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 your live app in the critical first minutes after a deploy, catching issues before users do. ## Core Features & Use Cases - Continuous Post-Deploy Monitoring: Checks pages every 60 seconds for a configurable duration (1-30 minutes), comparing console errors, load times, and page availability against baselines. - Baseline Capture & Comparison: Captures pre-deploy screenshots, console error counts, and load times, then alerts only on changes — not absolute values — to avoid false alarms. - Tiered Alerting with Evidence: Classifies issues as CRITICAL (page load failure), HIGH (new console errors), MEDIUM (2x performance regression), or LOW (broken links), each backed by a screenshot. - Use Case: After deploying a new release, run the canary against your production URL for 10 minutes. If a new console error appears on /dashboard and load time doubles, you get an immediate alert with a screenshot and can choose to investigate, continue monitoring, or roll back. ## Quick Start Ask the AI to monitor https://your-app.com for 10 minutes after your deploy using the canary skill, and optionally capture a baseline first with the --baseline flag before deploying.
