daobrew-wellness

Analyze biometric stress patterns and guide personalized breathing sessions.

7|1|Updated Apr 11, 2026

Search Tags:#health monitoring #tcg #biometrics #breathing #stress #real-time analysis #developer wellness

Ready to run

npx skills add https://github.com/DaoBrewAI/daobrew-wellness-mcp --skill daobrew-wellness

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: daobrew-wellness
Source: https://github.com/DaoBrewAI/daobrew-wellness-mcp/tree/main
Command: npx skills add https://github.com/DaoBrewAI/daobrew-wellness-mcp --skill daobrew-wellness

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @modelcontextprotocol/sdk, child_process, fs, path, os, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

It enables developers and users to monitor and assess their stress levels using biometric data integrated with Traditional Chinese Medicine concepts.

Core Features & Use Cases

Real-time Biometric Monitoring: Reads and analyzes data from Apple Watch, Oura Ring, or Google Fit to identify stress patterns.
Stress Pattern Identification: Detects five specific stress states (Tension, Overdrive, Stagnation, Constriction, Depletion) to guide recovery practices.
Interactive Guided Recovery: Starts personalized breathing sessions with real-time feedback using therapeutic audio and live dashboards.
Use Case: A developer fatigued after hours can activate this tool to receive a micro-recovery session tailored to their biometric signals, reducing burnout risk.

Quick Start

Call daobrew_check to identify your current stress state, then initiate daobrew_breathe with the detected pattern to start a guided session.

Frequently Asked Questions about daobrew-wellness

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

FAQPage Schema

How do I monitor developer stress using biometric data?▼

You can monitor developer stress by reading and analyzing real-time biometric data from Apple Watch, Oura Ring, or Google Fit to identify specific stress patterns and trigger guided breathing interventions.

How does Traditional Chinese Medicine integrate with real-time biometric analysis?▼

Traditional Chinese Medicine frameworks integrate with real-time biometric analysis by mapping physiological stress signals to five specific stress states—Tension, Overdrive, Stagnation, Constriction, and Depletion—to guide personalized micro-recovery practices.

Can I use Apple Watch or Oura Ring for real-time stress pattern detection?▼

Yes, you can use Apple Watch or Oura Ring for real-time stress pattern detection. The system reads biometric health sensor data from these devices to identify stress patterns and activate micro-recovery workflows.

What is the best way to start a guided breathing session for burnout recovery?▼

The best way to start a guided breathing session for burnout recovery is to first call a biometric stress assessment to identify your current stress state, then initiate a matched breathing session with real-time feedback and therapeutic audio.

Does biometric health monitoring require specific sensors for stress management?▼

Biometric health monitoring for stress management requires compatible health sensors like Apple Watch, Oura Ring, or Google Fit to provide the real-time physiological data needed for accurate stress pattern detection and session management.

How is biometric health data secured during stress assessment sessions?▼

Biometric health data is secured during stress assessment sessions by implementing health data security protocols within the signal analysis and session management workflows, ensuring proactive stress management protects user privacy.