Does it include logic for managing AR content?

Yes, it features comprehensive data models for AR content that include spatial properties, visibility rules based on distance, and time-based triggers.

How does this skill improve AR placement accuracy?

It utilizes a hybrid approach combining standard GPS with Visual Positioning Systems (VPS), SLAM, and Cloud Anchors to achieve higher precision than GPS alone.

Can this be used for indoor AR experiences?

While focused on geospatial data, the skill includes visual SLAM and beacon-based logic suitable for transitioning between outdoor and indoor environments.

Which AR platforms are supported by this skill?

The skill provides implementation guidance and code patterns for ARKit (iOS), ARCore (Android), and WebXR for browser-based experiences.

Location-Based AR Experience

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

byorganvm-iv-taxis

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Mobile Development

Designs immersive augmented reality experiences using geospatial anchoring, GPS integration, and real-world coordinate systems.

The Location-Based AR Experience skill provides developers with a robust framework for building augmented reality applications that interact directly with the physical environment. It offers specialized guidance on geospatial anchoring, visual positioning systems (VPS), and content persistence across major platforms like ARKit and ARCore. By integrating GPS data with computer vision and spatial computing principles, this skill enables the creation of high-precision AR overlays, geofenced interactive zones, and world-scale navigation tools. It is ideal for developers building urban exploration apps, location-triggered marketing experiences, or persistent spatial annotations for industrial and logistics use cases.

主な機能

01Geospatial anchoring for precise real-world content placement

02Spatial data modeling for persistent and time-gated AR assets

032 GitHub stars

04Cross-platform implementation patterns for ARKit, ARCore, and WebXR

05Visual Positioning System (VPS) integration for centimeter-level accuracy

06Geofencing logic for automated location-aware content triggers

ユースケース

01Building persistent AR annotations for facility management and infrastructure

02Developing city-scale AR navigation and interactive tourism guides

03Creating location-triggered marketing campaigns and outdoor gaming experiences

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