effect-tracking

Automate 28-day skin-tracking analysis and generate shareable improvement reports.

1|Updated Jan 1, 2026

Search Tags:#tracking #swiftdata #report-generation #ai-analysis #28-day #skin-analysis

Ready to run

npx skills add https://github.com/raydocs/SkinLab --skill effect-tracking

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables users to track their skincare journey over a 28-day cycle, automatically analyzing changes with AI and generating a shareable improvement report.

Core Features & Use Cases

28-day tracking workflow: Capture Day 0 baseline, then Day 7, Day 14, Day 21, and Day 28, with AI-driven comparisons and summaries.
Photo guidance and analysis: Provides structured photo capture guidance and automated analysis to quantify changes.
Report generation & sharing: Produces a comprehensive report detailing improvements and suggested next steps that can be shared with others.

Quick Start

Start a new 28-day tracking session, capture the Day 0 photo, then continue capturing on Days 7, 14, 21, and 28 to generate a final report.

Frequently Asked Questions about effect-tracking

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

FAQPage Schema

How do I track 28-day skin changes and generate a report?▼

Track 28-day skin changes by capturing baseline photos on Day 0, checking in on Days 7, 14, 21, and 28, and letting AI analyze the photos to generate a shareable improvement report.

What's the best way to automate skin analysis photo comparisons?▼

Automate skin analysis photo comparisons by starting a tracking session that uses an AI service to periodically analyze captured check-in photos and quantify changes over a 28-day cycle.

Does skin tracking work with SwiftData for local storage?▼

Yes, skin tracking works with SwiftData by locally storing defined data models for TrackingSession, CheckIn, and TrackingReport to persist your 28-day check-in history and AI analysis results.

Can I share my skincare tracking results with others?▼

Yes, you can share skincare tracking results because the skill generates a comprehensive final synthesis report detailing your improvements and suggested next steps in a shareable format.

What do I need to start a 28-day skin tracking session?▼

To start a 28-day skin tracking session you need to capture a Day 0 baseline photo, after which the workflow guides you through periodic check-ins and AI-driven analyses until Day 28.

Why does skin tracking use a 28-day cycle for check-ins?▼

Skin tracking uses a 28-day cycle because it maps to the natural skin renewal process, structuring baseline capture and periodic AI photo analyses to accurately quantify improvement over the full cycle.