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qt-qml-profiler

Profile QML/Qt Quick applications for CPU, memory, and rendering performance.

351|38|Updated Mar 26, 2026
Search Tags:#performance optimization#performance analysis#performance profiling#qt#qml
One-click install
npx skills add https://github.com/TheQtCompanyRnD/agent-skills --skill qt-qml-profiler
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qt-qml-profiler
Source: https://github.com/TheQtCompanyRnD/agent-skills/tree/main/skills/qt-qml-profiler
Command: npx skills add https://github.com/TheQtCompanyRnD/agent-skills --skill qt-qml-profiler

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Qt6, CMake, Python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to profile and analyze the performance of their QML/Qt Quick applications, identifying and diagnosing performance bottlenecks.

Core Features & Use Cases

  • Performance Profiling: Analyze CPU usage, memory allocation, and rendering performance of QML/Qt Quick applications.
  • Hotspot Identification: Locate and analyze performance bottlenecks within the application.
  • Use Case: If your application is experiencing lag or performance issues, use this Skill to identify the source of the problem and optimize accordingly.

Quick Start

Use the qt-qml-profiler skill to profile the application 'my-app.qml'.

Frequently Asked Questions about qt-qml-profiler

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

FAQPage Schema
How do I profile CPU usage and identify performance bottlenecks in a QML application?▼

To profile QML application CPU usage and identify performance bottlenecks, you can use this Skill to analyze rendering performance and memory allocation for Qt Quick apps.

Why does my Qt Quick application experience lag and how can I find the source?▼

If your Qt Quick application experiences lag, performance profiling isolates the source by analyzing CPU usage, memory allocation, and rendering performance to locate specific bottlenecks.

Do I need Qt 6 and CMake to analyze QML rendering performance?▼

Yes, you need Qt 6, CMake, and Python 3 installed to analyze QML rendering performance and execute the performance profiling scripts for your applications.

What's the best way to analyze memory allocation in Qt Quick apps?▼

The best way to analyze memory allocation in Qt Quick apps is using performance profiling tools to inspect runtime allocation behavior and pinpoint areas causing performance degradation.

Can I use this performance profiling for Qt Quick 3D applications?▼

No, this performance profiling does not support Qt Quick 3D applications. It is strictly designed for analyzing 2D QML and Qt Quick application performance bottlenecks.

What is QML performance profiling and when do I need it?▼

QML performance profiling is the process of measuring CPU, memory, and rendering metrics in Qt Quick apps, needed when diagnosing application lag or optimizing execution efficiency.

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