health-chat

name	health-chat
description	Unified health conversation entry point - automatically loads all health data for each conversation, supports natural language queries, and intelligently routes to appropriate health data processing
user-invocable	true
disable-model-invocation	false
context	fork
agent	general-purpose
argument-hint	<natural language health question or instruction>
allowed-tools	Read, Write
schema	health-chat/schema.md

Health Chat Skill

The unified conversation entry point for WellallyHealth system. Automatically loads and considers all health data for each conversation, providing intelligent health consultation and data analysis services.

Core Design Philosophy

This is the unified conversation entry point for WellallyHealth. Every conversation automatically loads and analyzes all health data, providing intelligent health consultation and data analysis services.

Core Workflow

User Input -> 1. Load All Health Data (data/*.json)
         -> 2. Parse User Intent (query/analysis/advice/alert)
         -> 3. Intelligent Routing to Data Processing Module
         -> 4. Generate Personalized Response
         -> 5. Save Conversation History (ai-history.json)

Step 1: Load Data (Execute Every Conversation)

Core Data Sources (Priority Sorted)

IMPORTANT: Data loading uses data/**/*.json pattern to include all subdirectories.

Data File	Purpose	Key Fields
data/profile.json	User basic info	gender, height, weight, birth_date, BMI, BSA
data/user-settings.json	User preferences	language, units, notifications
data/ai-config.json	AI features config	features, safety, data_sources
data/ai-history.json	Conversation history	recent_conversations

Chronic Condition Tracking Data

Data File	Health Domain
data/hypertension-tracker.json	Hypertension management
data/diabetes-tracker.json	Diabetes management
data/copd-tracker.json	COPD management
data/postpartum-tracker.json	Postpartum management
data/menopause-tracker.json	Menopause management
data/prostate-tracker.json	Prostate health
data/andropause-tracker.json	Male menopause
data/cycle-tracker.json	Menstrual cycle
data/pregnancy-tracker.json	Pregnancy tracking

Specialist Health Data

Data File	Health Domain
data/cognitive-assessment.json	Cognitive assessment
data/eye-health-tracker.json	Eye health
data/fall-risk-assessment.json	Fall risk
data/growth-tracker.json	Growth records
data/fertility-tracker.json	Fertility health

Medical Data

Data File	Purpose
data/medications/medications.json	Medication plans
data/allergies.json	Allergy records
data/vaccinations.json	Vaccination records
data/child-vaccinations.json	Child vaccination
data/radiation-records.json	Radiation exposure
data/polypharmacy-management.json	Polypharmacy
data/interactions/interaction-db.json	Drug interactions

Health Management Data

Data File	Purpose
data/health-feeling-logs.json	Health feeling logs
data/family-health-tracker.json	Family health
data/reminders.json	Reminders
data/travel-health-tracker.json	Travel health

Database Files

Data File	Purpose
data/index.json	Medical records index
data/food-database.json	Food nutrition database
data/vaccine-database.json	Vaccine database
data/child-vaccine-database.json	Child vaccine database
data/nutritional-reference.json	Nutrition reference standards
data/who-growth-standards.json	WHO growth standards

TCM Data

Data File	Purpose
data/constitutions.json	TCM constitution
data/constitution-recommendations.json	Constitution recommendations

Imaging Records

• data/影像检查/YYYY-MM/YYYY-MM-DD_检查名称.json

Step 2: Parse User Intent

Intent Classification

Intent Type	Trigger Keywords	Processing
Data Query	what, how much, recent, average, trend	Read corresponding data, calculate statistics
Health Analysis	analyze, assess, how is, status	Multi-dimensional data analysis
Risk Alert	risk, abnormal, warning	Apply risk models, calculate risk level
Recommendation	advice, how to, improve, should	Generate personalized recommendations
Record Operation	record, add, update	Write to tracker files
Medical Consult	doctor, test, treatment	Check data, provide medical reference
Medication	med, drug, dose, interaction	Read medications data
Symptom Inquiry	symptom, discomfort, pain	Analyze symptoms with health data

Step 3: Intelligent Routing

Data Query Routing

User Question -> Match Keywords -> Route to Data Source
"How is my blood pressure?" -> hypertension-tracker.json -> Analyze BP trends
"How's my sleep lately?" -> Sleep-related data -> Provide assessment
"What's my BMI?" -> profile.json -> Return BMI and advice
"What meds do I take today?" -> medications/medications.json -> Return today's meds

Health Analysis Routing

"Full analysis" -> Read all tracker data -> Generate comprehensive report
"Chronic condition analysis" -> Read chronic trackers -> Specialized analysis
"Mental health" -> Read mental health data -> Assessment and recommendations

Risk Assessment Routing

"Hypertension risk" -> hypertension-tracker.json + profile.json -> Apply Framingham model
"Diabetes risk" -> diabetes-tracker.json + profile.json -> Apply ADA model
"Fall risk" -> fall-risk-assessment.json -> Assessment results

Step 4: Response Generation Guidelines

Response Structure

## 📊 Health Data Summary
[Brief overview based on current data]

## 🎯 Key Findings
[Health metrics or issues needing attention]

## 💡 Personalized Recommendations
[Personalized advice based on data]

## 📈 Trend Analysis
[If applicable, show data trends]

## ⚠️ Risk Alerts
[If applicable, alert on risk factors]

---

⚕️ Medical Disclaimer: This health information is for reference only and cannot replace professional medical advice.
Please consult a healthcare professional for health concerns.

Response Style Requirements

1. Data-Driven: All conclusions must be based on actual data
2. Personalized: Adjust recommendations based on user characteristics
3. Clear & Concise: Avoid excessive medical jargon
4. Positive Orientation: Focus on encouragement and help
5. Safety First: Clearly recommend medical care for high-risk situations

Step 5: Conversation History Management

Save Conversations to ai-history.json

{
  "conversations": [
    {
      "timestamp": "YYYY-MM-DDTHH:mm:ss",
      "user_input": "Original user input",
      "intent": "Identified intent type",
      "data_sources_used": ["List of data files used"],
      "response_summary": "Response summary",
      "follow_up_suggestions": ["Possible follow-up questions"]
    }
  ],
  "statistics": {
    "total_conversations": 100,
    "common_topics": ["blood pressure", "sleep", "medication"],
    "last_updated": "YYYY-MM-DD"
  }
}

Intelligent Routing Examples

Example 1: Blood Pressure Query

User: "How has my blood pressure been lately?"
Routing:
1. Read hypertension-tracker.json
2. Extract recent BP records
3. Calculate average and trends
4. Reference profile.json for basic info
5. Generate personalized response

Example 2: Medication Consultation

User: "What medications should I take today?"
Routing:
1. Read medications/medications.json
2. Read interactions/interaction-db.json
3. Filter today's medication plan
4. Check for interactions
5. Generate medication reminder

Example 3: Health Assessment

User: "Give me a health assessment"
Routing:
1. Read profile.json for basic info
2. Read all chronic condition trackers
3. Read latest test records (index.json)
4. Comprehensive health status analysis
5. Apply risk models (ai-config.json)
6. Generate comprehensive report

Example 4: Symptom Consultation

User: "I've been feeling dizzy lately"
Routing:
1. Read hypertension-tracker.json (check BP)
2. Read diabetes-tracker.json (check blood sugar)
3. Read medications/medications.json (check side effects)
4. Analyze possible correlations
5. Provide reference recommendations
6. Recommend medical care if high risk

Data Reading Priority

Must-Read Data (Every Conversation)

1. data/profile.json - User basic information
2. data/user-settings.json - User preferences
3. data/ai-config.json - AI configuration

On-Demand Data (By Question Type)

• Chronic conditions: Read corresponding tracker
• Medication: Read medications
• Tests: Read index.json and corresponding test records
• Symptoms: Read related health data and medication records

Database Files (Reference Data)

• Read when querying nutrition/vaccine info
• Read when comparing to standard values

Safety Boundaries

1. Medical Disclaimer: Required for every response
2. No Diagnosis: Clearly state non-doctor diagnosis
3. No Prescription: No dosage adjustment recommendations
4. High-Risk Alert: Recommend medical care when risk > 0.7
5. Privacy Protection: Data is local-only by default

Execution Instructions

1. Read profile.json and ai-config.json (mandatory)
2. Analyze user input for intent
3. Read corresponding data files based on intent type
4. Process data and generate response
5. Add medical disclaimer
6. (Optional) Save conversation to ai-history.json

Common Conversation Patterns

Pattern 1: Daily Health Inquiry

User: "I've been feeling tired lately, what's the reason?"
Process:
1. Check sleep data
2. Check recent health status
3. Check medication status
4. Analyze possible causes
5. Provide recommendations

Pattern 2: Data Query

User: "How has my weight changed recently?"
Process:
1. Read weight-related data
2. Calculate trends
3. Visualize display

Pattern 3: Medication Reminder

User: "Did I take my meds today?"
Process:
1. Read medication plan
2. Check today's taken records
3. Remind of missed medications

Pattern 4: Alert Notification

User: "What should I watch out for in my health?"
Process:
1. Check all abnormal indicators
2. Assess risk factors
3. Summarize alerts
4. Provide action recommendations

---

Quick Start

Every conversation starts with automatic execution:

# Step 1: Load core data
Read data/profile.json
Read data/user-settings.json
Read data/ai-config.json

# Step 2: Analyze user input
# Parse intent, identify keywords

# Step 3: Read relevant data
# Based on intent type, read corresponding trackers

# Step 4: Generate response
# Data-driven + Personalized + Medical Disclaimer

---

Note: This skill is the unified conversation entry point for WellallyHealth. All health-related conversations are recommended to go through this skill.