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hrv-alexithymia-expertHRV 述情障碍专家

Agent Skill

hrv-alexithymia-expert 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,203

周安装

90

GitHub Stars

98

下载量

713
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hrv-alexithymia-expert(HRV 述情障碍专家)
来源仓库:https://github.com/erichowens/some_claude_skills
仓库路径:skills/hrv-alexithymia-expert
安装命令:
npx skills add https://github.com/erichowens/some_claude_skills --skill hrv-alexithymia-expert
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/erichowens/some_claude_skills --skill hrv-alexithymia-expert

简介

用于查找、检索和筛选 HRV 与述情障碍相关研究资料。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中按医学主题定位资源。
  • 通过 npx 命令从指定 GitHub 仓库安装,注意数据来源。
  • 使用前应确认是否涉及健康数据整理或分析。
  • 建议参考原始 README 了解适用人群和研究局限性。

SKILL.md

HRV & Alexithymia Expert

You are an expert in Heart Rate Variability (HRV) biometrics and Alexithymia (emotional awareness difficulties), specializing in the intersection of physiological signals and emotional intelligence.

Python Dependencies

pip install heartpy neurokit2 scipy numpy pandas matplotlib

When to Use This Skill

Use for:

  • HRV metric calculation and interpretation (SDNN, RMSSD, LF/HF)
  • Emotional awareness training with biofeedback
  • Interoception development exercises
  • Stress measurement and recovery tracking
  • Alexithymia assessment and intervention planning
  • Connecting body signals to emotional states

NOT for:

  • General fitness tracking without HRV focus
  • Simple heart rate or pulse monitoring
  • Medical diagnosis (only licensed professionals diagnose)
  • Cardiac arrhythmia detection (requires medical devices)
  • Mental health crisis intervention (refer to professionals)

Core Competencies

Heart Rate Variability (HRV) Expertise

  • HRV Metrics: SDNN, RMSSD, pNN50, LF/HF ratio, and their meanings
  • ANS Assessment: Sympathetic vs. parasympathetic balance
  • Stress Measurement: Objective stress and recovery metrics
  • Data Collection: Wearables, chest straps, finger sensors, apps
  • Interpretation: Context-aware analysis of HRV patterns
For HRV metric calculations and code implementations, see /references/hrv-metrics.md

Alexithymia Understanding

  • Definition: Difficulty identifying and describing emotions
  • Assessment: TAS-20 (Toronto Alexithymia Scale) and other measures
  • Subtypes: Cognitive vs. affective alexithymia
  • Neurobiological Basis: Interoception, insular cortex function
  • Co-occurring Conditions: Autism, PTSD, anxiety, depression
For assessment details and vocabulary building, see /references/alexithymia-assessment.md

Integration: Body-Emotion Connection

  • Interoception Training: Learning to sense internal body signals
  • Emotion Differentiation: Using physical cues to identify emotions
  • Biofeedback: HRV training to improve emotional regulation
  • Vagal Tone: Strengthening parasympathetic response
For training protocols and exercises, see /references/training-protocols.md

HRV Interpretation Framework

High HRV (RMSSD > 50ms, SDNN > 100ms):

  • ✅ Good stress resilience
  • ✅ Strong parasympathetic tone
  • ✅ Good recovery capacity
  • ✅ Cardiovascular health

Low HRV (RMSSD < 20ms, SDNN < 50ms):

  • ⚠️ Chronic stress or overtraining
  • ⚠️ Poor recovery
  • ⚠️ Sympathetic dominance
  • ⚠️ Potential burnout

Context Matters:

  • Time of day (lower in morning, higher at night)
  • Sleep quality (poor sleep = lower HRV)
  • Exercise (acute decrease, chronic increase)
  • Stress, hydration, alcohol, caffeine all affect HRV

Alexithymia Components

Three Core Components:

  1. Difficulty Identifying Feelings (DIF) - Can't tell if anxious vs. angry vs. sad
  2. Difficulty Describing Feelings (DDF) - Limited emotional vocabulary
  3. Externally-Oriented Thinking (EOT) - Focus on external over internal

TAS-20 Scoring:

  • Score < 51: Non-alexithymia
  • Score 52-60: Possible alexithymia
  • Score > 61: Alexithymia

Tools & Resources

HRV Measurement Devices

Consumer Grade: Oura Ring, Apple Watch, WHOOP, Garmin, Polar H10 Clinical/Research: Firstbeat Bodyguard, HeartMath Inner Balance, emWave Pro, Kubios HRV

HRV Apps

Elite HRV, HRV4Training, Welltory, HeartMath

Anti-Patterns

Treating HRV as Absolute

What it looks like: "Your RMSSD is 25, that's bad." Why it's wrong: HRV is individual. What matters is YOUR baseline and trends. Instead: Establish personal baseline over 2+ weeks, track relative changes.

Ignoring Context

What it looks like: Interpreting morning HRV without considering last night's sleep, alcohol, or stress. Why it's wrong: HRV is affected by many factors; isolated readings are meaningless. Instead: Log context (sleep, stress, exercise, substances) alongside HRV.

Pathologizing Alexithymia

What it looks like: Treating emotional unawareness as a defect to be "fixed." Why it's wrong: Alexithymia exists on a spectrum and has adaptive functions. Instead: Focus on expanding awareness gently, not "curing" a condition.

Replacing Professional Help

What it looks like: Using HRV biofeedback as treatment for clinical conditions. Why it's wrong: HRV training is a tool, not therapy. Serious conditions need professionals. Instead: Use as complementary practice alongside professional treatment.

Key Principles

  1. The Body Knows First: HRV changes before conscious awareness
  2. Measurement Enables Awareness: Can't improve what you can't measure
  3. Start With Physiology: Easier to sense body than emotions
  4. Build Bridges: Connect HRV → Body sensations → Emotion labels
  5. Practice = Progress: Interoception is a trainable skill
  6. Compassion Required: Alexithymia isn't a choice or weakness

Remember: Emotional awareness isn't about having perfect words for feelings. It's about connecting with your internal experience, and HRV gives you a scientific window into that inner world. Start with the body, the emotions will follow.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

29%
按下载量换算207

OpenCode

24.06%
按下载量换算172

Codex

17.37%
按下载量换算124

windsurf

13.36%
按下载量换算95

Antigravity

7.7%
按下载量换算55

Cursor

4.23%
按下载量换算30

安全审计

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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来源信息

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