sleep-analysis

Analyze wearable sleep data against PSG benchmarks to generate Korean coaching reports.

Updated Apr 24, 2026

Search Tags:#data-analysis #coaching #garmin #sleep-analysis #hrv #wearable #chronobiology

Ready to run

npx skills add https://github.com/hyesungoh/ohrmin-claw --skill sleep-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sleep-analysis
Source: https://github.com/hyesungoh/ohrmin-claw/tree/main/.claude/skills/sleep-analysis
Command: npx skills add https://github.com/hyesungoh/ohrmin-claw --skill sleep-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

수면 데이터(총수면, 단계, 효율, HRV)를 PSG 기준 문헌과 wearable 검증 결과에 대비해 평가하고, 운동 부하·시간생물학·LEA/REDs 컨텍스트를 통합한 한국어 코칭 리포트를 생성하는 프레임워크. 트리거: 수면 분석, 수면 품질, 잠, 깊은 수면, REM, 수면 점수, 수면 효율, 새벽 각성

Core Features & Use Cases

PSG 기반 문헌 및 wearable 검증에 근거한 수면 데이터 해석과 코칭 리포트 생성
운동 부하, 시간생물학, LEA/REDs 맥락을 통합한 일관된 피드백 제공
7일 추세 중심 분석으로 실행 가능한 권고를 생성

Quick Start

Generate a Korean coaching report from the latest 7 days of sleep data.

Frequently Asked Questions about sleep-analysis

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

FAQPage Schema

How do I analyze wearable sleep data against PSG benchmarks for coaching?▼

Wearable sleep data analysis compares metrics like total sleep time, stages, efficiency, and HRV against PSG literature and validated benchmarks to produce a structured coaching report with actionable recommendations.

Can I use Garmin wearable data to evaluate sleep quality and chronobiology?▼

Yes, Garmin wearable data integrates directly into the sleep analysis framework, evaluating sleep quality and chronobiology alongside training load and LEA/REDs contexts to deliver coach-friendly feedback.

Why does sleep coaching prioritize 7-day trends over single-night values?▼

Sleep coaching prioritizes 7-day trends over single-night values because trend analysis provides a more reliable assessment of sleep patterns, reducing noise from isolated nightly fluctuations in sleep efficiency and HRV.

What is the best way to interpret HRV and sleep stages for athletic training load?▼

Interpreting HRV and sleep stages for training load involves analyzing wearable data against PSG references and integrating chronobiology and LEA/REDs contexts to generate consistent, actionable coaching feedback.

Does sleep analysis support Korean language coaching reports?▼

Yes, sleep analysis generates Korean language coaching reports that structure wearable sleep data interpretation into actionable recommendations aligned with PSG literature and validated benchmarks.

When should I not rely on single-night sleep efficiency scores for coaching decisions?▼

You should not rely on single-night sleep efficiency scores when coaching decisions require stable pattern recognition, as isolated values lack the context of 7-day trends, training load, and chronobiology.