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Building Surveyor AI Skill

Analyze property damage images with YOLO, SAM3, and Google Cloud Vision.

Updated Sep 2, 2025
Search Tags:#ai#machine learning#computer vision#sam3#yolo#damage assessment#property maintenance
One-click install
npx skills add https://github.com/Mintenance-LTD/mintenance --skill building-surveyor-ai-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Building Surveyor AI Skill
Source: https://github.com/Mintenance-LTD/mintenance/tree/main/.claude/skills/building-surveyor-ai
Command: npx skills add https://github.com/Mintenance-LTD/mintenance --skill building-surveyor-ai-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the complex process of identifying, classifying, and estimating the cost of property damage from images, streamlining the assessment workflow for insurance claims and maintenance.

Core Features & Use Cases

  • Automated Damage Detection: Utilizes a hybrid AI system (YOLO, SAM3, Google Cloud Vision) to detect various types of property damage.
  • Cost Estimation & Urgency Assessment: Provides estimated repair costs and urgency levels for detected damages.
  • Continuous Learning: Implements pipelines for model retraining, drift monitoring, and A/B testing to ensure ongoing accuracy.
  • Use Case: A homeowner uploads photos of a damaged roof after a storm. The AI analyzes the images, identifies specific issues like missing shingles and structural damage, estimates the repair cost, and flags it as high urgency.

Quick Start

Use the Building Surveyor AI skill to analyze property damage from the provided image URLs.

Frequently Asked Questions about Building Surveyor AI Skill

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

FAQPage Schema
How do I automate property damage assessment from images using AI?▼

Property damage assessment uses a hybrid AI inference system combining YOLO, SAM3, and Google Cloud Vision to detect issues, estimate repair costs, and flag urgency levels from images automatically.

What is the best way to estimate repair costs for roof damage from photos?▼

Estimating repair costs from photos relies on computer vision models like YOLO and SAM3 to identify specific damage. The system then generates detailed assessment reports with corresponding cost estimations.

Can I use YOLO and SAM3 together for computer vision damage detection?▼

Yes, YOLO and SAM3 are combined for computer vision damage detection. This hybrid inference system uses object detection and segmentation to accurately identify and classify property damage.

How do I monitor AI model drift and manage retraining pipelines for machine learning?▼

Monitor AI model drift and manage retraining pipelines by implementing continuous learning pipelines. The system orchestrates model evaluation, drift monitoring, and A/B testing to ensure ongoing accuracy.

Does automated damage detection work for insurance claims and property maintenance?▼

Automated damage detection works for insurance claims and property maintenance by streamlining the assessment workflow. It analyzes images, identifies issues, and generates detailed reports with cost estimations.

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