canary

Monitor post-deploy web apps for defects and performance regressions.

5|Updated Apr 24, 2026
One-click install
npx skills add https://github.com/timurgaleev/vibestack --skill canary-timurgaleev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/timurgaleev/vibestack/tree/main/skills/canary
Command: npx skills add https://github.com/timurgaleev/vibestack --skill canary-timurgaleev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the detection of post-deploy issues by continuously monitoring a live application, surfacing errors, performance regressions, and visual anomalies before end users are affected.

Core Features & Use Cases

  • Post-deploy monitoring to observe live pages, capture screenshots, console errors, and performance metrics with a browser-based monitor.
  • Baseline capture and comparison against pre-deploy states to identify regressions and anomalies.
  • Automated per-page health reporting with clear evidence paths and alerts for critical deviations.
  • Guided multi-page monitoring for complex apps, with quick-start workflows and actionable recommendations.

Quick Start

Invoke the skill with /canary <url> after deploying to start monitoring production for the default duration and pages.

Frequently Asked Questions about canary

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor production for defects after a deploy?

Monitor post-deploy production for defects by invoking /canary <url>. The skill captures browser screenshots, console logs, and performance metrics, comparing them against pre-deploy states to detect regressions.

What is automated production monitoring for visual anomalies?

Automated production monitoring captures browser screenshots and console errors from live pages, comparing them against baseline states to detect visual anomalies and errors before end users are affected.

Can I use this post-deploy monitoring with dynamic frontend web apps?

Yes, this post-deploy monitoring applies to web apps with continuous deployment, multi-page sites, and dynamic frontends. It guides multi-page monitoring for complex apps and reports per-page health.

How do I compare current application performance against a baseline?

To compare current application performance against a baseline, the monitor workflow captures post-deploy metrics and screenshots, automatically comparing them against your pre-deploy state to identify regressions.

What is the best way to detect performance regressions in continuous deployment?

The best way to detect performance regressions in continuous deployment is automated baseline comparison. The monitor workflow captures live performance metrics and alerts you to critical deviations.

Why are my post-deploy production checks not catching visual anomalies?

Post-deploy checks miss visual anomalies without automated baseline comparison. This monitor captures screenshots and console logs post-deploy, comparing against pre-deploy states to surface visual regressions automatically.