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canary

Monitor live production apps for console errors and performance regressions.

1|Updated Mar 23, 2026
Search Tags:#monitoring#production#observability#reliability#alerts#canary#baselines
One-click install
npx skills add https://github.com/txema-puch/drone-ai-saturdays --skill canary-txema-puch
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/txema-puch/drone-ai-saturdays/tree/main/.claude/skills/gstack/canary
Command: npx skills add https://github.com/txema-puch/drone-ai-saturdays --skill canary-txema-puch

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring for production apps. It watches the live app for console errors, performance regressions, and page failures using the browse daemon, takes periodic screenshots, compares against pre-deploy baselines, and alerts on anomalies.

Core Features & Use Cases

  • Baseline capture and comparison to detect regressions across production deployments.
  • Real-time monitoring of console errors, performance metrics, and page failures using the browse daemon.
  • Automated screenshots and baselines to anchor alerts and post-deploy validation.
  • Clear alerting and reporting to guide quick investigation or rollback after deploy.

Quick Start

Run the canary skill against your deployed URL to begin 10-minute live monitoring.

Frequently Asked Questions about canary

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

FAQPage Schema
What is post-deploy canary monitoring for production apps?▼

Post-deploy canary monitoring watches a live app for console errors, performance regressions, and page failures, comparing current results against pre-deploy baselines to detect regressions quickly and trigger alerts.

How do I detect performance regressions after a production deployment?▼

You detect performance regressions by running live monitoring against your deployed URL, which captures baselines, takes periodic screenshots, and alerts on anomalies like page failures or console errors.

Do I need a browse daemon to monitor live apps for console errors?▼

Yes, the browse daemon is required to monitor live apps. It drives real-time page discovery, captures performance metrics, and compares current results against configured baselines to trigger alerts.

Can I configure the monitoring duration for post-deploy validation?▼

Yes, monitoring duration is configurable. The default quick start runs a 10-minute live monitoring session against your deployed URL to capture baselines and detect post-deploy issues.

How does baseline comparison work when detecting production regressions?▼

Baseline comparison anchors post-deploy validation by capturing screenshots and metrics before deployment, then comparing live results against those baselines to identify anomalies and guide quick rollback decisions.

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