Does it support the latest iOS background APIs?

Yes, it covers modern best practices for BGTaskScheduler, significant-change location monitoring, and discretionary URLSession configurations.

Can it help with device overheating?

Yes, it includes a dedicated diagnostic path for thermal issues, helping you identify if the cause is GPU-intensive animations, camera session leaks, or CPU-heavy parsing.

Is this skill suitable for SwiftUI apps?

Absolutely. It provides specific fixes for SwiftUI-related energy spikes, such as using LazyVStack for large lists and optimizing view hierarchies with drawingGroup().

What tools are required to use these diagnostics?

The skill is designed to be used alongside standard Apple developer tools, primarily Xcode, the Power Profiler, and the Time Profiler.

How does this skill help improve iOS battery life?

It provides structured decision trees that link symptoms, like high background drain, to specific diagnostic steps in Xcode Instruments and provides the corresponding code fixes.

Axiom Energy Diagnostics

Name: Axiom Energy Diagnostics
Author: CharlesWiltgen

byCharlesWiltgen

•

233

•

Mobile Development

Troubleshoots energy consumption and overheating issues in iOS and iPadOS apps using symptom-based decision trees.

The axiom-energy-diag skill provides a structured framework for identifying and resolving power-related issues in modern xOS applications. By categorizing problems into specific symptoms—such as device overheating, background drain, or high cellular usage—it guides developers through efficient diagnostic paths using the Xcode Power Profiler and Time Profiler. This skill eliminates guesswork by offering time-cost analyses for different debugging approaches and providing proven implementation patterns to optimize CPU, GPU, and network energy impact.

Key Features

01Optimization patterns for background tasks and location services

02Quick-fix checklists for common battery-draining anti-patterns

03Time-cost analysis for profiling vs. manual code review

04Symptom-based decision trees for rapid energy troubleshooting

05233 GitHub stars

06Cellular-specific energy reduction strategies for URLSession

Use Cases

01Resolving device overheating during intensive operations like video or scrolling

02Identifying why an app appears at the top of iOS battery usage settings

03Auditing background modes and BGTaskScheduler usage for silent battery drain

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add charleswiltgen/axiom axiom-energy-diag

For use in Claude.ai and ChatGPT

Download Skill