What problem does it solve?
This Skill eliminates slow, error-prone manual browser debugging and performance investigation by letting an AI agent navigate, observe, and instrument Chrome via the DevTools interface.
Core Features & Use Cases
- Browser automation for real sites: Navigate, click, type, and extract content so you can reproduce issues and complete UI flows reliably.
- Debugging with high-fidelity signals: Inspect network activity (including failed requests) and capture console errors to diagnose production problems.
- Performance analysis and Core Web Vitals: Record traces and compute metrics (optionally including CrUX data) to validate improvements and regressions.
- Use Case: When a checkout page fails intermittently, you can reproduce the flow, collect failed network requests, capture console errors, and produce performance traces and metrics for root-cause analysis.
Quick Start
Use the chrome-devtools-mcp automation Skill to navigate to https://example.com, capture screenshots, and report any console errors and failed network requests.