What platforms does this AR skill support?

It provides guidance and code patterns for ARKit (iOS), ARCore (Android), and general WebXR implementations.

Does it include coordinate conversion logic?

Absolutely, it provides Python implementations for converting global WGS84 coordinates to local AR world coordinates using planar projection.

Can this skill help with GPS accuracy issues?

Yes, it includes logic for hybrid positioning, combining GPS with visual SLAM and cloud anchors to achieve decimeter-level precision where GPS alone fails.

How does it handle persistent AR content?

The skill includes data models for AR content that can be saved via Cloud Anchors and loaded based on the user's current tile-based spatial location.

Location-Based AR Experience

Name: Location-Based AR Experience
Author: organvm-iv-taxis

byorganvm-iv-taxis

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Mobile Development

Designs immersive, location-anchored augmented reality experiences using geospatial data, GPS integration, and visual positioning systems.

The Location-Based AR Experience skill empowers developers to bridge the digital and physical worlds by providing specialized guidance for geospatial anchoring and world-scale AR. It offers implementation patterns for ARCore and ARKit, geofencing logic, and coordinate system conversions (WGS84 to local AR coordinates). Whether building city-scale navigation, interactive POI overlays, or persistent outdoor installations, this skill provides the mathematical foundations and architectural best practices needed for high-precision spatial computing and persistent content placement.

Key Features

01Geospatial anchoring and coordinate system conversions (WGS84 to local AR world).

02Guidance on accuracy requirements for different experience types, from GPS to visual SLAM.

03Implementation patterns for ARCore Geospatial API and ARKit Cloud Anchors.

042 GitHub stars

05Spatial data models for managing persistent, time-gated, and interactive AR overlays.

06Geofencing management for triggering AR content and interactive events based on proximity.

Use Cases

01Implementing location-triggered marketing or educational experiences using geofencing.

02Creating interactive historical tours with persistent AR content at specific landmarks.

03Developing city-scale navigation apps with real-world directional overlays.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add organvm-iv-taxis/a-i--skills location-ar-experience

For use in Claude.ai and ChatGPT

Download Skill