Agent skill · research science · datadrivenconstruction
progress-photo-analyzer
Analyze construction site photos to track progress, detect safety issues, and compare against BIM models using computer vision.
Why this skill is useful
Adds a comprehensive analysis framework for construction site photos, including safety detection and BIM comparison scripts that extend AI capabilities.
What it needs
Requires python3 installed locally. About 5k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
Progress Photo Analyzer Business Case Problem Statement Site photos are underutilized for progress tracking: Manual review is time-consuming Subjective progress assessment No systematic comparison to plans Safety issues may be missed Solution AI-powered photo analysis system that extracts progress information, detects safety concerns, and compares site conditions to BIM models. Business Value Automation - Reduce manual photo review Accuracy - Objective progress measurement Safety - Automatic hazard detection Documentation - Structured photo records Technical Implementation Quick Start Common Use Cases 1. Daily Progress Report 2. Safety Monitoring 3. Export Analysis Resources DDC Book: Chapter 4.1 - Site Data Collection Reference: Computer Vision for Construction
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/progress-photo-analyzer