| 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
