Mental Health Analyzer Skill

Trigger Conditions

The skill is automatically triggered in the following situations:

1. User runs /mental trend to view mental health trends
2. User runs /mental pattern to analyze mood patterns
3. User runs /mental therapy progress to view therapy progress
4. User runs /crisis assessment for crisis risk assessment
5. User runs /mental report to generate a mental health report

Medical Safety Boundaries

What this skill CANNOT do:

• Cannot make mental illness diagnoses
• Cannot prescribe psychiatric medications
• Cannot predict suicide risk or self-harm behavior
• Cannot replace professional psychotherapy
• Cannot 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 therapy progress and goal achievement
• Provide referral recommendations and professional resource information
• Analyze correlations between mental health and other health factors

Execution Steps

Step 1: Data Reading

Read mental health data files:

• data-example/mental-health-tracker.json - Main mental health file
• data-example/mental-health-logs/.index.json - Log index
• data-example/mental-health-logs/YYYY-MM/YYYY-MM-DD.json - Daily mood journal

Data Validation:

• Check if files exist
• Verify data structure integrity
• Confirm sufficient data points for analysis (minimum 3 PHQ-9/GAD-7 assessments, or 7 days of mood journal)

Step 2: Mental Health Assessment Trend Analysis

PHQ-9 Depression Score Trend Analysis:

- Analyze PHQ-9 scores at different time points
- Calculate score change rate (points/month)
- Identify severity changes (none/mild/moderate/severe)
- Monitor PHQ-9 item 9 (self-harm ideation) changes
- Predict future trends (improving/stable/worsening)
- Correlate with therapy progress

GAD-7 Anxiety Score Trend Analysis:

- Analyze GAD-7 score temporal changes
- Identify anxiety symptom change patterns
- Correlate triggers with anxiety levels
- Evaluate coping strategy effectiveness
- Predict anxiety trends

PSQI Sleep Quality and Mental State Correlation:

- PSQI score correlation with PHQ-9/GAD-7 scores
- Impact of sleep disturbance on mood
- Relationship between sleep improvement and mental state improvement

Severity Change Detection:

- Identify severity escalation (needs attention)
- Identify severity reduction (positive signal)
- Detect rapid deterioration (>=5 points/month, crisis alert)
- Detect rapid improvement (reinforce effective strategies)

Step 3: Mood Pattern Recognition

Common Mood Statistics:

- Count most frequent primary moods (top 5)
- Calculate average mood intensity
- Identify mood distribution patterns
- Analyze emotional diversity

Temporal Pattern Analysis:

- Daily mood change patterns (morning/afternoon/evening)
- Weekly mood change patterns (Monday through Sunday)
- Mood fluctuation magnitude (variance/standard deviation)
- Emotional stability assessment

Trigger Factor Analysis:

- Count high-frequency triggers (top 10)
- Calculate average impact of each trigger
- Identify high-risk triggers (high impact + high frequency)
- Correlate triggers with mood types

Coping Strategy Effectiveness Assessment:

- Calculate effectiveness of each coping strategy (helpful/unhelpful ratio)
- Identify highly effective coping strategies (>80% effective)
- Identify ineffective coping strategies (<50% effective)
- Analyze coping strategy-mood type matching

Step 4: Therapy Progress Tracking

Treatment Goal Achievement Assessment:

- Calculate completion percentage for each goal
- Evaluate symptom improvement (baseline -> current -> target)
- Estimate goal achievement timeline
- Identify lagging goals (need adjustment)

Treatment Process Analysis:

- Treatment frequency and adherence
- Homework completion rate and quality
- Therapeutic alliance strength
- Pre- and post-session mood changes

Symptom Improvement Assessment:

- PHQ-9/GAD-7 score changes (pre-treatment -> post-treatment)
- Symptom relief percentage
- Functional level improvement
- Quality of life changes

Step 5: Crisis Risk Assessment (Priority: Highest)

Multi-Level Risk Detection Mechanism:

Risk level calculation (total score 0-20+):

1. PHQ-9 Item 9 detection (highest priority)
   - Score = 2 (often): +10 points, automatically classified as high risk
   - Score = 1 (sometimes): +5 points
   - Score = 0 (not at all): +0 points

2. Rapid symptom deterioration detection
   - Rapid deterioration (>=5 points/month): +5 points
   - Deterioration (2-4 points/month): +3 points
   - Stable (-1 to 1 points/month): +0 points
   - Improvement (<=-2 points/month): -2 points

3. High-intensity negative mood proportion detection
   - Proportion > 70%: +3 points
   - Proportion 50-70%: +2 points
   - Proportion < 50%: +0 points

4. Mood fluctuation detection
   - Variance > 6 (large fluctuation): +2 points
   - Variance 4-6 (moderate fluctuation): +1 point
   - Variance < 4 (small fluctuation): +0 points

5. Crisis plan warning signal detection
   - Each warning signal detected: +2 points

6. Social withdrawal detection
   - Severe withdrawal (alone time > 80%): +3 points
   - Moderate withdrawal (alone time 50-80%): +2 points
   - Mild/no withdrawal: +0 points

7. Functional impairment detection
   - Severe impairment (>=5 days/week): +4 points
   - Moderate impairment (3-4 days/week): +2 points
   - Mild/no impairment: +0 points

Risk level determination:
- High risk (>=10 points): Seek immediate medical attention, initiate crisis intervention
- Moderate risk (5-9 points): Close monitoring, consider medical visit (within 48 hours)
- Low risk (0-4 points): Continue monitoring, regular assessment

Crisis Warning Signal Detection:

- Hopelessness
- Social withdrawal
- Extreme mood swings
- Talk of death
- Giving away possessions
- Self-harm ideation
- Suicidal thoughts
- Substance abuse

Emergency Action Trigger Conditions:

Seek immediate medical attention (within 24 hours):
- PHQ-9 item 9 score >= 2
- Total risk score >= 10
- Hallucinations or delusions
- Self-harm or suicide plan

Seek prompt medical attention (within 48 hours):
- PHQ-9 >= 15 or GAD-7 >= 15
- Total risk score 5-9
- Rapid symptom deterioration (>=5 points/month)
- Severe functional impact

Seek scheduled medical attention (within 1 month):
- PHQ-9 10-14 or GAD-7 10-14
- Total risk score < 5 but symptoms persist
- Need professional support

Step 6: Sleep-Mental Health Correlation Analysis

Data Sources:

• Read data-example/sleep-tracker.json
• Extract sleep duration, sleep quality (PSQI), sleep onset time, etc.

Correlation Analysis:

- Correlation between sleep duration and PHQ-9 scores
- Correlation between sleep quality and GAD-7 scores
- Relationship between insomnia symptoms and mood stability
- Temporal relationship between sleep improvement and mental state improvement
- Association between sleep disturbance types and specific psychological symptoms

Analysis Output:

- Correlation coefficients and statistical significance
- Impact of sleep on mental state (high/moderate/low)
- Sleep improvement recommendations
- Bidirectional relationship between sleep and mood

Step 7: Exercise-Mood Correlation Analysis

Data Sources:

• Read data-example/fitness-tracker.json
• Extract exercise frequency, exercise type, exercise intensity, exercise duration, etc.

Correlation Analysis:

- Relationship between exercise frequency and average mood intensity
- Relationship between exercise type and mood improvement effects
- Relationship between exercise intensity and anxiety levels
- Relationship between exercise duration and mood persistence
- Post-exercise mood change patterns
- Relationship between exercise habits and depression symptoms

Analysis Output:

- Degree of positive impact of exercise on mood
- Most effective exercise type recommendations
- Optimal exercise frequency recommendations
- Relationship between exercise and coping strategies

Step 8: Nutrition-Mental Health Correlation Analysis

Data Sources:

• Read data-example/nutrition-tracker.json
• Extract caffeine intake, sugar intake, dietary habits, etc.

Correlation Analysis:

- Relationship between caffeine intake and GAD-7 anxiety scores
- Association between sugar intake and mood fluctuations
- Relationship between dietary regularity and mood stability
- Specific nutrient deficiencies (vitamin D, Omega-3) and depression symptoms
- Dietary patterns and overall mental health

Analysis Output:

- Degree of dietary impact on mental state
- Nutrition recommendations (e.g., reduce caffeine, balanced diet)
- Possible nutritional deficiency alerts
- Dietary adjustment recommendations

Step 9: Chronic Disease-Mental Health Correlation Analysis

Data Sources:

• Read related chronic disease data files (e.g., diabetes-tracker.json, hypertension-tracker.json)
• Extract disease control status, symptom burden, functional limitations, etc.

Correlation Analysis:

- Relationship between chronic pain and depression symptoms
- Relationship between disease control status and mental state
- Relationship between functional limitations and mental health
- Relationship between disease burden and anxiety levels
- Comorbidity pattern recognition
- Impact of medication side effects on mood
- Relationship between medication adherence and symptom improvement

Analysis Output:

- Degree of chronic disease impact on mental health
- Mental health issues requiring special attention
- Holistic health management recommendations
- Benefits of mental health support for disease management

Step 10: Report Generation

Output includes:

• Mental health status summary
• Assessment scale trend analysis
• Mood patterns and triggers
• Therapy progress assessment
• Crisis risk level and recommendations
• Correlation analysis with other health factors
• Personalized recommendations and action plans

Output Format

Mental Health Analysis Report Structure

# Mental Health Analysis Report

**Report Date**: YYYY-MM-DD
**Analysis Period**: YYYY-MM-DD to YYYY-MM-DD
**Data Completeness**: Good

**Important Notice**: This report is for reference only and does not constitute a medical diagnosis. If you have serious psychological distress, please seek help from a professional psychologist or psychiatrist.

---

## Crisis Risk Alert

**Current Risk Level**: Low Risk | Moderate Risk | High Risk

**Risk Score**: X/20

**Risk Factors**:
- [List detected risk factors]

**Recommended Actions**:
- [Provide specific recommendations based on risk level]

---

## 1. Mental Health Status Summary

[Overall assessment: Excellent/Good/Fair/Needs Improvement/Crisis]
- PHQ-9 score: X points (severity)
- GAD-7 score: X points (severity)
- Sleep quality: X points (PSQI)
- Overall trend: Improving/Stable/Worsening

## 2. Mental Assessment Trend Analysis

### PHQ-9 Depression Score Trend
- Current score: X points
- Baseline score: X points
- Change: +/-X points
- Rate of change: X points/month
- Trend: Improving/Stable/Worsening
- Severity change: [Severity 1] -> [Severity 2]

**Chart Description**:
- [Line chart showing PHQ-9 score changes]
- [Mark severity thresholds: 5, 10, 15]

**Special Attention**:
- Item 9 (self-harm ideation) score: X
- Highest scoring item: [item name]
- Persistent issues: [list items]

### GAD-7 Anxiety Score Trend
- Current score: X points
- Baseline score: X points
- Change: +/-X points
- Rate of change: X points/month
- Trend: Improving/Stable/Worsening

**Chart Description**:
- [Line chart showing GAD-7 score changes]
- [Mark severity thresholds: 5, 10, 15]

**Primary Anxiety Symptoms**:
- Highest scoring item: [item name]
- Primary triggers: [list]

### PSQI Sleep Quality
- Total score: X points
- Sleep quality: [assessment]
- Primary issues: [list problem components]

## 3. Mood Pattern Analysis

### Common Moods
1. [Mood 1] - X% proportion, avg intensity X/10
2. [Mood 2] - X% proportion, avg intensity X/10
3. [Mood 3] - X% proportion, avg intensity X/10

**Chart Description**:
- [Pie chart showing mood distribution]
- [Radar chart showing multi-dimensional mood]

### Temporal Patterns
- Morning: Primary mood [mood], avg intensity X/10
- Afternoon: Primary mood [mood], avg intensity X/10
- Evening: Primary mood [mood], avg intensity X/10

### Weekly Patterns
- Monday-Friday: Primary mood [mood], avg intensity X/10
- Weekends: Primary mood [mood], avg intensity X/10

### Emotional Stability
- Fluctuation level: High/Moderate/Low
- Mood variance: X

**Chart Description**:
- [Line chart showing mood intensity over time]
- [Fluctuation range visualization]

## 4. Trigger Factor Analysis

### High-Frequency Triggers (Top 10)
| Rank | Trigger | Frequency | Avg Impact |
|------|---------|-----------|------------|
| 1 | [Trigger 1] | X times | High/Moderate/Low |
| 2 | [Trigger 2] | X times | High/Moderate/Low |
| ... |

### High-Risk Triggers (High Impact + High Frequency)
- [Trigger 1] - Frequency X, impact high, suggestion: [coping advice]
- [Trigger 2] - Frequency X, impact high, suggestion: [coping advice]

**Chart Description**:
- [Bar chart showing trigger frequency]
- [Heat map showing trigger-mood type correlations]

## 5. Coping Strategy Effectiveness Assessment

### Coping Strategy Ranking (by effectiveness)
| Coping Strategy | Effective Count | Ineffective Count | Effectiveness Rate | Rank |
|----------------|----------------|-------------------|-------------------|------|
| [Strategy 1] | X times | X times | XX% | 1 |
| [Strategy 2] | X times | X times | XX% | 2 |
| ... |

### Highly Effective Strategies (>80% effective)
- [Strategy 1] - XX% effectiveness, recommended for use
- [Strategy 2] - XX% effectiveness, recommended for use

### Ineffective Strategies (<50% effective)
- [Strategy 1] - XX% effectiveness, consider adjusting or discontinuing
- [Strategy 2] - XX% effectiveness, consider adjusting or discontinuing

**Chart Description**:
- [Bar chart showing coping strategy effectiveness ranking]
- [Pie chart showing effective/ineffective ratio]

## 6. Therapy Progress

### Treatment Overview
- Treatment type: [CBT/Psychodynamic/Humanistic, etc.]
- Treatment frequency: [Weekly/Biweekly, etc.]
- Sessions completed: X
- Treatment duration: X months

### Treatment Goal Progress
| Goal | Baseline | Current | Target | Progress | Estimated Achievement |
|------|----------|---------|--------|----------|----------------------|
| [Goal 1] | X pts | X pts | X pts | XX% | YYYY-MM-DD |
| [Goal 2] | X pts | X pts | X pts | XX% | YYYY-MM-DD |

**Overall Progress Assessment**: [Excellent/Good/Fair/Needs Improvement]

### Symptom Improvement
- PHQ-9 score change: X pts -> X pts, XX% improvement
- GAD-7 score change: X pts -> X pts, XX% improvement
- Overall functional level: [Improved/Stable/Worsened]

### Homework Completion
- Average completion rate: XX%
- High-quality completion: XX%
- Areas needing improvement: [list]

## 7. Crisis Risk Assessment

### Risk Level
**Current Risk Level**: Low Risk | Moderate Risk | High Risk

**Risk Score**: X/20

### Risk Factor Analysis
| Risk Factor | Score | Details |
|------------|-------|---------|
| PHQ-9 Item 9 | X pts | Score X, [details] |
| Symptom Change | X pts | [Rapid deterioration/Deterioration/Stable/Improvement] |
| Mood Intensity | X pts | High-intensity negative mood proportion XX% |
| Mood Fluctuation | X pts | Fluctuation [large/moderate/small] |
| Warning Signals | X pts | X warning signals detected: [list] |
| Social Withdrawal | X pts | [Severe/Moderate/Mild/No] withdrawal |
| Functional Impairment | X pts | [Severe/Moderate/Mild/No] impairment |

### Detected Warning Signals
- [List if any]

### Recommended Actions
- [Provide specific action recommendations based on risk level]

### Emergency Resources
- Mental health crisis hotline: 988 (Suicide & Crisis Lifeline, US) / contact local emergency services
- Psychiatric emergency: Nearest hospital emergency department
- Emergency number: 911 (US) / local emergency number

## 8. Correlation Analysis with Other Health Factors

### Sleep-Mental Health Correlation
**Correlation Strength**: High/Moderate/Low

**Key Findings**:
- Correlation between sleep duration and PHQ-9 scores: r=X.XX
- Relationship between sleep quality and mood stability: [description]
- Primary sleep issues: [list]
- Potential benefits of improving sleep on mental state: [description]

**Recommendations**:
- [Specific sleep improvement recommendations]

### Exercise-Mood Correlation
**Correlation Strength**: High/Moderate/Low

**Key Findings**:
- Relationship between exercise frequency and mood improvement: [description]
- Most effective exercise types: [list]
- Post-exercise mood changes: [description]

**Recommendations**:
- [Specific exercise recommendations]

### Nutrition-Mental Health Correlation
**Correlation Strength**: High/Moderate/Low

**Key Findings**:
- Relationship between caffeine intake and anxiety: [description]
- Relationship between sugar intake and mood fluctuations: [description]
- Possible nutritional deficiencies: [list]

**Recommendations**:
- [Specific nutrition recommendations]

### Chronic Disease-Mental Health Correlation
**Correlation Strength**: High/Moderate/Low

**Key Findings**:
- Relationship between [chronic disease] and mental state: [description]
- Impact of disease burden on mental health: [description]
- Relationship between functional limitations and mood: [description]

**Recommendations**:
- [Specific holistic health management recommendations]

## 9. Comprehensive Recommendations

### Immediate Actions (if applicable)
- [List actions to take immediately if there are urgent issues]

### This Week's Action Plan
1. [Action item 1] - Priority: High/Moderate/Low
2. [Action item 2] - Priority: High/Moderate/Low
3. ...

### Monthly Goals
1. [Goal 1]
2. [Goal 2]
3. ...

### Areas to Continue
- [List areas that are going well, encourage continued effort]

### Areas to Improve
- [List areas needing improvement, provide specific suggestions]

### Recommended Resources
- [Books/apps/support groups/online resources, etc.]

## 10. Data Quality Notes

- Data completeness: [Excellent/Good/Fair/Needs Improvement]
- PHQ-9 assessments: X times
- GAD-7 assessments: X times
- Mood journal entries: X entries
- Time span: X days

---

**Report generated**: YYYY-MM-DD HH:MM:SS
**Next assessment recommended**: YYYY-MM-DD

**Disclaimer**: This report is automatically generated by the mental health analyzer skill. It is for reference only and does not constitute a medical diagnosis or treatment recommendation. If you have any mental health concerns, please seek help from a professional psychologist or psychiatrist.

Usage Examples

Example 1: Trend Analysis

User Input:

/mental trend 3months

Skill Execution:

1. Read the most recent 3 months of PHQ-9 and GAD-7 assessment data
2. Calculate score change rates and trends
3. Analyze severity changes
4. Check PHQ-9 item 9 changes
5. Generate trend report

Output:

# Mental Health Trend Analysis (Past 3 Months)

## Overall Trend
- PHQ-9: 14 pts -> 8 pts, improved by 6 pts, Trend: Improving
- GAD-7: 12 pts -> 6 pts, improved by 6 pts, Trend: Improving
- Rate of change: ~2 pts/month

## Severity Changes
- PHQ-9: Moderate depression -> Mild depression
- GAD-7: Moderate anxiety -> Mild anxiety

## Positive Signals
- Sustained symptom improvement
- PHQ-9 item 9 score: 1 -> 0
- Treatment is effective

## Recommendations
- Continue current treatment
- Maintain exercise and sleep habits
- Next assessment: 1 month from now

Example 2: Mood Pattern Analysis

User Input:

/mental pattern

Skill Execution:

1. Read mood journal data
2. Count common moods and temporal patterns
3. Analyze triggers and coping strategies
4. Generate pattern recognition report

Output:

# Mood Pattern Analysis

## Common Moods (Top 3)
1. Anxiety - 35% proportion, avg intensity 7/10
2. Fatigue - 25% proportion, avg intensity 6/10
3. Calm - 20% proportion, avg intensity 7/10

## Temporal Patterns
- Morning: Calm (intensity 7/10)
- Afternoon: Anxiety (intensity 7/10)
- Evening: Fatigue (intensity 6/10)

## Primary Triggers (Top 5)
1. Work stress - 12 times, impact high
2. Sleep deprivation - 8 times, impact moderate
3. Exercise - 6 times, impact positive
4. Social activities - 5 times, impact positive
5. Traffic congestion - 4 times, impact moderate

## Highly Effective Coping Strategies
1. Exercise - 90% effectiveness
2. Meditation - 85% effectiveness
3. Deep breathing - 75% effectiveness

## Recommendations
- When afternoon work stress is high, try deep breathing or a short walk
- Maintain regular exercise, which has significant mood improvement effects
- Improving sleep can help reduce anxiety and fatigue

Example 3: Crisis Risk Assessment

User Input:

/crisis assessment

Skill Execution:

1. Read the most recent PHQ-9/GAD-7 assessments
2. Read the most recent mood journal entries
3. Execute crisis risk detection algorithm
4. Calculate risk score and level
5. Generate crisis risk report

Output:

# Crisis Risk Assessment

## Current Risk Level: Low Risk

**Risk Score**: 3/20

## Risk Factor Analysis
| Risk Factor | Score | Details |
|------------|-------|---------|
| PHQ-9 Item 9 | 0 pts | Score 0, no self-harm ideation |
| Symptom Change | -2 pts | Improving trend |
| Mood Intensity | 2 pts | High-intensity negative mood proportion 45% |
| Mood Fluctuation | 1 pt | Moderate fluctuation |
| Warning Signals | 0 pts | None detected |
| Social Withdrawal | 0 pts | Social activities are good |
| Functional Impairment | 0 pts | Function normal |
| **Total** | **3 pts** | **Low risk** |

## Recommended Actions
- Continue monitoring mental state
- Maintain healthy lifestyle habits
- Regular mental health assessments (monthly)
- Continue psychotherapy (if applicable)

## Emergency Resources (for reference)
- Mental health crisis hotline: 988 (Suicide & Crisis Lifeline, US) / contact local emergency services
- Psychiatric emergency: Nearest hospital emergency department
- Emergency number: 911 (US) / local emergency number

If any of the following occur, seek professional help immediately:
- Self-harm or suicidal thoughts or plans
- Hallucinations, delusions
- Complete loss of function
- Uncontrollable emotional outbursts

Example 4: Therapy Progress Analysis

User Input:

/mental therapy progress

Skill Execution:

1. Read therapy records and goals
2. Calculate goal completion percentages
3. Analyze symptom improvement
4. Evaluate homework completion
5. Generate therapy progress report

Output:

# Therapy Progress Analysis

## Treatment Overview
- Treatment type: CBT (Cognitive Behavioral Therapy)
- Treatment frequency: Weekly
- Sessions completed: 24
- Treatment duration: 5 months

## Treatment Goal Progress
| Goal | Baseline | Current | Target | Progress | Est. Achievement |
|------|----------|---------|--------|----------|-----------------|
| Reduce anxiety level | 14 pts | 8 pts | 5 pts | 57% | 2025-08-01 |
| Improve sleep quality | 10 pts | 6 pts | 4 pts | 60% | 2025-07-15 |
| Increase pleasant activities | 2x/week | 5x/week | 7x/week | 50% | 2025-07-01 |

**Overall Progress Assessment**: Good

## Symptom Improvement
- PHQ-9 score: 14 pts -> 8 pts, 43% improvement
- GAD-7 score: 14 pts -> 6 pts, 57% improvement
- Overall functional level: Significantly improved

## Homework Completion
- Average completion rate: 85%
- High-quality completion: 60%
- Area needing improvement: Cognitive restructuring exercises

## Treatment Highlights
- Significant anxiety symptom improvement
- Notable sleep quality improvement
- Behavioral activation working well
- Improved cognitive distortion identification

## Continue
- Weekly therapy sessions
- Daily relaxation exercises
- Behavioral activation (exercise, social activities)
- Thought records

## Areas to Strengthen
- Cognitive restructuring exercises
- Coping skill application
- Sleep hygiene maintenance

Example 5: Correlation Analysis

User Input:

/mental analysis correlations

Skill Execution:

1. Read mental health, sleep, exercise, nutrition, chronic disease data
2. Calculate correlation coefficients
3. Analyze impact levels
4. Generate correlation analysis report

Output:

# Mental Health Correlation Analysis

## Sleep-Mental Health Correlation (Strength: High)

### Key Findings
- Sleep duration negatively correlated with PHQ-9 score (r=-0.72, p<0.01)
- Sleep quality positively correlated with mood stability (r=0.68, p<0.01)
- Each 1-point improvement in PSQI is associated with 1.2-point decrease in PHQ-9

### Sleep Problem Impact
- Difficulty falling asleep -> 40% increase in next-day anxiety
- Night waking -> 35% increase in next-day low mood
- Insufficient sleep -> Difficulty concentrating, increased mood fluctuations

### Recommendations
- Maintain regular schedule, aim to be in bed by 23:00
- Improve sleep hygiene: avoid afternoon caffeine
- Continue relaxation exercises to promote sleep

## Exercise-Mood Correlation (Strength: High)

### Key Findings
- Exercise frequency positively correlated with positive mood proportion (r=0.75, p<0.01)
- Average mood intensity 1.5 points higher on exercise days vs. non-exercise days
- Anxiety decreases by 50% on average after exercise

### Most Effective Exercise Types
1. Aerobic exercise (running, swimming) - 85% improvement rate
2. Yoga - 80% improvement rate
3. Outdoor walking - 75% improvement rate

### Recommendations
- Maintain 3-5 exercise sessions per week, 30+ minutes each
- Prioritize aerobic exercise
- Try outdoor walking when anxious

## Nutrition-Mental Health Correlation (Strength: Moderate)

### Key Findings
- Caffeine intake positively correlated with GAD-7 score (r=0.52, p<0.05)
- High-sugar diet positively correlated with mood fluctuations (r=0.48, p<0.05)
- Insufficient Omega-3 intake may be associated with depression symptoms

### Recommendations
- Reduce caffeine intake (max 2 cups/day)
- Reduce added sugar intake
- Consider Omega-3 supplementation (consult physician)

## Comprehensive Recommendations
Based on correlation analysis, the following lifestyle factors are most effective for improving mental health:
1. **Regular exercise** (3-5 times/week, 30 min+)
2. **Adequate sleep** (7-8 hours, in bed by 23:00)
3. **Balanced diet** (reduce caffeine and sugar)
4. **Continued treatment** (CBT psychotherapy)

These 4 areas combined contribute approximately **75%** of mental health improvement.

Example 6: Full Report Generation

User Input:

/mental report

Skill Execution:

1. Read all relevant data
2. Execute complete analysis workflow
3. Generate interactive HTML report
4. Include crisis warnings and recommendations

Output: Generates a complete mental health analysis HTML report file, including:

• All charts (ECharts interactive charts)
• Crisis risk warnings (if applicable)
• Detailed analysis and recommendations
• Downloadable or printable

Error Handling

Data File Not Found

Error: Mental health data file not found.
Suggestion: Please use /mental assess or /mental mood commands to create data first.

Insufficient Data

Warning: Insufficient data for trend analysis.
Suggestion: At least 3 PHQ-9/GAD-7 assessments or 7 days of mood journal needed.
Current data: X PHQ-9 assessments, X mood journal entries.

High Crisis Risk

CRISIS WARNING: High risk factors detected.

Immediate actions:
1. Contact mental health crisis hotline: 988 (US) / local emergency services
2. Go to nearest psychiatric emergency department
3. Call emergency number: 911 (US) / local emergency number
4. Contact family or friends to stay with you

Detected risk factors:
- [List high-risk factors]

Do not hesitate - seek professional help immediately!

Data Source Description

Primary Data Sources:

• data-example/mental-health-tracker.json - Main mental health data
• data-example/mental-health-logs/ - Mood journal logs

Related Data Sources:

• data-example/sleep-tracker.json - Sleep data
• data-example/fitness-tracker.json - Exercise data
• data-example/nutrition-tracker.json - Nutrition data
• data-example/diabetes-tracker.json - Diabetes data (if applicable)
• data-example/hypertension-tracker.json - Hypertension data (if applicable)
• data-example/medication-tracker.json - Medication data

Performance Optimization

For large data volumes (e.g., >6 months of mood journal), the following optimization strategies are used:

• Data aggregation: Aggregate mood data by week/month
• Sampling analysis: Random sampling of representative data points
• Incremental analysis: Analyze only newly added data
• Cache intermediate results