canary

Monitor live app performance and detect post-deployment issues via screenshots and baselines.

Updated Jun 5, 2026
One-click install
npx skills add https://github.com/muhammadhamad1104/nuevo --skill canary-muhammadhamad1104
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/muhammadhamad1104/nuevo/tree/main/gstack/canary
Command: npx skills add https://github.com/muhammadhamad1104/nuevo --skill canary-muhammadhamad1104

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bash, screen, git, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill monitors and verifies live app deployment, performance, and post-deployment anomalies by watching for console errors, performance regressions, and page failures, taking screenshots and comparing against baselines.

Core Features & Use Cases

  • Post-Deployment Monitoring: Tracks live app performance and detects issues like errors, regressions, and page failures after deployment.
  • Screenshot Comparison: Compares periodic screenshots with pre-deployment baselines to identify deviations.
  • Alerting: Notifies on detected anomalies and potential issues in live applications.
  • Use Case: When performing a canary deployment or post-deployment check on a live app, this Skill can help identify any issues that might affect user experience.

Quick Start

Run the skill by invoking it with the command: /canary check

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor live app performance and detect errors after a deployment?

Monitor live app performance post-deployment by running automated checks that watch for console errors, performance regressions, and page failures. The skill captures screenshots and compares them against baselines to identify visual or functional deviations.

What is canary testing and how does it verify post-deployment application health?

Canary testing verifies post-deployment health by monitoring live applications for anomalies. It detects issues like page failures and performance regressions, alerting you to potential problems affecting user experience before they scale.

How do I detect UI regressions by comparing live screenshots against pre-deployment baselines?

Detect UI regressions by capturing periodic screenshots of the live app and comparing them against pre-deployment baselines. This identifies visual deviations and page failures automatically during post-deployment monitoring.

Do I need bash and screen tools to run post-deployment monitoring checks?

Yes, you need bash and screen tools to run post-deployment monitoring checks. The skill uses bash scripts and screen capture utilities to monitor live applications, detect performance regressions, and compare screenshots against baselines.

Can I use this for continuous deployment environments to catch post-deployment anomalies?

Yes, this skill is specifically intended for continuous deployment environments. It monitors live applications post-deployment to catch anomalies, performance regressions, and page failures, alerting you to issues that affect user experience.

What's the best way to automate error detection during a canary deployment?

Automate error detection during a canary deployment by invoking the skill to watch for console errors and page failures. It takes screenshots, compares them against baselines, and alerts on detected performance regressions.