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performance-check

Analyze profiling data to identify performance bottlenecks in memory, CPU, energy, and launch time.

Updated Jul 24, 2024
Search Tags:#performance#optimization#memory#profiling#swiftui#cpu#launch-time
One-click install
npx skills add https://github.com/jasonwilmot/little-riddle --skill performance-check-jasonwilmot
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-check
Source: https://github.com/jasonwilmot/little-riddle/tree/main/.claude/skills/performance-check
Command: npx skills add https://github.com/jasonwilmot/little-riddle --skill performance-check-jasonwilmot

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Profile-guided performance analysis for memory, CPU, energy, and launch time.

Core Features & Use Cases

  • Profiling across Launch Time, Main Thread Usage, Memory, SwiftUI, and Energy to identify bottlenecks.
  • Actionable recommendations and checklists to guide optimization efforts.
  • Use Case: A mobile app experiencing slow startup and dropped frames can be analyzed to prioritize fixes.

Quick Start

Run a profile on your app to identify bottlenecks across launch, main thread usage, memory, SwiftUI, and energy usage.

Frequently Asked Questions about performance-check

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify performance bottlenecks in mobile app launch time and memory usage?▼

Profile-guided performance analytics identifies bottlenecks in memory, CPU, energy, and launch time by capturing profiling data and providing structured output to guide deterministic optimizations across these areas.

Can I analyze SwiftUI rendering and main thread usage for dropped frames?▼

Yes, you can analyze SwiftUI rendering and main thread usage. The profiling process evaluates UI rendering and main thread activity to pinpoint bottlenecks causing dropped frames in mobile applications.

What steps do I take to profile CPU and energy impact during app development?▼

To profile CPU and energy impact, run a profile on your app during development to capture data across these dimensions. The analysis provides actionable recommendations and checklists to guide your optimization efforts.

Does this approach work for both mobile and desktop applications?▼

Yes, this approach works for both mobile and desktop applications. Profile-guided performance analysis applies to modern apps across both platforms during development and release phases to evaluate launch time, memory, and energy impact.

How do I get actionable recommendations after capturing app profiling data?▼

After capturing app profiling data, the analysis evaluates launch time, main thread usage, memory, and energy impact, generating actionable recommendations and checklists to prioritize and guide your optimization efforts.

Why does my app experience slow startup and how do I prioritize performance fixes?▼

If your app experiences slow startup, profile-guided analysis identifies the specific launch time bottlenecks. It provides structured output and actionable checklists to help you prioritize fixes for slow startup and dropped frames.

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