canary

Monitor post-deploy web apps for console errors, performance metrics, and page failures.

Updated Mar 21, 2026
One-click install
npx skills add https://github.com/TimHL5/carousel --skill canary-timhl5
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/TimHL5/carousel/tree/main/.claude/skills/gstack/canary
Command: npx skills add https://github.com/TimHL5/carousel --skill canary-timhl5

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring helps teams quickly detect production issues that slip past CI, such as console errors, performance regressions, and page failures.

Core Features & Use Cases

  • Live monitoring of console errors, performance metrics, and page failures after deploys.
  • Baseline comparisons with periodic screenshots to detect regressions.
  • Alerts and reporting to guide rapid remediation and rollback decisions.
  • Supports configurable pages and durations.

Quick Start

Provide the production URL to monitor after deploy and run the canary to start monitoring post-deploy for anomalies.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor for production errors after a web app deploy?

Post-deploy monitoring continuously checks live web apps for console errors, latency anomalies, and page failures. By watching logs and performance signals against a baseline, it raises alerts when deviations occur to guide rollback decisions.

What is post-deploy canary monitoring and when do I need it?

Post-deploy canary monitoring detects production issues that slip past CI, such as performance regressions and console errors. You need it after deploying web apps to continuously track user impact and catch page failures early.

Can I compare performance metrics against a baseline after deploying?

Yes, baseline comparison is supported. The monitoring process captures periodic screenshots and performance metrics after deploys, comparing them against the baseline to detect visual and functional regressions.

Do I need a browser daemon to continuously monitor production environments?

Yes, a browser daemon is required to run the canary monitoring. It integrates with the daemon to continuously watch logs, check console errors, and capture screenshots for configurable pages and durations.

How do I set up alerts for latency anomalies in live web applications?

Provide the production URL to monitor after deploy and run the canary. It continuously watches performance signals and latency, automatically raising alerts when deviations from the baseline occur.

Can I configure the monitoring duration for specific production pages?

Yes, the monitoring supports configurable pages and durations. You specify the production URL and set the duration to continuously watch for errors, performance regressions, and page failures.