heady-wellness-mirror

Model a privacy-first wellness system tracking mood, energy, and stress.

1|Updated Mar 24, 2026

Search Tags:#coaching #wellness #privacy #data-architecture #mood-tracking #CBT #longitudinal-analysis

Ready to run

npx skills add https://github.com/HeadyAI/heady-context --skill heady-wellness-mirror

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: heady-wellness-mirror
Source: https://github.com/HeadyAI/heady-context/tree/main/heady-skills/heady-wellness-mirror
Command: npx skills add https://github.com/HeadyAI/heady-context --skill heady-wellness-mirror

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design and operate a privacy-first personal wellness system that tracks emotional health, energy patterns, and wellbeing signals to provide proactive coaching and self-awareness tools.

Core Features & Use Cases

Privacy-first mood, energy, and stress tracking with CBT-aligned coaching flows.
Longitudinal wellness pattern analysis and adaptive check-ins across multiple devices.
Proactive alerts, safety boundaries, and a wellness dashboard integrating with the Heady stack.

Quick Start

Initialize a new wellness profile and start daily mood and energy check-ins with CBT coaching prompts.

Frequently Asked Questions about heady-wellness-mirror

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

FAQPage Schema

How do I set up privacy-first mood tracking with CBT-aligned coaching prompts?▼

To set up privacy-first mood tracking, initialize a new wellness profile to start daily mood and energy check-ins with CBT-aligned coaching prompts. The system defines data-types, consent, encryption, retention, and access control requirements for secure daily operation.

What is longitudinal wellness pattern analysis and how does it work?▼

Longitudinal wellness pattern analysis tracks mood, energy, and stress signals over time to identify behavioral trends. It operates through adaptive check-ins across multiple devices, enabling proactive alerts and safety boundaries within a centralized wellness dashboard.

Does this wellness coaching system require external dependencies or platforms?▼

No external dependencies are required to operate this wellness coaching system. It functions independently within the Heady wellness stack, defining its own data architecture, encryption, consent, and integration requirements for the dashboard and coaching workflows.

Can I use longitudinal mood tracking for proactive mental health alerts?▼

Yes, longitudinal mood tracking enables proactive alerts and safety boundaries. By continuously modeling emotional health, energy patterns, and stress signals, the system triggers alerts based on predefined safety thresholds and adaptive check-in data.

What's the best way to manage data architecture and access control for wellness tracking?▼

The best way to manage data architecture for wellness tracking is using a system that explicitly defines data-types, consent, encryption, retention, and access control. This privacy-first approach ensures sensitive mood and energy data remains secure across all dashboard integrations.

How does adaptive check-in coaching compare to standard mood tracking approaches?▼

Adaptive check-in coaching surpasses standard mood tracking by applying longitudinal pattern analysis to dynamically adjust prompts. Unlike static logging, it delivers proactive CBT-aligned coaching flows and safety alerts based on continuously modeled emotional health and energy patterns.