Analyze Skin Health Data and Provide Insights

This skill provides comprehensive skin health data analysis with particular emphasis on mole monitoring and skin cancer prevention. Trend analysis covers skin-issue development patterns (acne, eczema occurrence frequency, seasonality, severity trajectory), mole change monitoring (new mole tracking, size changes, ABCDE feature changes, high-risk mole identification with a distribution map and warning report), skincare routine effectiveness, and sun-protection habit tracking. Risk assessment covers skin cancer risk (weighted by Fitzpatrick skin type, sun exposure history, mole count/features, sunburn history, family history, tanning-bed use, classified low/medium/high), acne severity grading (mild/moderate/severe by lesion type and scarring risk), allergy risk identification, and photoaging risk prediction. Cross-module correlation analysis links skin findings to nutrition (vitamin A/C/E, omega-3, zinc, and their deficiency skin signs; high-sugar/dairy/spicy food and alcohol effects on acne/rosacea), chronic disease (diabetic dermopathy, delayed wound healing, autoimmune skin signs like lupus malar rash or psoriatic lesions, thyroid disease skin signs, liver disease signs like jaundice and spider angiomas), medication (drug eruptions, photosensitizing drugs like tetracyclines and thiazides, drug-induced pigmentation from minocycline/amiodarone, drug-induced dryness), and endocrine changes (puberty/pregnancy/menopause/menstrual-cycle hormonal skin effects, PCOS signs, Cushing's syndrome signs). Personalized recommendations cover skincare routine optimization by skin type and primary concern, lifestyle adjustments (diet, sleep, stress, environment), prevention strategies (daily SPF 30+, avoiding tanning beds, regular skin self-checks for cancer prevention; specific acne, eczema, and photoaging prevention steps), and ingredient-education-based product selection (salicylic acid/benzoyl peroxide/retinoids for acne, vitamin C/niacinamide for brightening, hyaluronic acid/ceramides for hydration) without recommending specific brands. It computes a composite health score (0-100) weighted across issue control (30%), skincare habits (25%), sun protection (20%), regular checkups (15%), and goal achievement (10%), plus a "skin health age" comparison to chronological age. The core ABCDE mole-assessment algorithm scores Asymmetry, Border irregularity, Color unevenness, Diameter, and Evolution/change (0-2 points each); a total score of 4+ triggers a recommendation to see a doctor. A tiered alert system flags mole changes (yellow = observe and mention at next checkup, orange = see a doctor within a week, red = seek immediate care), sudden skin-condition worsening, product adverse reactions, and periodic self-check/screening reminders. Every output carries a prominent medical disclaimer: analysis is for reference only, does not constitute diagnosis, mole changes require immediate professional evaluation, and skin cancer cannot be assessed by self-evaluation alone.

Use it for periodic skin health assessment, mole change evaluation, acne management planning, sun-protection improvement planning, or cross-module analysis linking skin findings to chronic disease, medication, or hormonal status. It cannot replace professional dermatological examination, dermoscopy, or biopsy, and its output quality depends on user-logged data accuracy and photo quality - it explicitly states it cannot guarantee 100% accuracy and mole-related findings always require professional evaluation, not self-assessment alone.

Inputs: logged skin-issue records, mole tracking data (location, size, ABCDE features over time), skincare routine and product logs, sun-exposure and protection habits, and linked nutrition/chronic-disease/medication/endocrine data.
Outputs: trend charts for skin issues and mole changes, an ABCDE-based mole risk assessment, a skin cancer/acne/allergy/photoaging risk score, cross-module correlation findings, a composite skin health score and skin-health-age estimate, and personalized skincare/lifestyle/prevention recommendations with alert-tier guidance.

Users of a personal health-tracking app (and their care teams) who want structured, trend-aware skin health analysis - always clearly framed as reference information requiring professional dermatological follow-up for any concerning mole or skin finding.