What problem does it solve? Web applications slow down gradually as each pull request adds small delays and bundle weight, and teams often cannot pinpoint when performance degraded. This Skill measures real page performance, captures baselines, and flags regressions before they reach production. ## Core Features & Use Cases - Baseline Capture & Comparison: Record TTFB, FCP, LCP, DOM timings, transfer sizes, and request counts per page, then compare current metrics against stored baselines with regression thresholds. - Resource & Bundle Analysis: Identify the slowest and largest resources, track JS/CSS bundle growth, and check results against industry performance budgets. - Trend Tracking: Review historical benchmark data to spot gradual performance degradation over time. - Use Case: Before merging a PR, run a benchmark against your staging URL to discover that LCP doubled and the JS bundle grew 60%, then get specific recommendations like code-splitting or deferring third-party scripts. ## Quick Start Ask the AI to run /benchmark against your local dev server URL to audit page performance and compare it with the saved baseline.