Monitor live applications for console errors and performance regressions after deployment.
npx skills add https://github.com/cheng80/rummipoker --skill canary-cheng80
Please help me install this Agent Skill. Skill: canary Source: https://github.com/cheng80/rummipoker/tree/main/.agents/skills/gstack-canary Command: npx skills add https://github.com/cheng80/rummipoker --skill canary-cheng80
Post-deploy canary monitoring watches the live app for console errors, performance regressions, and page failures, using the browse daemon to detect anomalies early.
Run the canary skill after deploying to start monitoring production health, capture anomalies, and alert your team.
High-intent search queries and answers about installing and using this skill.
Post-deploy monitoring watches the live application for console errors, performance regressions, and page failures using the browse daemon. It captures periodic screenshots and compares them against pre-deploy baselines to detect production anomalies early.
Canary monitoring is a post-deploy verification process that detects runtime errors and performance issues in a live application. It compares periodic screenshots against pre-deploy baselines to surface regressions and verify deployment health in production.
Yes, post-deploy verification supports integration into CI/CD workflows. Running the canary process immediately after deployment starts monitoring production health, capturing anomalies, and alerting the team to any regressions.
Pre-deploy baselines work by capturing the application's normal state before a new deployment. After deployment, periodic screenshots are compared against these baselines to automatically surface visual regressions, page failures, and performance issues.
Yes, canary monitoring automatically detects console errors and performance regressions. The browse daemon watches the live application continuously and raises alerts on anomalies by comparing current application behavior to pre-deploy baselines.
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