sleep-analyzer

Analyze sleep data to identify patterns, trends, and quality metrics.

919|121|Updated Dec 31, 2025
One-click install
npx skills add https://github.com/huifer/WellAlly-health --skill sleep-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sleep-analyzer
Source: https://github.com/huifer/WellAlly-health/tree/main/.claude/skills/sleep-analyzer
Command: npx skills add https://github.com/huifer/WellAlly-health --skill sleep-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Sleep data often resides in disparate sources, but users need clear insights to improve rest. This skill analyzes sleep patterns, quality, and consistency, then links them with lifestyle data to provide actionable recommendations.

Core Features & Use Cases

  • Trend analysis of sleep duration, efficiency, and timing to identify improvements or concerns.
  • Sleep quality assessment and insomnia/breathing risk screening with personalized guidance.
  • Correlation analysis with activity, caffeine, mood, and diet to inform behavioral changes.
  • Use Case: A user tracks sleep and workouts and wants a weekly report showing lifestyle adjustments that improved sleep metrics.

Quick Start

Use the sleep-analyzer to generate a 90-day sleep quality report from the data sources in your environment.

Frequently Asked Questions about sleep-analyzer

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

FAQPage Schema
How do I analyze sleep data to find patterns and quality metrics?

Sleep data analysis identifies patterns, trends, and quality metrics by evaluating sleep duration, efficiency, and timing to highlight improvements or concerns for personalized health tracking.

Can I correlate sleep quality with lifestyle habits like caffeine and activity?

Yes, sleep quality correlation analysis links sleep data with activity, caffeine, mood, and diet metrics to inform behavioral changes and provide personalized recommendations.

What is the best way to generate a weekly sleep quality report?

Generating a weekly sleep quality report involves analyzing sleep patterns and consistency across a time horizon, then linking them with lifestyle data to provide actionable recommendations.

Does sleep trend analysis include insomnia and breathing risk screening?

Sleep trend analysis includes sleep quality assessment and insomnia or breathing risk screening, providing personalized guidance to help improve rest and overall sleep consistency.

How do I compute sleep consistency metrics for a 90-day period?

Computing sleep consistency metrics over a 90-day period involves analyzing sleep duration, efficiency, and timing trends from your data sources to generate a comprehensive sleep quality report.

What data do I need for sleep pattern analysis and personalized recommendations?

Sleep pattern analysis requires sleep duration and timing data, alongside lifestyle metrics like activity, caffeine, mood, and diet, to compute quality scores and generate actionable recommendations.