What problem does it solve? Vercel bills and slow routes are hard to diagnose because cost and latency signals live in observability data while fixes live in source code. This Skill connects the two: it collects Vercel metrics, usage, and project config first, then investigates only the routes and files the metrics actually implicate, producing verified recommendations instead of guesswork. ## Core Features & Use Cases - Metrics-first audit pipeline: Collects route-level function invocations, duration, cache hit rates, Core Web Vitals, ISR reads/writes, and billing usage via the Vercel CLI before reading any source files. - Deterministic gating and verification: Pure-JavaScript threshold gates decide what gets investigated, and every recommendation is verified against real files, line numbers, and an allow-listed, version-aware documentation library. - Ranked report with before/after code: Produces a Markdown report and concise chat summary with recommendations tied to observed metrics, plus held-back findings when evidence is insufficient. - Use Case: A Next.js app's Vercel bill doubled last month. Run the audit to discover that two high-traffic routes have a 10% cache hit rate and middleware fires on 80% of requests, then get specific caching and matcher fixes with citations. ## Quick Start From a linked Vercel project directory, ask your coding agent to optimize this Vercel project and reduce its bill.