Monitor deployed apps for console errors, performance regressions, and page failures.
npx skills add https://github.com/chriswestt/claude-skills --skill canary-chriswestt
Please help me install this Agent Skill. Skill: canary Source: https://github.com/chriswestt/claude-skills/tree/main/gstack/canary Command: npx skills add https://github.com/chriswestt/claude-skills --skill canary-chriswestt
Post-deploy canary monitoring. Watches the live app for console errors, performance regressions, and page failures using the browse daemon. Takes periodic screenshots, compares against pre-deploy baselines, and alerts on anomalies. Use when: "monitor deploy", "canary", "post-deploy check", "watch production", "verify deploy". (gstack)
Canary monitoring that detects runtime errors, performance regressions, and page failures. Baseline comparisons with pre-deploy baselines; screenshots and anomaly alerts.
Run the canary skill against a deployed app by triggering it in Claude with the canary prompts.
High-intent search queries and answers about installing and using this skill.
Post-deploy canary monitoring watches the live app for console errors, performance regressions, and page failures using a browse daemon. It takes periodic screenshots, compares them against pre-deploy baselines, and alerts you on detected anomalies to verify production stability.
Canary deployment checks verify production stability by comparing live application states against pre-deploy baselines. The monitoring process captures periodic screenshots and uses the browse daemon to detect runtime errors, alerting you when page performance or visual output regresses.
Automated post-deploy monitoring detects performance regressions by applying a browse daemon during and after deployment. It continuously verifies production stability by comparing live periodic screenshots against established pre-deploy baselines and alerting on any anomalies.
Yes, automated canary monitoring alerts on console errors and page failures during deployment. It applies baseline comparisons and periodic screenshots to surface regressions, actively guiding remediation when production anomalies are detected.
You need canary monitoring when you want to verify production stability after a deployment. It is used for post-deploy checks to watch for runtime errors, performance regressions, and page failures, alerting on anomalies to guide immediate remediation.
cloudofgeorgeMonitors deployed apps for errors, performance regressions, and page failures via screenshots and baselines.
binfen1Monitor live apps for console errors, performance regressions, and page failures.
joyce820309Monitor live applications for console errors, performance regressions, and page failures.
NaKMiersMonitor live URLs for console errors and performance regressions after deploy.
