What problem does it solve? Deploys that pass CI can still break in production due to missing environment variables, stale CDN caches, or slow migrations. This Skill watches the live app after a deploy and catches regressions in the first minutes instead of hours. ## Core Features & Use Cases - Baseline Capture: Takes pre-deploy screenshots, console error counts, and load times per page, saved as a baseline manifest for later comparison. - Continuous Monitoring Loop: Checks each monitored page every 60 seconds for a configurable duration, comparing results against the baseline and alerting only on persistent changes across 2+ consecutive checks. - Severity-Based Alerts: Classifies findings as CRITICAL (page load failure), HIGH (new console errors), MEDIUM (2x load time regression), or LOW (new broken links), each with screenshot evidence. - Health Report: Produces a per-page summary report with status, error counts, and average load times, saved as Markdown and JSON. - Use Case: After deploying a new release, run the canary against your production URL for 10 minutes to verify the homepage, dashboard, and settings pages still load correctly with no new console errors. ## Quick Start Ask the AI to run the canary monitor against your production URL for 10 minutes after a deploy and alert you if any page regresses compared to the baseline.
