How does it assess crisis risk?

The skill uses a multi-level risk detection mechanism that scores factors like assessment scores, symptom deterioration rates, social withdrawal, and specific high-priority warning signs.

Does this skill provide medical diagnoses?

No, this skill is a data analysis tool designed to identify patterns and trends in provided logs. It does not provide medical diagnoses, prescribe medication, or replace professional psychiatric care.

Can it analyze the impact of physical activity on mood?

Yes, it correlates fitness-tracker data with mood logs to determine the relationship between exercise frequency, type, and emotional improvement.

What data formats does the analyzer support?

It primarily processes structured JSON data, including mood diaries, sleep logs, and standardized assessment scores (PHQ-9 and GAD-7) stored in specific directory structures.

Mental Health Data Analyzer

Name: Mental Health Data Analyzer
Author: huifer

byhuifer

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644

Data Science & ML

Analyzes mental health metrics, identifies emotional patterns, and correlates psychological well-being with sleep, exercise, and nutrition data.

About

Mental Health Data Analyzer is a specialized Claude Code skill designed to provide deep insights into psychological well-being by processing standardized tracking data. It evaluates trends in assessments like PHQ-9 and GAD-7, identifies mood triggers through pattern recognition, and monitors therapy progress. By correlating mental health with lifestyle factors such as sleep quality, physical activity, and nutrition, it helps users understand the holistic drivers of their mood while providing multi-level crisis risk assessments and actionable wellness recommendations.

Key Features

Therapy progress tracking and goal attainment analysis
Automatic mood pattern recognition and trigger identification
Trend analysis for standardized assessments including PHQ-9, GAD-7, and PSQI
Multi-factor correlation between mood, sleep, exercise, and nutrition
Automated crisis risk scoring and multi-level warning system
644 GitHub stars

Use Cases

Generating comprehensive mental health reports for professional clinical review
Tracking the direct impact of lifestyle changes on emotional stability
Monitoring therapy effectiveness and symptom improvement over long-term periods

About

Key Features

Therapy progress tracking and goal attainment analysis
Automatic mood pattern recognition and trigger identification
Trend analysis for standardized assessments including PHQ-9, GAD-7, and PSQI
Multi-factor correlation between mood, sleep, exercise, and nutrition
Automated crisis risk scoring and multi-level warning system
644 GitHub stars

Use Cases

Generating comprehensive mental health reports for professional clinical review
Tracking the direct impact of lifestyle changes on emotional stability
Monitoring therapy effectiveness and symptom improvement over long-term periods