name: menopause description: Track menopause symptoms, HRT treatment, bone density, and health risk assessment argument-hint: <operation_type+description, e.g.: start 48 2025-11-15, symptom hot flashes 5-10 times daily, bone -1.5> allowed-tools: Read, Write schema: menopause/schema.json
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": {
"present": false,
"frequency": null,
"severity": null
},
"sleep_issues": {
"present": false,
"type": null,
"sleep_quality": null
},
"mood_changes": {
"present": false,
"symptoms": []
},
"vaginal_dryness": {
"present": false,
"severity": null
},
"joint_pain": {
"present": false,
"severity": null,
"locations": []
}
},
"symptom_history": [],
"hrt": {
"on_treatment": false,
"considering": false,
"medication": null,
"type": null,
"dose": null,
"route": null,
"start_date": null,
"duration": null,
"effectiveness": null,
"effectiveness_rating": null,
"side_effects": [],
"notes": ""
},
"bone_density": {
"last_check": null,
"t_score": null,
"z_score": null,
"diagnosis": null,
"diagnosis_category": null,
"fracture_risk": null,
"fracture_risk_level": null,
"next_check_due": null,
"calcium_intake": {},
"vitamin_d": {},
"weight_bearing_exercise": null,
"fall_risk_factors": []
},
"cardiovascular_risk": {
"last_assessment": null,
"blood_pressure": null,
"systolic": null,
"diastolic": null,
"bp_classification": null,
"lipids": {},
"blood_sugar": {},
"risk_level": null,
"risk_factors": [],
"modifiable_factors": []
},
"lifestyle": {
"exercise": {},
"diet": {},
"stress_management": [],
"sleep_habits": null
},
"metadata": {
"created_at": "2025-01-01T00:00:00.000Z",
"last_updated": "2025-01-01T00:00:00.000Z"
}
}
Complete schema definition: see schema.json.
Step 5: Save Data
- Read
data/menopause-tracker.json - Update corresponding data
- Write back to file
- 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.
Task Prioritizer
Productivity
Prioritizes your tasks using Eisenhower, ICE, and RICE frameworks.
Weekly Status Report Generator
Productivity
Generate structured and concise weekly status reports.
Daily Standup Report
Productivity
Generates structured and concise daily standup reports.