canary

Monitor live apps post-deploy for console errors and performance regressions.

2|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/adityasingh2400/SwarmSell --skill canary-adityasingh2400
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/adityasingh2400/SwarmSell/tree/main/.claude/skills/canary
Command: npx skills add https://github.com/adityasingh2400/SwarmSell --skill canary-adityasingh2400

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring helps Release Reliability Engineers detect production issues quickly by watching a live app post-deploy, capturing baselines, and surfacing anomalies before users notice.

Core Features & Use Cases

  • Real-time canary monitoring: watch the live app, capture screenshots, check console errors, and measure page performance after deployment.
  • Baseline and anomaly detection: take baseline measurements before changes and compare against current runs to flag regressions.
  • Flexible scope: specify duration, pages, and targeted URLs, with quick feedback on overall health.

Quick Start

Run a canary session against your deployed URL to begin monitoring and alerting.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor a live app for production issues after a deployment?

You can run a canary monitoring session against your deployed URL for a configurable duration, capturing baseline screenshots and checking console errors, performance regressions, and page failures across multiple pages.

How does baseline capture work for detecting performance regressions?

Baseline capture takes measurements before changes are deployed, allowing subsequent canary monitoring runs to compare current live app behavior against the baseline to flag performance regressions and anomalies.

Can I monitor multiple pages and capture screenshots during a canary check?

Yes, canary monitoring supports capturing baseline screenshots and monitoring multiple pages simultaneously, utilizing a live grid of browser agents to provide quick feedback on overall application health.

What is the best way to detect console errors and page failures in production?

Running a post-deploy canary session is an effective way to detect console errors and page failures, leveraging a live grid of browser agents to watch the live app and surface anomalies quickly.

Does canary monitoring support plan-mode safe operations with telemetry output?

Yes, the canary monitoring skill implements plan-mode safe operations and provides structured telemetry output, including optional telemetry and logging, to ensure safe and observable post-deploy checks.