chronotype

Integrates sleep timing, preferences, and heart-rate rhythm to determine chronotype.

Updated May 12, 2026
One-click install
npx skills add https://github.com/aquiladev/claude-skills --skill chronotype
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chronotype
Source: https://github.com/aquiladev/claude-skills/tree/main/skills/chronotype
Command: npx skills add https://github.com/aquiladev/claude-skills --skill chronotype

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib, numpy, scipy, python-docx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill resolves the confusion of conflicting sleep data by synthesizing behavioral, preference, and physiological markers into a single, actionable chronotype profile.

Core Features & Use Cases

  • Multi-Method Analysis: Combines MSF_sc (behavioral), rMEQ (preference), and HRP (physiological) to provide a robust, cross-validated circadian assessment.
  • Actionable Guidance: Generates a professional Word report containing social jet lag metrics, estimated CBTmin, and personalized light-timing recommendations.
  • Use Case: If you feel constantly misaligned with your work schedule, use this skill to determine if you are a true night owl or simply suffering from social jet lag, and receive specific instructions on when to seek morning light to shift your phase.

Quick Start

Use the chronotype skill to analyze my wearable data in the folder named my-health-export and generate a report.

Frequently Asked Questions about chronotype

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

FAQPage Schema
How do I determine my chronotype from wearable data?

To determine your chronotype from wearable data, this skill integrates behavioral sleep timing, self-reported preferences, and heart-rate rhythm analysis to calculate a cross-validated circadian profile.

Can I analyze sleep data from Apple Health or WHOOP exports?

Yes, you can analyze sleep data from Apple Health, WHOOP, Oura, or generic tracker exports. The skill processes time-series data to assess your behavioral sleep markers and circadian phase.

How does heart rate rhythm analysis identify social jet lag?

Heart rate rhythm analysis identifies social jet lag by comparing physiological markers against behavioral sleep timing. It estimates your minimum core body temperature and detects misalignment with your schedule.

Do I need any specific Python libraries to generate a sleep chronotype report?

You need matplotlib, numpy, scipy, and python-docx to process time-series wearable data and generate a comprehensive diagnostic Word report containing social jet lag metrics and light-timing recommendations.

What is the best way to get personalized light timing recommendations from sleep tracker data?

The best way to get personalized light timing recommendations is by synthesizing behavioral, preference, and physiological markers. This generates specific instructions on when to seek morning light to shift your circadian phase.

Why does my wearable sleep data conflict with my actual energy levels?

Wearable sleep data often conflicts with energy levels because it lacks cross-validation. By synthesizing behavioral sleep timing, self-reported preferences, and physiological heart-rate rhythms, this skill resolves conflicting data into one actionable profile.