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hrv-alexithymia-expert

Analyze HRV biometrics with heartpy and neurokit2 for alexithymia training.

181|30|Updated Nov 16, 2025
Search Tags:#interoception#alexithymia#stress management#biofeedback#hrv#emotional intelligence
One-click install
npx skills add https://github.com/curiositech/some_claude_skills --skill hrv-alexithymia-expert-curiositech
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hrv-alexithymia-expert
Source: https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/hrv-alexithymia-expert
Command: npx skills add https://github.com/curiositech/some_claude_skills --skill hrv-alexithymia-expert-curiositech

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires heartpy, neurokit2, scipy, numpy, pandas, matplotlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you understand and improve your emotional awareness by analyzing heart rate variability (HRV) and providing tools for interoception and biofeedback training, particularly for those struggling with alexithymia.

Core Features & Use Cases

  • HRV Analysis: Calculate and interpret key HRV metrics (RMSSD, SDNN, LF/HF) to understand autonomic nervous system balance and stress levels.
  • Alexithymia Support: Provides resources for understanding alexithymia, assessing its severity, and building emotional vocabulary.
  • Biofeedback Training: Guides users through breathing exercises and body-emotion mapping to enhance emotional regulation and interoception.
  • Use Case: If you often feel stressed but can't pinpoint the emotion, this Skill can help you connect your physical sensations (measured by HRV) to specific emotional states, enabling better self-management.

Quick Start

Analyze my recent HRV data to identify my current emotional state and suggest a relevant training protocol.

Frequently Asked Questions about hrv-alexithymia-expert

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does heart rate variability analysis help with emotional awareness and alexithymia?▼

Heart rate variability analysis helps with emotional awareness by calculating autonomic nervous system metrics like RMSSD and LF/HF to map physical stress responses to emotional states, enabling better interoception for individuals experiencing alexithymia.

How do I calculate HRV metrics like RMSSD and SDNN using Python for stress management?▼

You can calculate HRV metrics like RMSSD and SDNN in Python using the heartpy and neurokit2 libraries, which process raw heart rate data to quantify autonomic nervous system balance and provide actionable stress management insights.

What is the TAS-20 assessment and how is it used for alexithymia support?▼

The TAS-20 is an assessment tool used to evaluate the severity of alexithymia, helping users identify difficulties in identifying and describing feelings so that targeted biofeedback and emotional vocabulary training protocols can be applied.

Can I use neurokit2 and heartpy together for biofeedback training and interoception?▼

Yes, neurokit2 and heartpy can be used together for biofeedback training to compute heart rate variability metrics, which are then integrated with body-emotion mapping exercises to enhance interoception and emotional regulation.

What biofeedback protocols are effective for stress management when I can't pinpoint my emotions?▼

Effective biofeedback protocols for stress management include guided breathing exercises and body-emotion mapping, which connect physical sensations measured by heart rate variability to specific emotional states to improve emotional intelligence.

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