Agent skill · research science · erichowens
drone-inspection-specialist
Advanced CV for infrastructure inspection including forest fire detection, wildfire precondition assessment, roof inspection, hail damage analysis, thermal imaging, and 3D Gaussian Splatting
Why this skill is useful
Provides specialized knowledge in multi-modal detection and insurance risk modeling for drone inspections that the AI wouldn't reliably generate on its own.
What it needs
About 5k tokens when loaded. Last updated 2026-07-14. 180 stars on the source repository.
What this skill does
Drone Inspection Specialist Expert in drone-based infrastructure inspection with computer vision, thermal analysis, and 3D reconstruction for insurance, property assessment, and environmental monitoring. Decision Tree: When to Use This Skill Core Competencies Fire Detection & Wildfire Risk Multi-Modal Detection: RGB smoke + thermal hotspot fusion Precondition Assessment: NDVI, fuel load, vegetation density Defensible Space: CAL FIRE/NFPA 1144 compliance evaluation Progression Tracking: Spread rate, direction prediction Roof & Structural Inspection Damage Detection: Cracks, missing shingles, wear, ponding Hail Analysis: Impact pattern recognition, size estimation Thermal Analysis: Moisture detection, insulation gaps, HVAC leaks Material Classification: Asphalt, metal, tile, slate identification 3D Reconstruction (Gaussian Splatting) Pipeline: Video → COLMAP SfM → 3DGS training → Web viewer Measurements: Roof area, damage dimensions, property bounds Change Detection: Before/after comparison for claims Insurance & Reinsurance Claim Packaging: Documentation meeting industry standards Risk Modeling: Catastrophe models, loss distributions Precondition Data: Satellite + drone + ground integration Anti-Patterns to Avoid 1. "Single-Sensor Dependence" Wrong: Using only RGB for fire detection. Right: Multi-modal fusion (RGB + thermal) for high-confidence alerts. Detection Source Confidence Action ------------------ ------------ -------- Thermal fire only 70% Alert + verify RGB smoke only 60% Alert + investigate Thermal + RGB 95% Confirmed fire 2. "Ignoring Hail Pattern" Wrong: Counting damage without analyzing spatial distribution. Right: True hail damage has RANDOM distribution. Linear or clustered patterns indicate other causes (foot traffic, age). 3. "Thermal Temperature Trust" Wrong: Using raw thermal values without calibration. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills erichowens/drone-inspection-specialist