Core Location Implementation Patterns

About

This skill provides domain-specific guidance for implementing Apple's Core Location framework using modern Swift concurrency and the latest iOS 17/18 APIs. It helps developers navigate complex authorization strategies to reduce user denial rates, select appropriate accuracy levels to preserve battery life, and correctly implement background monitoring using CLMonitor. By following these battle-tested patterns, developers can avoid common anti-patterns like continuous updates for geofencing or improper background session handling that lead to app rejection or poor user experience.

Key Features

• Optimized location authorization strategies (When In Use vs. Always)
• Battery-efficient monitoring using CLMonitor and geographic conditions
• 233 GitHub stars
• Automatic stationary detection patterns to pause updates and save power
• Graceful handling of location denials and system-wide disabled states
• Modern iOS 18 CLServiceSession and declarative API implementation

Use Cases

• Designing multi-stage location authorization flows to maximize user consent rates
• Implementing power-efficient background geofencing for reminder or logistics apps
• Configuring appropriate location accuracy and activity types for fitness or navigation apps