What problem does it solve? Debugging slow, stuck, or failing Vercel deployments is hard without structured logs, traces, and real-user metrics. This Skill provides expert guidance for instrumenting applications with Vercel's observability stack so errors and performance issues can be detected and diagnosed quickly. ## Core Features & Use Cases - Structured Logging & Runtime Logs: Add JSON-formatted logging baselines to API routes and server actions, then query logs via the Vercel CLI, REST API, or MCP tools. - Drains Configuration: Forward logs, traces, Speed Insights, and Web Analytics data to external platforms like Datadog and Honeycomb via JSON, NDJSON, Syslog, or OTLP endpoints, with HMAC signature verification. - Web Analytics & Speed Insights: Set up privacy-friendly pageview tracking, custom events, and Core Web Vitals monitoring with @vercel/analytics and @vercel/speed-insights. - Use Case: After a production deploy, run a post-deploy error scan with vercel logs <url> --level error --since 1h and correlate failures with drain payloads to pinpoint the root cause. ## Quick Start Ask the assistant to add structured logging and Vercel Analytics to your Next.js app and verify the setup with a post-deploy error scan.