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Wearable Fitness Tech Guide

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install wearable-fitness-tech-guide
功能描述
Explains key fitness wearable metrics, helps interpret data by goal, suggests personalized zones, warns of common misuses, and advises practical usage habits.
使用说明 (SKILL.md)

Wearable Fitness Tech Guide

⚠️ Educational only. This skill does not replace medical devices or professional health monitoring. Fitness wearables are consumer electronics, not clinical diagnostic tools. Consult a doctor for health concerns; do not self-diagnose from wearable data.

Description

Helps users understand and make better use of their fitness wearables, from heart rate zones to sleep and recovery metrics.

Required Inputs

  • Device type and model
  • Fitness goal
  • Current metrics of interest
  • Confusion points about data
  • Training type

Prompt Flow

  1. Clarify which device the user has and what confuses them.
  2. Explain key metrics in plain language tied to their fitness goal.
  3. Suggest personalized heart rate, HRV, or recovery zones.
  4. Warn against common data misinterpretations.
  5. Provide practical daily habits for using the device effectively.

Output Structure

Key Metric Explanations

Walk through the metrics the user's device tracks, explaining each in plain English:

  • Heart Rate (HR): Beats per minute; reflects current exertion level.
  • Resting Heart Rate (RHR): Taken upon waking; lower over time may signal improved cardiovascular fitness.
  • Heart Rate Zones: Percentage bands of max HR representing different training intensities.
  • Heart Rate Variability (HRV): Variation between heartbeats; higher generally indicates better recovery and nervous system balance.
  • Step Count: Useful for general movement baseline but not a complete fitness metric.
  • Calories Burned: Estimates from algorithms; can be inaccurate by 20-40%. Use for trends, not precision.
  • Sleep Stages: Estimates of light, deep, and REM sleep; direction of trends matters more than single-night values.
  • VO₂ Max Estimate: Cardio fitness estimate derived from pace and heart rate data; trends useful, absolute value may differ from lab tests.
  • Training Load / Strain: Cumulative workout intensity; helps track whether you are undertraining or overreaching.
  • Recovery / Readiness Score: Composite score combining HRV, sleep, and recent load; use as a guideline, not a command.

Recommended Zones and Ranges for Their Goal

Personalized zone recommendations based on the user's fitness goal:

  • General Health: Zone 1-2 (50-70% max HR) for the bulk of weekly activity.
  • Endurance Building: Zone 2 (60-70% max HR) for long sessions; Zone 3 for tempo work.
  • Speed / Performance: Zone 4-5 intervals (80-95% max HR) mixed with Zone 2 volume.
  • Weight Management: A mix of Zone 2 base and some higher-intensity work; nutrition matters far more than calorie-burn numbers.
  • Recovery-Focused: Stay in Zone 1; use HRV trend and readiness scores to decide intensity.

How to Use Data for Training Decisions

  • Use HRV trends (weekly averages) rather than single-day scores to adjust training.
  • A falling HRV over 3-5 days paired with rising RHR often signals accumulating fatigue — consider a lighter day.
  • Sleep data trends inform sleep hygiene adjustments, not training prescriptions.
  • Heart rate zones help keep easy days truly easy — the most common error is running moderate efforts in Zone 3 when Zone 2 was intended.

Common Misinterpretations to Avoid

  1. Treating calorie burn as precise: It is an estimate, not a bank statement.
  2. Chasing high step counts at the expense of varied movement: Steps don't capture strength, mobility, or intensity.
  3. Over-reacting to a single bad sleep score: One night doesn't define recovery; look at weekly patterns.
  4. Assuming higher HRV is always better: HRV is individual; compare against your own baseline, not others.
  5. Believing a low readiness score means you must rest: Use it as a prompt to check in with how you feel; subjective feeling matters more than any algorithm.
  6. Comparing metrics with friends: Different devices, algorithms, and baselines make cross-person comparison meaningless.

Practical Daily and Weekly Habits with the Device

  • Morning: Check RHR and HRV trends before looking at anything else (when the device supports it).
  • During workouts: Use heart rate zones to stay in the intended effort range, especially for easy sessions.
  • Evening: Note sleep data but don't stress over it — anxiety about sleep scores hurts sleep itself.
  • Weekly review (e.g., Sunday): Look at weekly HRV trend, training load balance, and how you felt vs. what the numbers say.
  • Do not wear 24/7 if it causes anxiety: Take breaks from the device; the goal is awareness, not obsession.

Safety Boundaries

  • Does not replace medical devices or professional health monitoring.
  • Does not diagnose medical conditions from wearable data.
  • Metrics are educational estimates and may not reflect clinical accuracy.
  • Users with health concerns should consult a doctor, not rely on wearable data.
  • The user is responsible for not over-relying on metrics and for seeking professional care when needed.
安全使用建议
This skill appears safe to install from an agentic-security perspective. It discusses personal fitness and wearable metrics, so users should treat its output as educational, avoid relying on it for medical decisions, and consult a healthcare professional for health concerns.
功能分析
Type: OpenClaw Skill Name: wearable-fitness-tech-guide Version: 1.0.0 The 'wearable-fitness-tech-guide' skill is a document-only prompt flow designed to provide educational information about fitness metrics. It contains no executable code, requests no network or credential access, and includes clear safety disclaimers regarding medical advice. All files (SKILL.md, skill.json, and ACCEPTANCE.md) are aligned with the stated purpose of helping users interpret wearable data.
能力评估
Purpose & Capability
The artifacts coherently support an educational wearable-metrics guide, including explanations of heart rate, HRV, sleep, calories, zones, and recovery trends.
Instruction Scope
The prompt flow is limited to clarifying the user's device, goal, metrics, and confusion points, then providing educational guidance and warnings against overreliance.
Install Mechanism
There is no install spec and no executable code; skill.json declares document-only behavior with no API, network, code execution, or credentials.
Credentials
No binaries, environment variables, credentials, config paths, network access, or local file access are requested.
Persistence & Privilege
The skill does not declare or describe persistent storage, background activity, privilege escalation, account access, or autonomous mutation.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install wearable-fitness-tech-guide
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /wearable-fitness-tech-guide 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of Wearable Fitness Tech Guide skill. - Explains fitness wearable metrics in plain language, tailored to your device and goals. - Recommends personalized heart rate, HRV, and recovery zones for different training objectives. - Warns about common data misinterpretations, such as over-reliance on calorie counts or readiness scores. - Offers practical daily and weekly habits to get the most from your device. - Emphasizes that fitness wearables do not replace medical advice or clinical tools.
元数据
Slug wearable-fitness-tech-guide
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Wearable Fitness Tech Guide 是什么?

Explains key fitness wearable metrics, helps interpret data by goal, suggests personalized zones, warns of common misuses, and advises practical usage habits. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 44 次。

如何安装 Wearable Fitness Tech Guide?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install wearable-fitness-tech-guide」即可一键安装,无需额外配置。

Wearable Fitness Tech Guide 是免费的吗?

是的,Wearable Fitness Tech Guide 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Wearable Fitness Tech Guide 支持哪些平台?

Wearable Fitness Tech Guide 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Wearable Fitness Tech Guide?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

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