menopause

name	menopause
description	Track menopause symptoms, HRT treatment, bone density, and health risk assessment

Menopause Management Skill

Perimenopausal symptom tracking and management, providing menopause health assessment and management recommendations.

Core Flow

User Input → Parse Operation Type → Execute Operation → Generate/Update Data → Save → Output Result

Supported Operations

Operation	Description	Example
start	Start menopause tracking	/menopause start 48 2025-11-15
symptom	Log symptoms	/menopause symptom hot flashes 5-10 times daily moderate
hrt	Log HRT treatment	/menopause hrt start estradiol 1mg
bone	Log bone density	/menopause bone -1.5 osteopenia
status	View status	/menopause status
risk	Risk assessment	/menopause risk

Step 1: Parse User Input

Operation Type Recognition

Input Keywords	Operation
start	start
symptom	symptom
HRT, hrt	hrt
bone	bone
status	status
risk	risk

Menopause Stage Recognition

months_since_lmp = (today - lmp_date) / 30.44

if (months_since_lmp < 12) {
  stage = "perimenopausal"  // Perimenopause
} else if (months_since_lmp >= 12 && months_since_lmp < 36) {
  stage = "menopausal"  // Menopause
} else {
  stage = "postmenopausal"  // Postmenopause
}

Symptom Type Recognition

Keywords	Symptom Type	English
hot flashes	hot_flashes	hot flashes
night sweats	night_sweats	night sweats
sleep issues	sleep_issues	sleep issues
mood changes	mood_changes	mood changes
vaginal dryness	vaginal_dryness	vaginal dryness
joint pain	joint_pain	joint pain

Severity Recognition

Keywords	Level	Score
mild	1	1
moderate	2	2
severe	3	3

Frequency Recognition

Input	Standardized
5-10 times per day	5-10_per_day
3-4 times per night	3-4_per_night
often	often
occasional	occasional

T-Score Recognition

User Input	T-Score
-1.5	-1.5
负1点五	-1.5
minus 1.5	-1.5

Bone Density Diagnosis Recognition

Keywords	Diagnosis	T-Score Range
normal	normal	T >= -1.0
osteopenia	osteopenia	-2.5 < T < -1.0
osteoporosis	osteoporosis	T <= -2.5

Step 2: Check Information Completeness

start Operation Required:

• age: Age (40-65)
• last_menstrual_period: Last menstrual period date

start Operation Validation:

• Age should be 40-65
• LMP cannot be future date
• LMP should be within past 12 months

symptom Operation Required:

• Symptom type
• Frequency or severity

bone Operation Required:

• t_score: T-score

hrt Operation Recommended:

• action: start/stop/effectiveness
• Medication information (when starting)

Step 3: Interactive Prompts (If Needed)

Scenario A: Missing Age

Please provide your age:
(Age should be 40-65)

Scenario B: Missing LMP Date

Please provide your last menstrual period date:
(Format: YYYY-MM-DD)

Scenario C: Unclear Symptom Frequency

What is the symptom frequency?
• X times per day
• X times per night
• Often
• Occasional

Scenario D: Missing T-Score

Please provide bone density test T-score:
(e.g., -1.5)

Step 4: Generate JSON

Menopause Data Structure

{
  "menopause_id": "menopause_20250101",
  "stage": "perimenopausal",
  "age": 48,
  "last_menstrual_period": "2025-11-15",
  "months_since_lmp": 0,

  "symptoms": {
    "hot_flashes": {
      "present": false,
      "frequency": null,
      "severity": null,
      "impact_on_life": null,
      "triggers": [],
      "last_updated": null
    },
    "night_sweats" 
       
       
       
    
     
       
       
       
    
     
       
       
    
     
       
       
    
     
       
       
       
    
  

   

   
     
     
     
     
     
     
     
     
     
     
     
     
  

   
     
     
     
     
     
     
     
     
     
     
     
     
  

   
     
     
     
     
     
     
     
     
     
     
  

   
     
     
     
     
  

   
     
     
  

Complete schema definition: see schema.json.

Step 5: Save Data

1. Read data/menopause-tracker.json
2. Update corresponding data
3. Write back to file
4. If detailed records exist, save to data/menopause-records/YYYY-MM/YYYY-MM-DD_symptom-record.json

Execution Instructions

1. Parse user input and determine operation type
2. Execute corresponding logic based on operation type
3. Validate input data and state
4. Generate JSON compliant with schema.json
5. Save to data/menopause-tracker.json
6. Output operation result and summary to user

Example Interactions

Example 1: Start Menopause Tracking

User: /menopause start 48 2025-11-15

System:
Menopause tracking created

Basic Information:
Age: 48
Last menstrual period: November 15, 2025
Menopause stage: Perimenopause

Stage Description:
Perimenopause is the period from when ovarian function begins to decline until one year after menopause, typically lasting 4-10 years.

Common Symptoms:
• Irregular menstrual cycles
• Hot flashes and night sweats
• Mood swings
• Sleep disturbances
• Vaginal dryness

Recommended Checkups:
• Bone density test (recommended every 1-2 years)
• Cardiovascular risk assessment (blood pressure, lipids)
• Gynecological exam (annually)
• Breast exam (annually)

Lifestyle Recommendations:
• Regular exercise (3-5 times per week)
• Balanced diet (rich in calcium and vitamin D)
• Maintain healthy weight (BMI 18.5-24.9)
• Quit smoking and limit alcohol
• Stress management
• Adequate sleep

Data saved to: data/menopause-tracker.json

Example 2: Log Hot Flash Symptoms

User: /menopause symptom hot flashes 5-10 times daily moderate

System:
Symptom recorded

Symptom Information:
Type: Hot flashes
Frequency: 5-10 times daily
Severity: Moderate

Current menopause stage: Perimenopause

Symptom Score:
Hot flash score: 14/12 (severe)

Overall symptom burden: 65/100 (moderate)

Assessment:
Moderate symptom burden affecting quality of life.

Recommendations:
• Lifestyle adjustments
• Regular exercise, stress reduction
• If symptoms significantly affect life, consider medical evaluation for HRT

Management Tips:
• Identify and avoid triggers (hot drinks, hot environments, stress)
• Wear layered clothing for easy adjustment
• Keep room temperature cool (18-22°C)
• Use cooling pillows
• Regular exercise (yoga, tai chi)

Data synced to symptom records

Example 3: Log Bone Density

User: /menopause bone -1.5 osteopenia

System:
Bone density record updated

Bone Density Test Information:
Test date: June 15, 2025
T-score: -1.5
Z-score: -1.2
Diagnosis: Osteopenia

Fracture Risk Assessment:
Current risk: Low

Bone Density Changes:
2023: T-score -1.3 (normal)
2025: T-score -1.5 (osteopenia)
Change: Slight decline

Management Recommendations:
• Calcium: 1200-1500mg daily
• Vitamin D: 800-1000IU daily
• Weight-bearing exercise: 3-4 times weekly
• Strength training: 2-3 times weekly
• Quit smoking and limit alcohol

Follow-up Recommendation:
Next test: June 15, 2026 (1 year later)

For more examples, see examples.md.