canary

Monitor production web apps for errors, regressions, and page failures.

2|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/jayzalowitz/skytwin --skill canary-jayzalowitz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/jayzalowitz/skytwin/tree/main/.claude/skills/gstack/canary
Command: npx skills add https://github.com/jayzalowitz/skytwin --skill canary-jayzalowitz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring ensures production reliability by continuously watching the live app for console errors, performance regressions, and page failures, and by validating against baselines.

Core Features & Use Cases

  • Baseline capture before or after deploy to establish a reference for performance and errors.
  • Live monitoring using the browse daemon to take periodic screenshots, check console errors, and measure performance.
  • Anomaly alerts that trigger when observed metrics deviate from baselines, enabling rapid rollback or investigation.
  • Page-set scope supports targeting specific URLs or pages like homepage, dashboard, and settings to narrow monitoring.
  • Post-deploy verification flow to verify canary health after production changes.

Quick Start

Run /canary <url> to start a 10-minute post-deploy monitoring session with optional flags for duration, pages, baseline capture, or quick checks.

Frequently Asked Questions about canary

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

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

Post-deploy canary monitoring automates production app checks by capturing periodic screenshots, scanning for console errors, and measuring performance regressions against a baseline to alert you of anomalies.

What is a canary baseline and when do I need to capture it?▼

A canary baseline is a reference snapshot of performance and error metrics captured before or after deployment. You need it to establish a standard for comparing live production behavior to detect deviations.

Can I run post-deploy verification on specific pages like my dashboard and settings?▼

Yes, post-deploy verification supports a page-set scope that targets specific URLs like your homepage, dashboard, and settings to narrow monitoring and anomaly detection to critical application routes.

How do I start a quick health check for a production web app?▼

Run the canary command with a target URL to start a 10-minute post-deploy monitoring session, using optional flags for duration, page selection, baseline capture, or quick health checks.

Does canary monitoring require a browse daemon to take screenshots?▼

Yes, the canary monitoring process relies on the browse daemon to navigate live URLs, capture periodic screenshots, check console errors, and measure performance metrics for post-deploy verification.

What is the best way to detect performance regressions in production after a release?▼

Automated canary monitoring is ideal for detecting performance regressions, as it compares live metrics against captured baselines and issues anomaly alerts for rapid rollback or investigation.