Agent skill

hrv-alexithymia-expert

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).

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codecan modify files
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill hrv-alexithymia-expert --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 6 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBashmcp__firecrawl__firecrawl_searchWebFetch
Path: skills/hrv-alexithymia-expert/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the 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 ```bash 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 Col

What's inside
Steps it walks through
  1. Python Dependencies
  2. When to Use This Skill
  3. Core Competencies
  4. Heart Rate Variability (HRV) Expertise
  5. Alexithymia Understanding
  6. Integration: Body-Emotion Connection
  7. HRV Interpretation Framework
  8. Alexithymia Components
  9. Tools & Resources
  10. HRV Measurement Devices
  11. HRV Apps
  12. Anti-Patterns
  13. Treating HRV as Absolute
  14. Ignoring Context
Ships with 4 files
  • CHANGELOG.md
  • references/alexithymia-assessment.md
  • references/hrv-metrics.md
  • references/training-protocols.md
Commands it runs
pip install heartpy neurokit2 scipy numpy pandas matplotlib
More from OpenClaw-Medical-Skills
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About this skill
What does the hrv-alexithymia-expert skill do?

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).

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill hrv-alexithymia-expert --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going