— name: skin-health-analyzer description: Analyze skin-health data, identify skin-problem patterns, assess skin-health status. Supports correlation analysis with nutrition, chronic diseases, and medication data. risk: safe source: community — # Skin-health analysis skill ## Overview This skill provides comprehensive skin-health data analysis: trend identification, risk assessment, problem diagnosis, and personalized-advice generation. Special emphasis on mole monitoring and skin-cancer prevention. ## Medical disclaimer **Important:** the data analysis and advice are for reference only and do not constitute medical diagnosis or treatment advice. – All skin problems should be diagnosed and treated by a professional dermatologist. – Abnormal changes in a mole require immediate medical examination. – Skin cancer needs professional diagnosis; it cannot rely on self-assessment alone. – Analysis cannot replace a professional dermatology exam. – In emergencies, seek care immediately. – Follow your dermatologist's professional advice. ## Core features ### 1. Trend analysis **Skin-problem development trend:** identify the onset pattern of acne, eczema, etc.; analyze seasonality and periodicity; assess severity change; predict future flare risk. Output: problem-frequency curve, severity trend, trigger analysis, prevention advice. **Mole-change monitoring:** track location/count of new moles; monitor size change of existing moles; record ABCDE-feature change; identify high-risk moles. Output: mole distribution map, change-alert report, watch-list of concerning moles, medical advice. **Skincare-effect evaluation:** routine-frequency analysis, product-effect evaluation, skin-state improvement, adverse-reaction monitoring. Output: skincare-effect score, product recommendations, routine-optimization advice, cost-benefit analysis. **Sun-protection-effect analysis:** sunscreen-use statistics, sunburn frequency, photo-aging signs, habit-improvement advice. Output: protection-score trend, risk assessment, improvement advice, product recommendations. ### 2. Risk assessment **Skin-cancer risk** — based on: skin type (Fitzpatrick classification), sun-exposure history, mole count/features, sunburn history, family history, tanning-bed use. Levels: Low (dark skin, little sun, no mole abnormality) · Medium (light skin, moderate sun, some mole abnormality) · High (light skin, heavy sun, multiple abnormal moles, family history). Output: risk level, main risk factors, quantified score, risk-reduction strategy, screening advice. **Acne severity** — based on: acne type (blackheads, whiteheads, inflammatory papules, nodules, cysts), lesion count/distribution, inflammation degree, scarring risk. Grades: Mild (mostly black/whiteheads, few inflammatory lesions) · Moderate (more inflammatory lesions, possible mild scarring) · Severe (nodules and cysts, high scarring risk). Output: severity grade, trigger analysis, treatment-reference advice, skincare advice, medical advice. **Allergy-risk identification** — based on: known allergens, sensitivity history, product-use history, seasonal-allergy pattern, family allergy history. Output: allergen list, risk assessment, avoidance advice, alternative-product recommendations. **Photo-aging risk prediction** — based on: total sun exposure, protection habits, skin type, age, lifestyle. Output: photo-aging risk level, current signs, prevention advice, treatment-option reference. ### 3. Correlation analysis **With the nutrition module — nutrients and skin:** vitamin A (cell turnover, vision); vitamin C (collagen synthesis, antioxidant); vitamin E (antioxidant, protects cell membranes); omega-3 (anti-inflammatory); zinc (wound healing, oil control); water (skin hydration). Foods and skin problems: high-sugar foods (worsen acne); dairy (acne trigger in some); spicy food (worsens rosacea); alcohol (dehydration, flushing). Oral signs of deficiency: vitamin A (dry, keratotic skin); vitamin C (slow healing, easy bruising); B vitamins (dermatitis, angular cheilitis); iron (pallor, fragility); protein (lax skin, edema). Output: nutrition status, deficiency-risk, dietary adjustment, supplement advice (if needed). **With the chronic-disease module:** Diabetes & skin (diabetic dermopathy, delayed wound healing, increased fungal-infection risk, acanthosis nigricans, necrobiosis lipoidica). Autoimmune & skin (lupus: butterfly rash, photosensitivity; rheumatoid arthritis: rheumatoid nodules, vasculitis; psoriatic arthritis: psoriatic lesions; dermatomyositis: Gottron's sign, heliotrope rash). Thyroid & skin (hyperthyroid: moist skin, thinning hair, loose nails; hypothyroid: dry skin, coarse hair, edema). Liver & skin (jaundice; spider angiomas; palmar erythema; pruritus from cholestasis). Output: symptom-disease links, complication risk, joint-management advice, specialist referral. **With the medication module:** Drug eruptions (common allergens: antibiotics, antiepileptics, NSAIDs; rash types: morbilliform, urticaria, fixed drug eruption; severe: Stevens-Johnson syndrome). Photosensitizing drugs (tetracyclines, thiazide diuretics, NSAIDs, some antipsychotics). Drug-induced pigmentation (minocycline: blue-grey; amiodarone: blue-grey; some chemo drugs). Drug-induced dryness (retinoids, benzodiazepines, long-term antihistamines). Output: drug-risk identification, interaction analysis, alternative-drug advice (discuss with doctor), monitoring advice. **With the endocrine module:** Hormone changes & skin (puberty: androgen rise, acne; pregnancy: pigmentation, stretch marks, vascular changes; menopause: estrogen drop, dryness, wrinkles; menstrual cycle: cyclic acne). PCOS (acne, hirsutism, androgenic alopecia, acanthosis nigricans). Cushing's syndrome (moon face, buffalo hump, thinning skin, purple striae, acne, hirsutism). Output: hormone-skin analysis, cyclic-symptom identification, management advice, treatment-timing advice. ### 4. Personalized advice **Skincare-routine optimization by skin type:** dry (boost moisture, avoid over-cleansing); oily (oil control, cleanliness, water-oil balance); combination (zonal care, T-zone oil control, U-zone moisture); normal (maintain, basic care); sensitive (gentle products, avoid irritation). By main problem: acne (cleanse, oil control, anti-inflammatory, avoid comedogenic ingredients); pigmentation (sun protection, brightening, antioxidant); anti-aging (antioxidant, repair, sun protection); sensitivity (soothe, repair, barrier protection). Output: morning routine, evening routine, weekly care, product-selection guidance, budget range. **Lifestyle adjustment:** diet (low-glycemic for acne; anti-inflammatory for eczema/psoriasis; antioxidant foods for anti-aging; adequate water); sleep (7-9 hours, regular schedule, bedtime routine, pillow hygiene for acne); stress (identify stress-triggered problems, relaxation, regular exercise, hobbies); environment (indoor humidity for dry skin, avoid allergens, workplace protection). Output: lifestyle advice, goals, progress tracking, motivation. **Prevention:** Skin-cancer (daily SPF 30+, avoid tanning beds, regular skin checks, protect children, early detection of abnormal moles). Acne (proper cleansing, avoid touching face, clean phone/glasses, change pillowcases, non-comedogenic cosmetics). Eczema (keep moisturized, avoid triggers, gentle detergents, cotton clothing, control indoor temp/humidity). Photo-aging (year-round sun protection, antioxidant skincare, no smoking, adequate sleep, healthy diet). Output: targeted strategy, prioritization, steps, evaluation. **Product selection — ingredient knowledge:** acne (salicylic acid, benzoyl peroxide, retinoids); brightening (vitamin C, niacinamide, arbutin); anti-aging (retinol, peptides, hyaluronic acid); moisturizing (hyaluronic acid, glycerin, ceramides); soothing (aloe, centella, oats). Principles: choose by skin type; avoid known allergens; simpler is better than complex; fragrance-free is safer; patch-test small sizes. Reading labels: identify comedogenic ingredients, identify allergens, understand active-ingredient concentration, understand efficacy claims. Output: ingredient education, product-recommendation framework (not specific brands), avoid-ingredient list, patch-test advice. ### 5. Goal management Goal setting (negotiate realistic goals, break into steps, set time points, criteria; common goals: improve acne, build a routine, increase sun protection, reduce pigmentation, improve dryness, build a self-check habit). Progress tracking (periodic assessment, motivation, adjust goals, celebrate milestones, record progress). Obstacle identification (identify blockers, overcome strategies, adapt the plan, ongoing support, connect resources). ### 6. Statistical analysis **Composite health score** — from: problem control (30%), skincare habits (25%), sun protection (20%), regular checks (15%), goal attainment (10%). Range 0-100: Excellent 90-100 · Good 75-89 · Fair 60-74 · Poor <60. **Skin-health age** — from skin state, problems, protection habits; compared to actual age; with advice. **Problem statistics** — type distribution, frequency, duration, resolution rate, recurrence rate. **Skincare statistics** — routine adherence, product-use frequency, spend, replacement frequency, adverse-reaction statistics. ### 7. Alert system **Mole-change alerts:** abnormal increase in new moles; rapid enlargement; abnormal ABCDE features; color/shape change; symptoms (itch, bleeding). Levels: Yellow (observe, ask doctor at next visit) · Orange (see a doctor soon, within 1 week) · Red (seek care immediately). **Skin-problem alerts:** sudden acne worsening; new severe rash; drug-reaction signs; infection signs (redness, swelling, heat, pain); chronic-disease skin signs. **Skincare alerts:** product adverse reactions; improper routine; over-care signs; expired-product use; product interactions. **Check reminders:** monthly self-check; annual dermatology check; monthly mole monitoring; sunscreen reapplication. ## Use cases – **Case 1 — Periodic assessment:** "analyze the last 6 months of skin health" -> read records -> analyze problems/moles/skincare -> assess protection change -> compute score change -> identify trends -> composite report. – **Case 2 — Mole monitoring:** "a mole on my back has changed" -> retrieve mole history -> compare ABCDE -> assess risk -> check other moles -> analyze personal risk -> report (ABCDE result, change degree, risk level, medical advice [strong/advised/observe], monitoring frequency). – **Case 3 — Acne plan:** "improve acne, make a plan" -> assess severity -> analyze triggers -> assess skincare/diet -> identify areas -> set staged goals -> personalized plan. – **Case 4 — Sun-protection plan:** "my sun habits are poor" -> assess habits -> analyze exposure -> assess type/risk -> identify barriers -> achievable goals -> gradual plan. – **Case 5 — Multidisciplinary:** "I have diabetes; how does it affect my skin?" -> read diabetes data -> analyze glucose control -> assess skin-complication risk -> identify diabetic skin issues -> analyze link -> joint-management advice. – **Case 6 — Anti-aging:** "prevent skin aging, what to watch from now?" -> assess current state -> analyze lifestyle -> assess photo-aging risk -> identify modifiable factors -> prevention strategy -> monitoring indicators. ## Data-analysis methods **Quantitative:** descriptive stats (mean, median, std), trend analysis (linear regression, moving average), correlation (Pearson/Spearman), risk-score (multi-factor weighting), time-series. **Qualitative:** free-text analysis, symptom-pattern recognition, chief-complaint classification, satisfaction, image analysis (if available). **ABCDE scoring:** Asymmetry (0-2), Border irregularity (0-2), Color uniformity (0-2), Diameter (0-2), Evolving (0-2); total >=4: see a doctor. **Visualization:** time-series charts, body-region distribution, mole-location map, risk radar chart, progress dashboard, comparison bars. ## Quality assurance Data validation (completeness, consistency, outliers, missing data, cross-source). Result validation (medical-logic check, vs clinical guidelines, expert review, user feedback, algorithm updates). Continuous improvement (update algorithms, new evidence, UX, scope, accuracy). ## Reference resources **Clinical guidelines:** American Academy of Dermatology (AAD), European Academy of Dermatology and Venereology (EADV), Chinese Society of Dermatology clinical guidelines, Skin Cancer Foundation (SCF). **Assessment tools:** ABCDE rule (melanoma screening), Glasgow 7-point checklist (melanoma), acne-severity scoring, Eczema Area and Severity Index (EASI), Dermatology Life Quality Index (DLQI). **Data sources:** user records, nutrition module, chronic-disease module, medication module, endocrine module, environment data (UV index). ## Limitations **System:** cannot replace a professional dermatology exam; no dermoscopy; no pathology; results depend on data quality; no biopsy. **Data:** depends on record accuracy; missing records; subjective bias; insufficient time span; photo quality affects assessment. **Advice:** cannot account for every individual factor; cannot predict every complication; needs clinical judgment; not 100% accurate; product advice may vary by individual. ## Future extensions Planned: AI image recognition (moles and lesions), voice-record input, smart reminders, dermatologist-system integration, teledermatology support. Research: ML prediction models, personalized prevention, genetic-risk analysis, skin-microbiome analysis, environmental-factor analysis. — **Version**: v1.0.0 **Last updated**: 2025-01-06 **Maintainer**: WellAlly Tech ## When to Use Use this skill when tackling tasks related to its primary domain or functionality as described above. ## Limitations – Use this skill only when the task clearly matches the scope described above. – Do not treat the output as a substitute for environment-specific validation, testing, or expert review. – Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.