Monitor deployed URLs for console errors, performance regressions, and page failures.
npx skills add https://github.com/FxHollow/100000mrr-landing --skill canary-fxhollow
Please help me install this Agent Skill. Skill: canary Source: https://github.com/FxHollow/100000mrr-landing/tree/main/.agents/skills/gstack/canary Command: npx skills add https://github.com/FxHollow/100000mrr-landing --skill canary-fxhollow
Canary-based post-deploy monitoring helps catch console errors, performance regressions, and page failures in production before users notice.
Start monitoring a URL after deploy by invoking the canary skill with a target URL and optional flags to control duration and pages.
High-intent search queries and answers about installing and using this skill.
Post-deploy monitoring detects console errors, performance regressions, and page failures by watching a live app URL, capturing baselines, taking screenshots, and alerting on anomalies after deployment.
Canary-based post-deploy monitoring works by comparing post-deploy screenshots and telemetry against pre-deploy baselines to surface production anomalies before users notice them.
You set up production monitoring by invoking the skill with a target URL and optional flags to control duration and pages, using the included browser daemon to run baseline captures and compare results.
Yes, the included browser daemon and preconfigured skill tooling are required to run baseline captures, compare results, and trigger alerts for post-deploy verification across selected pages.
Detect production performance regressions by applying post-deploy verification across the live app, capturing baselines before deployment, and comparing live results to alert on detected anomalies.
Yes, you can control monitoring duration and selected pages by passing optional flags when invoking the skill with a target URL to guide telemetry across the live app.
CarbeneAIMonitor production web apps for console errors, performance regressions, and page failures.
ankraioRoute cluster alerts to external systems via webhooks with AI incident context.
AkbarDevopMonitor live web applications for console errors and page failures post-deployment.
sanskarbasnetMonitor live applications for console errors, performance degradations, and page failures.
