Is this skill specific to Flutter?

Yes, it is designed for developers using OpenWebF, which is a high-performance web rendering engine specifically built for the Flutter framework.

Can I generate performance monitoring code automatically?

Yes, the skill provides scaffolding templates for loading-state events and LCP verification to help you implement monitoring quickly.

What metrics can this skill track?

It tracks key performance indicators including First Paint (FP), First Contentful Paint (FCP), and Largest Contentful Paint (LCP) within the OpenWebF host.

How does it help with slow rendering diagnosis?

The skill utilizes tools like dumpLoadingState to analyze the loading lifecycle and identify specific stages where delays occur during the render process.

What is the benefit of using the dumpLoadingState feature?

It allows you to see the internal state of the loader, making it easier to see if network requests, script execution, or layout phases are causing performance regressions.

OpenWebF Performance Metrics

Name: OpenWebF Performance Metrics
Author: archview-ai

byarchview-ai

分析と監視

Instruments and diagnoses performance bottlenecks in OpenWebF applications within the Flutter ecosystem.

概要

This skill empowers developers to monitor and optimize the performance of OpenWebF-based Flutter applications by capturing critical web vitals like FP, FCP, and LCP. It provides diagnostic tools like dumpLoadingState to pinpoint where time is spent during the loading lifecycle, allowing for precise identification of slow first renders. By integrating performance monitoring APIs and providing specialized scaffolding templates, it streamlines the process of verifying Largest Contentful Paint (LCP) and ensuring a high-performance rendering experience for hybrid mobile applications.

主な機能

Monitor key loading state events and lifecycle timings in real-time
0 GitHub stars
Capture core web vitals including FP, FCP, and LCP in Flutter environments
Diagnose rendering bottlenecks using dumpLoadingState analysis
Direct integration with official OpenWebF performance monitoring APIs
Automated scaffolding for performance monitoring and verification templates

ユースケース

Implementing production-grade performance monitoring and observability for hybrid apps
Debugging and resolving slow initial page loads in WebF-rendered Flutter apps
Verifying LCP compliance to meet web-on-mobile performance standards

概要

主な機能

Monitor key loading state events and lifecycle timings in real-time
0 GitHub stars
Capture core web vitals including FP, FCP, and LCP in Flutter environments
Diagnose rendering bottlenecks using dumpLoadingState analysis
Direct integration with official OpenWebF performance monitoring APIs
Automated scaffolding for performance monitoring and verification templates

ユースケース

Implementing production-grade performance monitoring and observability for hybrid apps
Debugging and resolving slow initial page loads in WebF-rendered Flutter apps
Verifying LCP compliance to meet web-on-mobile performance standards