What problem does it solve? After a deploy, merge, or dependency upgrade, teams often lack immediate visibility into whether the release broke anything. This Skill continuously checks a deployed URL for regressions so issues are caught before users report them. ## Core Features & Use Cases - Multi-signal health checks: Verifies HTTP status, console errors, network failures, Core Web Vitals (LCP/CLS/INP), key page content, API endpoints, static assets, and SSE streams against baselines. - Flexible watch modes: Run a single quick check, a sustained watch at a set interval and duration, or a diff comparison between staging and production. - Threshold-based alerting: Classifies findings as critical, warning, or info, and sends desktop notifications or Slack/Discord webhooks when critical thresholds are crossed. - Use Case: After merging a risky PR and deploying to production, run a sustained 2-hour watch on the production URL to confirm no new console errors, failed API calls, or LCP regressions appear. ## Quick Start Ask the AI to run a canary watch on your deployed URL, for example: monitor https://myapp.com every 5 minutes for 2 hours and alert me on any critical regressions.