How does Axiom Energy help identify the cause of battery drain?

The skill provides a systematic decision tree and Power Profiler workflow to isolate which subsystem (CPU, GPU, Network, or Location) is the primary driver of energy consumption.

Can this skill help with background battery usage?

Yes, it includes specific patterns for background execution, BGTasks, and EMRCA principles to ensure apps remain energy-efficient even when not in the foreground.

Why does the skill recommend wireless debugging for energy profiling?

When a device is connected via a cable, it often charges, which can zero out or skew power metrics. Wireless debugging provides the most accurate reading of real-world battery impact.

What is the 'measure before optimizing' principle?

It is a core philosophy of this skill that prevents developers from wasting hours on random optimizations by first using diagnostics to find the actual root cause of energy drain.

Axiom Energy Optimization

Name: Axiom Energy Optimization
Author: CharlesWiltgen

byCharlesWiltgen

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233

Mobile Development

Diagnoses and resolves battery drain, overheating, and energy inefficiencies in xOS applications using systematic Power Profiler workflows.

소개

Axiom Energy provides a structured framework for auditing and optimizing power consumption across the xOS ecosystem, including iOS, iPadOS, watchOS, and tvOS. It eliminates guesswork by guiding developers through the Power Profiler workflow to identify dominant energy consumers—whether CPU, GPU, Network, Location, or Display—and provides battle-tested code patterns to fix common anti-patterns like inefficient timers, frequent network polling, and excessive location updates.

주요 기능

Strategies for background execution and push-based updates
Location accuracy and display optimization techniques
Energy-efficient code patterns for Timers and Combine
Systematic Power Profiler diagnostic workflows
Subsystem-specific bottleneck identification (CPU/GPU/Network/Location)
233 GitHub stars

사용 사례

Debugging device overheating issues during intensive tasks or background execution
Auditing legacy codebases for energy-draining polling and timer anti-patterns
Reducing app battery usage to improve App Store reviews and user retention

소개

주요 기능

Strategies for background execution and push-based updates
Location accuracy and display optimization techniques
Energy-efficient code patterns for Timers and Combine
Systematic Power Profiler diagnostic workflows
Subsystem-specific bottleneck identification (CPU/GPU/Network/Location)
233 GitHub stars

사용 사례

Debugging device overheating issues during intensive tasks or background execution
Auditing legacy codebases for energy-draining polling and timer anti-patterns
Reducing app battery usage to improve App Store reviews and user retention