patterns

Name: patterns
Availability: InStock
Author: alecpritzos

Organize health patterns by confidence tier with supporting data and timeframes.

1|Updated Apr 2, 2026

Search Tags:#patterns #health #data-visualization #sleep #pattern-recognition #wearable

Ready to run

npx skills add https://github.com/alecpritzos/daily-vitals --skill patterns-alecpritzos

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: patterns
Source: https://github.com/alecpritzos/daily-vitals/tree/main/plugin/skills/patterns
Command: npx skills add https://github.com/alecpritzos/daily-vitals --skill patterns-alecpritzos

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Displaying all of the system-learned health patterns in a clear, organized view saves you time and helps you understand how your wearable metrics relate to your daily routines.

Core Features & Use Cases

Group patterns by confidence tier (Watching, Emerging, Confirmed, Debunked) with concise descriptions
Show supporting data, data points, and timeframes to aid decision-making
Use cases include quick reviews before coaching sessions or personal health optimization

Quick Start

Show all current patterns grouped by confidence tier.

Frequently Asked Questions about patterns

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

FAQPage Schema

How do I view learned health patterns from my wearable data?▼

The system organizes learned health patterns from wearable metrics into confidence tiers, displaying supporting data points and timeframes to help you review how daily routines relate to your vitals.

What do the confidence tiers for health pattern recognition mean?▼

Confidence tiers classify recognized health patterns into Watching, Emerging, Confirmed, and Debunked categories, indicating the varying reliability levels of each pattern based on accumulated wearable data.

Can I review sleep and vitals patterns before a coaching session?▼

Yes, you can quickly review sleep and vitals patterns before coaching sessions by viewing all system-learned health patterns grouped by confidence tier, providing concise descriptions and supporting data for personal health optimization.

How do I check if a recognized sleep pattern has been debunked?▼

You can check if a recognized sleep pattern has been debunked by browsing the Debunked confidence tier, which organizes health patterns that the system has invalidated based on accumulated wearable data points and timeframes.

Does this health data visualization require the Daily Vitals plugin?▼

This health data visualization is applicable to the Daily Vitals plugin, organizing and displaying learned patterns across Watching, Emerging, Confirmed, and Debunked categories with supporting data and timeframes.

What is the best way to organize health patterns by confidence level?▼

The best way to organize health patterns by confidence level is grouping them into Watching, Emerging, Confirmed, and Debunked tiers, delivering a structured view with data points and timeframes ready for UI presentation.