canary

Monitor production apps for errors and regressions after deployment.

1|Updated May 25, 2026
One-click install
npx skills add https://github.com/chiruu12/nudge --skill canary-chiruu12
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/chiruu12/nudge/tree/main/.agents/skills/gstack-canary
Command: npx skills add https://github.com/chiruu12/nudge --skill canary-chiruu12

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Bash, read, write, glob, askuserquestion, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill identifies issues like console errors, performance regressions, and page failures in production applications post-deployment, enabling proactive troubleshooting and maintaining application integrity.

Core Features & Use Cases

  • Post-Deploy Monitoring: Identifies live app issues after deployment.
  • Screenshot Comparison: Compares current app state against pre-deploy baselines.
  • Alerts: Generates alerts upon detecting anomalies.
  • Use Case: Utilize the Skill after a new release to verify application stability.

Quick Start

Use the canary skill to initiate a post-deploy check on your application.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor production applications for errors after deployment?

Monitor production applications post-deployment by comparing live app states against pre-deploy baselines. This process identifies console errors, performance regressions, and page failures, generating alerts for anomalies to enable proactive troubleshooting.

How do I run post-deploy checks for performance regressions in a CI/CD pipeline?

Run post-deploy checks for performance regressions by utilizing Bash automation within your CI/CD pipeline. The system compares current application states against pre-deploy baselines and generates alerts upon detecting anomalies.

What is the best way to detect page failures after a new release?

The best way to detect page failures after a new release is to execute a post-deploy check that compares live application states against pre-deploy baselines. This approach identifies anomalies and generates alerts for page failures.

Does application monitoring work with Bash for automating anomaly alerts?

Yes, application monitoring works with Bash for automating anomaly alerts. The Skill utilizes Bash to compare live app states against pre-deploy baselines, automatically generating alerts when it detects errors or regressions.

Can I use screenshot comparison to verify application stability post-deployment?

Yes, you can use screenshot comparison to verify application stability post-deployment. The Skill compares the current live app state against pre-deploy baselines to identify visual regressions, console errors, and page failures.

Why does post-deploy monitoring compare live app states against pre-deploy baselines?

Post-deploy monitoring compares live app states against pre-deploy baselines to accurately identify new issues like console errors and performance regressions. This comparison isolates anomalies introduced by the new release and generates alerts.