Mental Health Analyzer

Mental Health Analyzer is a comprehensive mental health data analysis skill from the Claude-Ally-Health project. It helps users track psychological states, identify emotional patterns, monitor crisis risks, and optimize coping strategies through evidence-based assessment tools.

Key Features

1. Mental Health Assessment Analysis

Track and analyze standardized mental health assessments:

PHQ-9 Depression Tracking: Monitor depression score trends and severity changes
GAD-7 Anxiety Tracking: Analyze anxiety symptoms and patterns over time
PSQI Sleep Quality: Correlate sleep quality with mental health states
Severity Detection: Identify changes in severity levels (none/mild/moderate/severe)
Trend Prediction: Forecast mental health trajectory (improving/stable/declining)

2. Emotional Pattern Recognition

Identify patterns in emotions, triggers, and coping strategies:

Common Emotions: Track frequency and intensity of different emotions
Trigger Identification: Recognize events and situations that affect mood
Coping Strategy Effectiveness: Evaluate which coping mechanisms work best
Emotional Cycles: Detect recurring emotional patterns and cycles
Mood Variability: Assess emotional stability and volatility

3. Mental Health Treatment Progress Tracking

Monitor therapeutic progress and goal achievement:

Treatment Goal Achievement: Track progress toward therapy goals
Symptom Improvement: Measure reduction in depression and anxiety symptoms
Therapy Effectiveness: Assess correlation between therapy and improvement
Medication Response: Monitor mental health changes after medication adjustments
Progress Visualization: Generate charts showing treatment journey

4. Crisis Risk Assessment

Multi-level crisis detection and early warning:

High Risk: PHQ-9 item 9 (self-harm ideation) changes, rapid deterioration
Medium Risk: Moderate severity with increasing trend
Low Risk: Mild symptoms with stable or improving trend
Risk Alerts: Automated warnings for concerning patterns
Professional Referral: Recommendations for immediate professional help when needed

5. Sleep-Mental Health Correlation

Analyze relationships between sleep and psychological wellbeing:

Sleep Quality vs Depression: Correlation between PSQI and PHQ-9 scores
Sleep Disruption Impact: How sleep issues affect mood and anxiety
Sleep Improvement Benefits: Mental health improvements from better sleep
Insomnia Patterns: Identify sleep problems affecting mental health

6. Exercise-Mood Correlation

Examine how physical activity affects emotional state:

Exercise vs Depression: Relationship between workout frequency and mood
Activity Type Analysis: Which exercises most improve mental health
Exercise Timing: Optimal times for mood-boosting workouts
Consistency Benefits: Long-term mental health effects of regular exercise

7. Nutrition-Mental Health Correlation

Study dietary impacts on mood and anxiety:

Nutrient Deficiency: Links between nutrition and mental health
Dietary Patterns: How eating habits affect psychological wellbeing
Caffeine/Alcohol: Effects on anxiety and sleep quality
Mood Foods: Identify foods that support mental health

8. Chronic Disease-Mental Health Correlation

Understand bidirectional relationships with physical health:

Chronic Pain: Impact on depression and anxiety
Diabetes: Blood sugar control and mood stability
Cardiovascular: Stress and cardiovascular risk
Disease Burden: Psychological effects of chronic illness management

Use Cases

Who Should Use This Skill?

Therapy Clients: Track mental health progress between sessions
Depression/Anxiety Patients: Monitor symptoms and treatment effectiveness
Mental Health Professionals: Data-driven insights for clinical decisions
Wellness Enthusiasts: Understand factors affecting emotional wellbeing
Chronic Disease Patients: Manage psychological aspects of chronic conditions
Caregivers: Track mental health of loved ones (with consent)

Problems It Solves

Progress Invisibility: Quantifies mental health improvements that feel subjective
Trigger Identification: Reveals patterns in what affects your mental state
Treatment Optimization: Shows which interventions actually work
Early Warning: Detects concerning trends before full crisis
Holistic Understanding: Connects mental health with sleep, exercise, and nutrition

Technical Implementation

Assessment Tools Used

PHQ-9 (Patient Health Questionnaire-9): Standard depression screening (0-27 scale)
GAD-7 (Generalized Anxiety Disorder-7): Anxiety assessment (0-21 scale)
PSQI (Pittsburgh Sleep Quality Index): Sleep quality measurement
Daily Mood Logs: Subjective emotional state tracking

Analysis Methods

Time Series Analysis: Trend detection and forecasting
Correlation Analysis: Relationships between variables (Pearson, Spearman)
Change Point Detection: Identify significant shifts in mental state
Risk Scoring: Multi-factor crisis risk calculation
Pattern Recognition: Recurring emotional cycles and triggers

Data Sources

data-example/mental-health-tracker.json: Main mental health profile
data-example/mental-health-logs/.index.json: Log index
data-example/mental-health-logs/YYYY-MM/YYYY-MM-DD.json: Daily mood diaries
Cross-reference with sleep, exercise, nutrition, chronic disease data

Medical Safety Boundaries

What This Skill CANNOT Do

❌ Diagnose mental health disorders
❌ Prescribe psychiatric medications
❌ Predict suicide risk or self-harm behavior
❌ Replace professional mental health treatment
❌ Handle acute psychiatric crises

What This Skill CAN Do

✅ Identify mental health trends and patterns
✅ Assess crisis risk levels and issue alerts
✅ Provide coping strategy suggestions (non-therapeutic)
✅ Track treatment progress and goal achievement
✅ Provide professional help recommendations
✅ Analyze mental health correlations with other health factors

Getting Started

Prerequisites

Claude Code or Claude.ai with Skills support
Mental health data in Claude-Ally-Health format
Minimum data: 3 PHQ-9/GAD-7 assessments OR 7 days of mood logs

Quick Start Guide

Collect Data: Complete PHQ-9/GAD-7 assessments and daily mood logs
Trigger Analysis: Say "analyze my mental health trends"
Review Patterns: Examine emotional patterns and trigger analysis
Check Progress: View therapy progress if in treatment
Act on Insights: Implement recommendations and track changes

Example Commands

"Analyze my mental health trends"
"Show my emotional patterns"
"Track my therapy progress"
"Assess crisis risk"
"Generate mental health report"
"How does sleep affect my mood?"
"Which coping strategies work best for me?"

Advantages & Unique Selling Points

Compared to General Mood Tracking Apps:

Clinical Assessment Tools: Uses validated PHQ-9 and GAD-7 instruments
Crisis Detection: Multi-level risk assessment with automated alerts
Holistic Analysis: Connects mental health with sleep, exercise, nutrition, chronic disease
Treatment Tracking: Specifically designed for therapy progress monitoring
Evidence-Based: Recommendations based on clinical research

What Makes It Stand Out:

Integration with comprehensive health tracking system
Automated correlation analysis across health dimensions
Medical safety boundaries with clear referral guidelines
Privacy-first local data storage
Contextual insights from daily life factors

Integration

Works seamlessly with:

Sleep Analyzer: Understand sleep-mood bidirectional relationships
Fitness Analyzer: Track exercise benefits for mental health
Nutrition Analyzer: Identify dietary impacts on mood
Chronic Disease Trackers: Manage psychological aspects of chronic illness
AI Health Analyzer: Comprehensive health risk including mental health

Frequently Asked Questions

Is this a replacement for therapy?

No. This skill provides data analysis and insights but cannot replace professional mental health treatment. Always consult mental health professionals for diagnosis and treatment.

How accurate is the crisis risk assessment?

The assessment uses validated screening tools and pattern analysis but is not diagnostic. High risk alerts should prompt immediate professional consultation, not self-treatment.

Yes. The generated reports and visualizations can provide valuable data for therapeutic discussions. Always use professional judgment about what to share.

What if I get a high-risk alert?

High-risk alerts indicate you should seek immediate professional help. Contact a mental health crisis line, your therapist, or go to an emergency room. Don't rely solely on the skill.

Does it track medication effects?

Yes, you can log medication changes and the skill will analyze correlations with symptom improvements, but it cannot recommend medications or dosage changes.

If you're interested in Mental Health Analyzer, you might also find these Claude-Ally-Health skills useful:

Sleep Analyzer: Sleep quality analysis and improvement recommendations
Fitness Analyzer: Exercise tracking for mood benefits
Nutrition Analyzer: Dietary analysis for mental health support
AI Health Analyzer: Comprehensive health including mental health risk prediction

Tips & Best Practices

Consistent Logging: Daily mood logs provide richer insights than assessments alone
Honest Reporting: Accuracy depends on honest self-reporting
Regular Assessments: Complete PHQ-9/GAD-7 monthly for trend tracking
Contextual Notes: Add notes about life events affecting mood
Share with Professionals: Use insights to inform therapy discussions
Act on Patterns: Implement changes based on identified triggers and effective coping strategies
Emergency Plan: Have a crisis plan ready before high-risk situations

Conclusion

Mental Health Analyzer empowers individuals to understand and improve their mental health through data-driven insights. By tracking standardized assessments, identifying patterns, and analyzing correlations with lifestyle factors, it provides valuable information for self-awareness and therapeutic progress. While not a replacement for professional care, it's a powerful complement to mental health treatment and personal wellbeing practices.

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Mental Health Analyzer