canary

Monitors deployed apps for UI anomalies and operational problems via screenshots and KPIs.

Updated May 28, 2026
One-click install
npx skills add https://github.com/limzivector/SEO --skill canary-limzivector
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/limzivector/SEO/tree/main/gstack/canary
Command: npx skills add https://github.com/limzivector/SEO --skill canary-limzivector

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for post-deployment monitoring and canary checks for live applications, ensuring they are functioning correctly and identifying potential issues early.

Core Features & Use Cases

  • Post-deploy Monitoring: Continuously watches the live app for console errors, performance regressions, and page failures.
  • Canary Check: Compares periodic screenshots against pre-deploy baselines and alerts on anomalies.
  • Use Case: Ideal for post-deployment verification, ensuring a smooth transition from development to production without disruptions.

Quick Start

Run the canary skill to monitor the live app and perform a canary check.

Frequently Asked Questions about canary

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

FAQPage Schema
What is a canary check for post-deployment monitoring?

A canary check compares periodic live screenshots against pre-deploy baselines to detect anomalies. It monitors live applications for console errors, performance regressions, and page failures during post-deployment verification.

How do I automate screenshot comparison after deploying my app?

Run the canary skill to automate screenshot comparison after deploying. It captures live application screenshots, compares them against pre-deployment baselines, and alerts on visual anomalies and page failures.

Do I need Bash to run post-deploy monitoring and canary checks?

Yes, Bash is required for execution alongside Read, Write, Glob, and AskUserQuestion. These tools enable the skill to monitor live applications and perform canary checks in production environments.

What's the best way to detect console errors and performance regressions in a live app?

Use post-deploy monitoring to continuously watch the live app for console errors and performance regressions. The canary skill catches these issues early, ensuring a smooth transition from development to production.

Can I use canary checks for production monitoring scenarios?

Yes, canary checks apply directly to production monitoring scenarios. The skill performs post-deployment verification by comparing live screenshots with baselines and watching for page failures and performance issues.

Why does my live app monitoring not catch visual regressions after deployment?

Without screenshot comparison against pre-deploy baselines, visual regressions go unnoticed. The canary skill addresses this by capturing periodic screenshots and alerting on anomalies during post-deploy monitoring.