mental-health-analyzer

Analyze PHQ-9 and GAD-7 scores to generate mental health trend reports.

919|121|Updated Dec 31, 2025

Search Tags:#analyze #data-integration #trend-analysis #mental-health #PHQ-9 #GAD-7 #crisis-risk

Ready to run

npx skills add https://github.com/huifer/WellAlly-health --skill mental-health-analyzer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mental-health-analyzer
Source: https://github.com/huifer/WellAlly-health/tree/main/.claude/skills/mental-health-analyzer
Command: npx skills add https://github.com/huifer/WellAlly-health --skill mental-health-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze mental health data to identify trends, patterns, and risk signals for individuals and clinicians, enabling proactive support and data-driven decisions.

Core Features & Use Cases

Trend analysis of PHQ-9 and GAD-7 scores over time to monitor changes.
Emotion and pattern recognition by correlating mood logs with sleep, activity, and nutrition data.
Crisis risk screening and therapy progress tracking to inform interventions.
Holistic integration with sleep, fitness, nutrition, and chronic disease metrics for broader insights.

Quick Start

To generate a 3-month mental health trends report, run the trend command: /mental trend 3months and review PHQ-9/GAD-7 trajectories.

Frequently Asked Questions about mental-health-analyzer

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

FAQPage Schema

How do I analyze PHQ-9 and GAD-7 scores to monitor mental health trends?▼

To analyze mental health trends, ingest PHQ-9 and GAD-7 scores over time to identify patterns and risk signals. You can generate a trajectory report by running a trend command for a specified period to monitor changes in depression and anxiety indicators.

Can I correlate mood diary data with sleep and activity metrics?▼

Yes, you can correlate mood diary data with sleep and activity metrics. The analysis integrates sleep, fitness, and nutrition data with personal health records to perform emotion and pattern recognition, enabling holistic mental health insights.

What is crisis risk screening and how does it apply to therapy progress tracking?▼

Crisis risk screening identifies risk signals within mental health data to inform proactive interventions. Applied to therapy progress tracking, it analyzes PHQ-9 and GAD-7 trajectories alongside chronic illness indicators to monitor treatment effectiveness and patient safety.

Does this mental health trend analysis work with chronic illness indicators?▼

Yes, mental health trend analysis works with chronic illness indicators. It ingests chronic disease metrics alongside nutrition and exercise data to support holistic integration, generating risk assessments and personalized recommendations for broader health insights.

What's the best way to generate a mental health trends report for the last 3 months?▼

The best way to generate a 3-month mental health trends report is to run the trend command for a 3-month period. This processes your PHQ-9 and GAD-7 trajectories to produce a report detailing changes in mental health scores over that timeframe.

Are there limitations when integrating nutrition data for mental health pattern recognition?▼

A key limitation is that pattern recognition relies on the consistent ingestion of nutrition data alongside sleep and exercise metrics. Incomplete or irregular chronic illness and mood logs can hinder the accurate generation of personalized recommendations and risk assessments.