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debug-ai-frontend

Analyze chat E2E test artifacts to identify latency, timeline gaps, and failures.

Updated Aug 23, 2026
Search Tags:#debugging#analytics#frontend#diagnostics#latency#playwright#e2e-testing
One-click install
npx skills add https://github.com/eugene-belkovich/ai-setup --skill debug-ai-frontend
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: debug-ai-frontend
Source: https://github.com/eugene-belkovich/ai-setup/tree/main/claude/profiles/work/skills/frontend/debug-ai-frontend
Command: npx skills add https://github.com/eugene-belkovich/ai-setup --skill debug-ai-frontend

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes frontend chat E2E tests for ai-frontend to identify latency, timeline gaps, and failure points, enabling faster debugging.

Core Features & Use Cases

  • Run the portfolio chat startup E2E test and analyze results with latency metrics, timeline, and diagnostics.
  • Analyze an existing chat run bundle JSON file to extract session data, timeline, frames, and metrics.
  • Provide actionable diagnostics and guidance for debugging frontend chat flows.

Quick Start

Run the portfolio chat startup E2E test to generate artifacts, then analyze them with the built-in analyzer.

Frequently Asked Questions about debug-ai-frontend

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

FAQPage Schema
How do I analyze Playwright E2E test results for frontend chat latency and failures?▼

Analyze chat E2E test results by parsing test artifacts to identify latency, timeline gaps, and failure points. This process requires a valid NodeJS environment to generate structured diagnostic summaries from the run bundle.

What's the best way to debug timeline gaps and failure points in a frontend chat application?▼

Debug frontend chat timeline gaps by running the portfolio chat startup E2E test and analyzing the generated artifacts. The analyzer extracts session data, frames, and metrics to provide actionable debugging guidance for chat flows.

Can I analyze an existing chat run bundle JSON file to extract session data and metrics?▼

Yes, you can analyze an existing chat run bundle JSON file to extract session data, timeline, frames, and metrics. The analyzer parses these artifacts to produce structured summaries for diagnosing frontend chat latency and failures.

Do I need a NodeJS environment to run frontend chat E2E test diagnostics?▼

Yes, a valid NodeJS environment is required to run the portfolio chat startup E2E test and parse the generated test artifacts. This environment allows the analyzer to process the run bundle and produce structured diagnostic summaries.

How do E2E testing diagnostics help identify frontend chat latency issues?▼

E2E testing diagnostics identify frontend chat latency by analyzing the test timeline and extracting metrics from the run bundle. This structured analysis highlights performance bottlenecks and failure points within the chat application flow.

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