare, or EU Directive 2010/63/EU severity-assessment context. Covers directionality ("turned" variables), baseline normalization, reference sets, RELSA weights, ARIMA prediction intervals, and RMSE/PICP/MPIW evaluation.

volcengine/OpenViking

Schedule reminders and recurring tasks.

learn-something-new

google-ai-edge/gallery

A daily learning companion that teaches users a new concept, generates a beautiful image card, and schedules recurring daily learning notifications.

ayghri/i-have-adhd

Shape output for a reader with ADHD: lead with the next action, number multi-step work, restate state across turns, suppress tangents, give specific time estimates, make wins visible. Invoke with /i-have-adhd; stays on until "stop adhd mode".

ayghri/i-have-adhd

Shape output for a reader with ADHD: lead with the next action, number multi-step work, restate state across turns, suppress tangents, give specific time estimates, make wins visible. Invoke with /i-have-adhd; stays on until "stop adhd mode".

wanshuiyin/Auto-claude-code-research-in-sleep

Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs). Avoids wasting GPU hours on broken runs. Use when training is running and you want automated health checks.

personal-assistant

NVIDIA/SkillSpector

A personalized assistant that remembers your preferences

aiming-lab/AutoResearchClaw

Build or load a genome-scale metabolic model (GSMM) using COBRApy. Covers loading from BIGG, constructing minimal models from scratch, setting medium constraints, and exporting validated .json model files.

metabolic-study-planner

aiming-lab/AutoResearchClaw

Plan publishable constraint-based metabolic modelling studies when the user has a broad biological or metabolic-engineering topic but no concrete dataset, organism, model, or hypothesis. Selects feasible BiGG/COBRA models, objectives, perturbations, analyses, metrics, figures, and risk controls before FBA code is generated.

NomaDamas/k-skill

Fetch KBO game schedules and results for a specific date with the kbo-game npm package. Use when the user asks for today's KBO games, yesterday's scores, or a date-specific scoreboard.

seedance-motion

Emily2040/seedance-2.0

This skill should be used when the user asks for body action, choreography, physics, object movement, movement timing, action continuity, stunt direction, or motion-reference mapping in Seedance 2.0.

structuring-radiology-reports

maziyarpanahi/openmed

Converts free-text radiology narratives into structured findings and impression — with measurements, laterality, anatomy, and follow-up recommendations — after OpenMed NER. Use when the user has a CT/MRI/X-ray/ultrasound/mammography report and needs the sections split (technique, comparison, findings, impression), lesion measurements and laterality captured, BI-RADS / Lung-RADS assessment categories pulled, or incidental findings and recommended follow-up tracked. Trigger keywords: radiology report, findings, impression, RadLex, DICOM-SR, BI-RADS, Lung-RADS, ACR, laterality, measurement, nodule, incidental finding, follow-up, structured reporting. Pairs after OpenMed: run openmed.analyze_text on the report (Anatomy/Disease/measurement entities), then assemble structured findings. De-identify the report first. Decision-support only — not a diagnostic medical device.

PeonPing/peon-ping

Log exercise reps for the Peon Trainer. Use when user says they did pushups, squats, or wants to log reps. Examples - "/peon-ping-log 25 pushups", "/peon-ping-log 30 squats", "log 50 pushups".

BuilderIO/agent-native

Monitor a PR, fix feedback and CI failures until fully green for 30 min. Run with /babysit-pr <number>

muapi-fashion-try-on

SamurAIGPT/Generative-Media-Skills

Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.

parcadei/Continuous-Claude-v3

System health check (MOT) for skills, agents, hooks, and memory

parcadei/Continuous-Claude-v3

Store a learning, pattern, or decision in the memory system for future recall

memodb-io/Acontext

Track daily activity logs and summaries for the user. TRIGGER BY: read/edit user memory

brycewang-stanford/Auto-Empirical-Research-Skills

Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs). Avoids wasting GPU hours on broken runs. Use when training is running and you want automated health checks.

brycewang-stanford/Auto-Empirical-Research-Skills

Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs). Avoids wasting GPU hours on broken runs. Use when training is running and you want automated health checks.

weather-reporter

awslabs/agentcore-samples

Format weather information with emoji, temperature ranges, and activity recommendations

hugging-face-trackio

synthetic-sciences/openscience

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.

FreedomIntelligence/OpenClaw-Medical-Skills

AI驱动的综合健康分析系统，整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。

fitness-analyzer

FreedomIntelligence/OpenClaw-Medical-Skills

分析运动数据、识别运动模式、评估健身进展，并提供个性化训练建议。支持与慢性病数据的关联分析。

FreedomIntelligence/OpenClaw-Medical-Skills

分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。

hrv-alexithymia-expert

FreedomIntelligence/OpenClaw-Medical-Skills

Heart rate variability biometrics and emotional awareness training. Expert in HRV analysis, interoception training, biofeedback, and emotional intelligence. Activate on 'HRV', 'heart rate variability', 'alexithymia', 'biofeedback', 'vagal tone', 'interoception', 'RMSSD', 'autonomic nervous system'. NOT for general fitness tracking without HRV focus, simple heart rate monitoring, or diagnosing medical conditions (only licensed professionals diagnose).

nutrition-analyzer

FreedomIntelligence/OpenClaw-Medical-Skills

分析营养数据、识别营养模式、评估营养状况，并提供个性化营养建议。支持与运动、睡眠、慢性病数据的关联分析。

occupational-health-analyzer

FreedomIntelligence/OpenClaw-Medical-Skills

分析职业健康数据、识别工作相关健康风险、评估职业健康状况、提供个性化职业健康建议。支持与睡眠、运动、心理健康等其他健康数据的关联分析。

rehabilitation-analyzer

FreedomIntelligence/OpenClaw-Medical-Skills

分析康复训练数据、识别康复模式、评估康复进展，并提供个性化康复建议

weightloss-analyzer

FreedomIntelligence/OpenClaw-Medical-Skills

分析减肥数据、计算代谢率、追踪能量缺口、管理减肥阶段

FreedomIntelligence/OpenClaw-Medical-Skills

Integrate digital health data sources (Apple Health, Fitbit, Oura Ring) and connect to WellAlly.tech knowledge base. Import external health device data, standardize to local format, and recommend relevant WellAlly.tech knowledge base articles based on health data. Support generic CSV/JSON import, provide intelligent article recommendations, and help users better manage personal health data.

azure-mgmt-weightsandbiases-dotnet

microsoft/skills

Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability. Triggers: "Weights and Biases", "W&B", "WeightsAndBiases", "ML experiment tracking", "model registry", "experiment management", "wandb".

monitoring-database-health

jeremylongshore/claude-code-plugins-plus-skills

Monitor use when you need to work with monitoring and observability. This skill provides health monitoring and alerting with comprehensive guidance and automation. Trigger with phrases like "monitor system health", "set up alerts", or "track metrics".

monitoring-database-transactions

jeremylongshore/claude-code-plugins-plus-skills

Monitor use when you need to work with monitoring and observability. This skill provides health monitoring and alerting with comprehensive guidance and automation. Trigger with phrases like "monitor system health", "set up alerts", or "track metrics".

apple-notes-observability

jeremylongshore/claude-code-plugins-plus-skills

Monitor Apple Notes automation health and performance metrics. Trigger: "apple notes monitoring".

lokalise-observability

jeremylongshore/claude-code-plugins-plus-skills

Set up comprehensive observability for Lokalise integrations with metrics, traces, and alerts. Use when implementing monitoring for Lokalise operations, setting up dashboards, or configuring alerting for Lokalise integration health. Trigger with phrases like "lokalise monitoring", "lokalise metrics", "lokalise observability", "monitor lokalise", "lokalise alerts", "lokalise tracing".

mistral-observability

jeremylongshore/claude-code-plugins-plus-skills

Set up comprehensive observability for Mistral AI with metrics, traces, and alerts. Use when implementing monitoring for Mistral AI operations, setting up dashboards, or configuring alerting for integration health. Trigger with phrases like "mistral monitoring", "mistral metrics", "mistral observability", "monitor mistral", "mistral alerts".

Schedule reminders and recurring tasks.

amemo-last-data

LeoYeAI/openclaw-master-skills

当用户说「今日健康简报」「健康日报」「健康总览」「今日健康情况」时调用，获取全部类型最新健康数据并生成综合评估报告。

LeoYeAI/openclaw-master-skills

Access your Gevety health data - biomarkers, healthspan scores, biological age, supplements, medications, medical profile, activities, strength training, erg results, daily actions, 90-day health protocol, upcoming tests, lab reports, health documents, and health content

LeoYeAI/openclaw-master-skills

个人全维度健康管理系统，中西医融合。当用户涉及运动训练计划、饮食营养建议、健康数据记录追踪、中医体质辨识、节气养生、舌诊分析、性健康记录等话题时立即触发。提供四位顾问（Coach Alex 运动教练 / Dr. Mei 营养师 / Analyst Ray 数据分析师 / Dr. Chen 中医体质顾问），支持深度建档和长期追踪。任何"帮我建档"、"记录今天运动"、 "我的体质"、"舌苔厚白"类请求均应触发本 skill。

LeoYeAI/openclaw-master-skills

🎓 Your personal learning assistant — explains any concept with clarity and depth, making complex ideas intuitive through diagrams and analogies. Auto-archives notes, tracks mastery of every sub-concept, and tests understanding with real interview-style questions. Remembers your learning progress across sessions, schedules reviews based on the forgetting curve, and passively senses knowledge growth within active learning sessions. Gets smarter about you over time — records your learning preferences and always teaches in the way that works best for you.