skin-health-analyzer - SKILL.md Agent Skill

name: skin-health-analyzer description: "Analyzes skin health data, identifies dermatological problem patterns, assesses skin health status, and provides personalized skincare recommendations. Supports correlation analysis with nutrition, chronic disease, and medication data. Use when the user wants to evaluate their skin health, track moles, or optimize their skincare routine." version: 1.0.0 user-invocable: true argument-hint: "[checkup-review | mole-monitor | acne-plan | sunscreen-plan | cross-module-analysis]" allowed-tools: Read, Grep, Glob, Write, Edit metadata: {"openclaw":{"emoji":"🧴","category":"health-analyzer"}}

Skin Health Analysis Skill

Skill Overview

This skill provides comprehensive skin health data analysis, including trend identification, risk assessment, problem diagnosis, and personalized recommendation generation. Special emphasis is placed on mole monitoring and skin cancer prevention.

Medical Disclaimer

WARNING: The data analysis and recommendations provided by this skill are for reference only and do not constitute medical diagnosis or treatment advice.

All skin issues should be diagnosed and treated by a professional dermatologist
Abnormal changes in moles must be examined by a physician immediately
Skin cancer requires professional diagnosis and cannot rely solely on self-assessment
Analysis results cannot replace professional dermatological examinations
Seek immediate medical attention for emergencies
Follow the professional advice of your dermatologist

Core Features

1. Trend Analysis

Skin Problem Development Trends

Identify occurrence patterns for acne, eczema, and other conditions
Analyze seasonal and cyclical patterns
Assess changes in problem severity
Predict future flare-up risk

Output:

Problem occurrence frequency curve
Severity change trends
Trigger factor analysis
Prevention recommendations

Mole Change Monitoring

Track new mole locations and counts
Monitor size changes in existing moles
Record ABCDE feature changes
Identify high-risk moles

Output:

Mole distribution map
Change alert report
List of moles requiring attention
Medical visit recommendations

Skincare Effectiveness Evaluation

Skincare routine frequency analysis
Product effectiveness evaluation
Skin condition improvement tracking
Adverse reaction monitoring

Output:

Skincare effectiveness score
Product recommendations
Routine optimization suggestions
Cost-benefit analysis

Sun Protection Effectiveness Analysis

Sunscreen usage statistics
Sunburn occurrence frequency
Photoaging sign assessment
Sun protection habit improvement suggestions

Output:

Protection score trends
Risk assessment
Improvement recommendations
Product recommendations

2. Risk Assessment

Skin Cancer Risk Assessment

Comprehensive assessment based on the following factors:

Skin type (Fitzpatrick classification)
Sun exposure history
Mole count and characteristics
Sunburn history
Family history
Tanning bed use history

Risk Levels:

Low Risk: Dark skin, minimal sun exposure, no abnormal moles
Medium Risk: Light skin, moderate sun exposure, abnormal moles present
High Risk: Light skin, extensive sun exposure, multiple abnormal moles, family history

Output:

Risk level (Low/Medium/High)
Main risk factors
Quantitative risk score
Risk reduction strategies
Screening recommendations

Acne Severity Assessment

Comprehensive assessment based on the following factors:

Acne types (blackheads, whiteheads, inflammatory papules, nodules, cysts)
Lesion count and distribution
Degree of inflammation
Scarring risk

Severity Classification:

Mild: Primarily blackheads and whiteheads, few inflammatory lesions
Moderate: More inflammatory lesions, possible mild scarring
Severe: Nodules and cysts, high scarring risk

Output:

Severity classification
Main trigger analysis
Treatment reference recommendations
Skincare recommendations
Medical visit recommendations

Allergy Risk Identification

Comprehensive assessment based on the following factors:

Known allergens
Skin sensitivity history
Product use history
Seasonal allergy patterns
Family allergy history

Output:

Allergen list
Risk assessment
Avoidance recommendations
Alternative product suggestions

Photoaging Risk Prediction

Comprehensive assessment based on the following factors:

Total sun exposure
Protection habits
Skin type
Age
Lifestyle

Output:

Photoaging risk level
Current photoaging signs
Prevention recommendations
Treatment options reference

3. Correlation Analysis

Correlation with Nutrition Module

Nutrient Impact on Skin Health:

Vitamin A: Skin cell renewal, vision
Vitamin C: Collagen synthesis, antioxidant
Vitamin E: Antioxidant, cell membrane protection
Omega-3 fatty acids: Anti-inflammatory effect
Zinc: Wound healing, oil control
Water: Skin hydration

Food Impact on Skin Problems:

High-sugar foods: Acne aggravation
Dairy products: Acne trigger factor in some populations
Spicy foods: Rosacea aggravation
Alcohol: Skin dehydration, flushing

Skin Manifestations of Nutritional Deficiencies:

Vitamin A deficiency: Dry skin, keratinization
Vitamin C deficiency: Slow wound healing, easy bruising
Vitamin B deficiency: Dermatitis, angular cheilitis
Iron deficiency: Pallor, fragility
Protein deficiency: Skin laxity, edema

Output:

Nutritional status assessment
Deficiency risk identification
Dietary adjustment recommendations
Supplement recommendations (if needed)

Correlation with Chronic Disease Module

Diabetes and Skin:

Diabetic skin conditions (diabetic dermopathy)
Delayed wound healing
Increased fungal infection risk
Acanthosis nigricans
Necrobiosis lipoidica

Autoimmune Diseases and Skin:

Lupus: Butterfly rash, photosensitivity
Rheumatoid arthritis: Rheumatoid nodules, vasculitis
Psoriatic arthritis: Psoriatic skin lesions
Dermatomyositis: Gottron papules, heliotrope rash

Thyroid Disease and Skin:

Hyperthyroidism: Moist skin, hair thinning, nail loosening
Hypothyroidism: Dry skin, coarse hair, edema

Liver Disease and Skin:

Jaundice: Skin and scleral yellowing
Spider angiomas: Vascular spider-like lesions
Palmar erythema: Palm redness
Pruritus: Cholestasis

Output:

Skin symptom and disease correlation analysis
Complication risk assessment
Comprehensive management recommendations
Specialist referral recommendations

Correlation with Medication Module

Drug Rash (Drug Allergy):

Common sensitizing drugs: Antibiotics, antiepileptics, NSAIDs
Rash types: Morbilliform, urticarial, fixed drug eruption
Severe reactions: Stevens-Johnson Syndrome

Photosensitizing Drugs:

Tetracycline antibiotics
Thiazide diuretics
NSAIDs
Certain antipsychotics

Drug-Induced Pigmentation:

Minocycline: Blue-gray pigmentation
Amiodarone: Blue-gray pigmentation
Certain chemotherapy drugs

Drug-Induced Skin Dryness:

Retinoids
Benzodiazepines
Antihistamines (long-term use)

Output:

Drug risk identification
Interaction analysis
Alternative drug recommendations (discuss with physician)
Monitoring recommendations

Correlation with Endocrine Module

Hormonal Changes and Skin Impact:

Puberty: Androgen increase, acne
Pregnancy: Pigmentation, stretch marks, skin vascular changes
Menopause: Estrogen decline, dry skin, wrinkles
Menstrual cycle: Cyclic acne aggravation

Polycystic Ovary Syndrome (PCOS):

Acne
Hirsutism
Androgenetic alopecia
Acanthosis nigricans

Cushing's Syndrome:

Moon face, buffalo hump
Skin thinning, purple striae
Acne, hirsutism

Output:

Hormonal impact on skin analysis
Cyclic symptom identification
Management recommendations
Treatment timing recommendations

4. Personalized Recommendations

Skincare Routine Optimization

Customized by Skin Type:

Dry skin: Enhance moisturizing, avoid over-cleansing
Oily skin: Oil control, maintain cleanliness, oil-water balance
Combination skin: Zone-specific care, T-zone oil control, U-zone moisturizing
Normal skin: Maintain status, basic care
Sensitive skin: Gentle products, avoid irritants

Customized by Main Concern:

Acne: Cleansing, oil control, anti-inflammatory, avoid comedogenic ingredients
Hyperpigmentation: Sun protection, brightening ingredients, antioxidants
Anti-aging: Antioxidants, repair, sun protection
Sensitivity: Soothing, repair, barrier protection

Output:

Morning skincare routine recommendations
Evening skincare routine recommendations
Weekly treatment recommendations
Product selection guidance
Budget range suggestions

Lifestyle Adjustments

Dietary Adjustments:

Low glycemic index diet (acne)
Anti-inflammatory diet (eczema, psoriasis)
Antioxidant-rich foods (anti-aging)
Adequate water intake

Sleep Management:

Ensure 7-9 hours of sleep
Regular sleep schedule
Pre-bedtime skincare routine
Pillow cleanliness (acne)

Stress Management:

Identify stress-triggered skin problems
Learn relaxation techniques
Regular exercise
Engage in hobbies

Environmental Adjustments:

Indoor humidity control (dry skin)
Allergen avoidance (allergic skin)
Workplace protection (occupational skin problems)

Output:

Personalized lifestyle recommendations
Goal setting
Progress tracking methods
Motivation mechanisms

Prevention Recommendations

Skin Cancer Prevention:

Daily sunscreen (SPF 30+)
Avoid tanning beds
Regular skin examinations
Protect children from sun exposure
Early detection of abnormal moles

Acne Prevention:

Proper skin cleansing
Avoid touching the face
Clean phone and glasses
Pillowcase change frequency
Non-comedogenic cosmetics

Eczema Prevention:

Keep skin moisturized
Avoid known triggers
Use gentle detergents
Wear cotton clothing
Control indoor temperature and humidity

Photoaging Prevention:

Year-round sun protection
Antioxidant skincare products
No smoking
Adequate sleep
Healthy diet

Output:

Targeted prevention strategies
Priority ranking
Implementation steps
Effectiveness evaluation methods

Product Selection Guidance

Ingredient Knowledge:

Acne treatment: Salicylic acid, benzoyl peroxide, retinoids
Brightening: Vitamin C, niacinamide, arbutin
Anti-aging: Retinol, peptides, hyaluronic acid
Moisturizing: Hyaluronic acid, glycerin, ceramides
Soothing: Aloe vera, centella asiatica, oat

Product Selection Principles:

Choose based on skin type
Avoid known allergens
Simple formulations over complex ones
Fragrance-free formulas are safer
Try small sizes first

Reading Product Labels:

Identify comedogenic ingredients
Identify allergens
Understand active ingredient concentrations
Understand product efficacy claims

Output:

Ingredient education
Product recommendation framework (not specific brands)
Ingredients-to-avoid list
Product trial recommendations

5. Goal Management

Goal Setting

Collaborate with users to set realistic goals
Break down into achievable steps
Set milestones
Establish evaluation criteria

Common Goal Types:

Improve acne condition
Establish regular skincare habits
Increase sunscreen usage frequency
Reduce hyperpigmentation
Improve skin dryness
Establish regular self-examination habits

Progress Tracking

Regularly evaluate goal achievement
Provide motivation and feedback
Adjust goals (if needed)
Celebrate milestone achievements
Document improvement process

Barrier Identification

Identify factors hindering goal achievement
Provide strategies to overcome barriers
Adjust plans to fit real-world situations
Provide ongoing support
Connect to resources and support networks

6. Statistical Analysis

Comprehensive Health Score

Calculated based on the following factors:

Skin problem control status (30%)
Skincare habits (25%)
Sun protection (20%)
Regular checkups (15%)
Goal achievement (10%)

Score Range: 0-100 points

Excellent: 90-100 points
Good: 75-89 points
Fair: 60-74 points
Poor: <60 points

Skin Health Age

Calculated based on skin condition, problem status, and protection habits
Compared with actual age
Improvement recommendations provided

Problem Statistics

Problem type distribution
Problem occurrence frequency
Problem duration
Resolution rate statistics
Recurrence rate analysis

Skincare Statistics

Skincare routine adherence rate
Product usage frequency
Skincare expenditure statistics
Product turnover frequency
Adverse reaction statistics

7. Alert System

Mole Change Alerts

Abnormal increase in new mole count
Rapid growth of existing moles
ABCDE feature abnormalities
Color or morphology changes
Symptom onset (itching, bleeding)

Alert Levels:

Yellow Alert: Needs observation; consult physician at next checkup
Orange Alert: Needs prompt medical attention (within 1 week)
Red Alert: Needs immediate medical attention

Skin Problem Alerts

Sudden acne worsening
New onset severe rash
Signs of drug reaction
Signs of infection (redness, swelling, heat, pain)
Skin manifestations of chronic disease

Skincare Alerts

Product adverse reactions
Improper skincare routine
Signs of over-treatment
Use of expired products
Product interactions

Examination Reminders

Regular skin self-examination reminders (monthly)
Dermatology checkup reminders (annually)
Mole monitoring reminders (monthly)
Sunscreen reapplication reminders

Usage Scenarios

Scenario 1: Routine Health Assessment

User Request: Analyze my skin health over the past 6 months

Analysis Workflow:

Read all skin health records from the past 6 months
Analyze problem records, mole monitoring, and skincare records
Assess changes in protection habits
Calculate health score changes
Identify improvement or deterioration trends
Generate comprehensive assessment report

Output:

Health score change trends
Key improvements
Issues requiring attention
Next steps and recommendations

Scenario 2: Mole Monitoring Assessment

User Request: I noticed a mole on my back has changed; please evaluate it

Analysis Workflow:

Retrieve historical records for the mole
Compare ABCDE feature changes
Assess risk level
Check for other abnormal moles
Analyze personal risk factors
Generate assessment report

Output:

ABCDE assessment results
Degree of change analysis
Risk level
Medical visit recommendation (Strongly Recommended/Recommended/Monitor)
Monitoring frequency recommendations

Scenario 3: Acne Management Plan

User Request: I want to improve my acne; create a management plan

Analysis Workflow:

Assess current acne severity
Analyze main trigger factors
Evaluate current skincare and dietary habits
Identify areas for improvement
Set phased goals
Develop personalized plan

Output:

Current severity assessment
Main trigger analysis
Skincare routine recommendations
Dietary and lifestyle recommendations
Goals and timeline
When to seek medical advice

Scenario 4: Sun Protection Improvement Plan

User Request: My sunscreen habits are poor; help me create an improvement plan

Analysis Workflow:

Assess current sun protection habits
Analyze sun exposure patterns
Evaluate skin type and risk
Identify main barriers
Set achievable goals
Develop a gradual improvement plan

Output:

Current sun protection score
Risk assessment
Improvement goals
Product selection recommendations
Habit-building strategies
Progress tracking methods

Scenario 5: Multidisciplinary Joint Analysis

User Request: I have diabetes; how does it affect my skin?

Analysis Workflow:

Read diabetes management data
Analyze blood sugar control status
Assess skin complication risk
Identify potential diabetic skin problems
Analyze correlation between the two
Generate joint management recommendations

Output:

Impact of diabetes on skin
Common diabetic skin problems
Complication risk assessment
Joint management strategies
Monitoring indicator recommendations
When to seek medical attention

Scenario 6: Anti-Aging Planning

User Request: I want to prevent skin aging; what should I start doing now?

Analysis Workflow:

Assess current skin condition
Analyze lifestyle and habits
Evaluate photoaging risk
Identify modifiable risk factors
Develop prevention strategies
Establish monitoring metrics

Output:

Current skin age assessment
Main aging risk factors
Prevention strategies (sun protection, skincare, lifestyle)
Skincare routine recommendations
Periodic evaluation recommendations
Cost-benefit analysis

Data Analysis Methods

Quantitative Analysis

Descriptive statistics (mean, median, standard deviation)
Trend analysis (linear regression, moving average)
Correlation analysis (Pearson/Spearman correlation)
Risk score calculation (multi-factor weighting)
Time series analysis

Qualitative Analysis

Text description analysis
Symptom pattern recognition
Chief complaint classification
Satisfaction evaluation
Photo analysis (if available)

ABCDE Assessment Algorithm

Asymmetry score (0-2 points)
Border regularity score (0-2 points)
Color uniformity score (0-2 points)
Diameter score (0-2 points)
Evolution score (0-2 points)
Total score >=4: Recommend medical visit

Visualization Output

Time series charts
Body region distribution maps
Mole location maps
Risk assessment radar charts
Progress tracking dashboards
Comparative analysis bar charts

Quality Assurance

Data Validation

Check data completeness
Verify data consistency
Identify outliers
Handle missing data
Cross-validate data from different sources

Result Validation

Medical logic checks
Cross-reference with clinical guidelines
Expert review (if available)
User feedback collection
Regular algorithm updates

Continuous Improvement

Regularly update analysis algorithms
Incorporate new scientific evidence
Optimize user experience
Expand feature scope
Improve accuracy

References

Clinical Guidelines

American Academy of Dermatology (AAD) Guidelines
European Academy of Dermatology and Venereology (EADV) Guidelines
Chinese Dermatology Society Clinical Guidelines
Skin Cancer Foundation (SCF) Guidelines

Assessment Tools

ABCDE Rule (Melanoma Screening)
Glasgow 7-Point Checklist (Melanoma Assessment)
Acne Severity Scoring System
Eczema Area and Severity Index (EASI)
Dermatology Life Quality Index (DLQI)

Data Sources

User-recorded data
Nutrition module data
Chronic disease module data
Medication module data
Endocrine module data
Environmental data (UV index)

Limitations

System Limitations

Cannot replace professional dermatological examinations
Cannot perform dermoscopy
Cannot perform pathological examinations
Analysis results are affected by data quality
Cannot perform biopsies

Data Limitations

Depends on user recording accuracy
Records may be incomplete
Subjective assessments may be biased
Time span may be insufficient
Photo quality affects assessment

Recommendation Limitations

Cannot account for all individual factors
Cannot predict all complications
Must be combined with clinical judgment
Cannot guarantee 100% accuracy
Product recommendations may vary by individual

Future Extensions

Planned Features

AI image recognition (mole and skin lesion analysis)
Voice record entry
Smart reminder system
Integration with dermatology practice systems
Teledermatology support

Research Directions

Machine learning prediction models
Personalized prevention strategies
Genetic risk analysis
Skin microbiome analysis
Environmental factor impact analysis