What problem does it solve? Teams often ship changes without knowing their performance impact, discovering regressions only after users complain. This Skill establishes measurable performance baselines and compares metrics before and after changes so regressions are caught before release. ## Core Features & Use Cases - Page Performance Measurement: Captures Core Web Vitals (LCP, CLS, INP, FCP, TTFB), resource sizes, and network request counts via browser MCP against defined targets. - API and Build Benchmarking: Measures endpoint latency percentiles (p50, p95, p99) under load, plus cold build, hot reload, test, lint, and type-check durations. - Before/After Comparison: Saves baselines as JSON in .ecc/benchmarks/ and produces delta tables with verdicts (better/warn) for each metric. - Use Case: Before merging a PR, run a baseline, apply your changes, then compare to see that LCP regressed by 200ms while bundle size improved by 5KB, and decide whether to ship. ## Quick Start Ask the AI to run a performance baseline of your app now, then compare it against your new changes to flag any regressions.