gemini-skin-analysis

Analyze facial images with Gemini Vision API to generate structured skin analytics.

1|Updated Jan 1, 2026

Search Tags:#iOS #analyze #image-processing #structured-data #Gemini Vision API #health-insights #skin-analysis

Ready to run

npx skills add https://github.com/raydocs/SkinLab --skill gemini-skin-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gemini-skin-analysis
Source: https://github.com/raydocs/SkinLab/tree/main/.factory/skills/gemini-skin-analysis
Command: npx skills add https://github.com/raydocs/SkinLab --skill gemini-skin-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables automated skin analysis by calling Gemini Vision API on user facial photos to generate structured, multi-dimensional skin health data.

Core Features & Use Cases

Skin-type & aging assessment: detect skin type, apparent age, and overall skin health score.
Multi-dimension insights: evaluate spots, acne, pores, wrinkles, redness, evenness, and texture.
Use Case: integrate into a skincare app to deliver personalized routines and product recommendations based on analyzed images.
Real-world scenario: a user uploads a selfie and receives a structured report that powers recommendations.

Quick Start

Run the Gemini skin analysis flow on a captured photo and parse results to update the user's profile.

Frequently Asked Questions about gemini-skin-analysis

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

FAQPage Schema

How do I generate structured skin analytics from an iOS facial photo?▼

To analyze facial images for skin health, this Skill sends user photos to the Gemini Vision API and generates structured analytics covering skin type, apparent age, spots, acne, pores, wrinkles, and texture. It provides the JSON request and response pipeline needed for iOS photo workflows.

Can I use the Gemini 2.0 Flash Vision API to assess skin type and apparent age?▼

Yes, the Skill uses the Gemini 2.0 Flash Vision API to assess skin type, apparent age, and overall skin health. It processes facial images to detect spots, acne, pores, wrinkles, redness, evenness, and texture, returning the results as structured data.

How do I build an automated skin analysis pipeline for a skincare app?▼

You build an automated skin analysis pipeline by passing user facial photos through the Gemini Vision API JSON request and response flow. This Skill outputs structured multi-dimensional skin health data that you can integrate into a skincare app to deliver personalized product recommendations.

Does this skin analysis approach require specific API endpoint and retry handling?▼

Yes, automated skin analysis requires configuring a base URL and endpoint for the Gemini Vision API, along with basic retry and timeout handling. This Skill includes the necessary pipeline structure to manage JSON requests and ensure stable image processing for real-time skin health assessment.

What structured data dimensions are evaluated during facial image processing?▼

Facial image processing evaluates multi-dimension insights including spots, acne, pores, wrinkles, redness, evenness, and texture. The Gemini Vision API generates a structured skin health score alongside these specific analytics to help power personalized skincare recommendations.

Why use Gemini Vision API for real-time skin health assessment over other image processing tools?▼

Using the Gemini Vision API for real-time skin health assessment provides advanced multi-dimensional facial analysis directly yielding structured data. Unlike basic image processing, it specifically evaluates complex dermatological features like aging and texture to generate actionable health insights for skincare workflows.