skin-health-analyzer

Analyzes skin health records to identify problem patterns, assess risks, and generate care recommendations.

937|121|Updated Dec 31, 2025
One-click install
npx skills add https://github.com/huifer/WellAlly-health --skill skin-health-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skin-health-analyzer
Source: https://github.com/huifer/WellAlly-health/tree/main/.claude/skills/skin-health-analyzer
Command: npx skills add https://github.com/huifer/WellAlly-health --skill skin-health-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scattered skin health records make it hard to spot trends in acne, eczema, mole changes, and sun protection habits, leaving risks like skin cancer warning signs unnoticed until too late.

Core Features & Use Cases

  • Trend & Risk Analysis: Tracks skin problem patterns, monitors mole changes with the ABCDE method, and assesses skin cancer, acne severity, allergy, and photoaging risks.
  • Cross-Domain Correlation: Links skin data with nutrition, chronic disease, medication, and endocrine records to reveal underlying causes.
  • Personalized Recommendations: Generates skincare routines, lifestyle adjustments, prevention strategies, and a tiered alert system for urgent warning signs.
  • Use Case: A user notices a mole on their back has changed; the skill compares its ABCDE features against historical records, assigns a risk level, and advises whether to seek immediate dermatological care.

Quick Start

Analyze my skin health records from the past six months and flag any mole changes or risk factors I should discuss with a dermatologist.

Frequently Asked Questions about skin-health-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor mole changes for skin cancer risk?

The skill tracks mole location, size, and ABCDE features (asymmetry, border, color, diameter, evolution) across your records. It scores each feature and recommends medical consultation when the total score reaches 4 or higher, with tiered yellow, orange, and red alerts.

How to assess acne severity from personal health records?

Acne severity is graded by lesion type (blackheads, inflammatory papules, nodules, cysts), count, distribution, and scarring risk into mild, moderate, or severe levels. The output includes trigger analysis, skincare suggestions, and guidance on when to see a doctor.

Can skin analysis be linked with diabetes or medication data?

Yes, the skill correlates skin records with chronic disease, medication, nutrition, and endocrine modules. It identifies links such as diabetic skin complications, drug-induced rashes or photosensitivity, and hormone-related acne patterns.

Does this skin analysis replace a dermatologist visit?

No, the analysis is for personal reference only and explicitly does not constitute medical diagnosis. It cannot perform dermoscopy or biopsy, and all abnormal mole changes or serious symptoms require professional dermatological examination.

What are the limitations of automated skin health analysis?

Results depend on the accuracy and completeness of user-recorded data, and subjective self-assessment can introduce bias. The system cannot account for all individual factors and cannot guarantee prediction of all complications.