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canary

Monitors deployed applications for console errors, performance regressions, and page failures.

Updated Jun 16, 2026
Search Tags:#monitoring#screenshots#production#alerting#regression detection#canary#post-deploy
One-click install
npx skills add https://github.com/adamtpang/summon.company --skill canary-adamtpang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/adamtpang/summon.company/tree/main/.claude/skills/canary
Command: npx skills add https://github.com/adamtpang/summon.company --skill canary-adamtpang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? After deploying code, teams often lack immediate visibility into whether the live application is broken. This Skill watches the production app post-deploy, catching console errors, performance regressions, and page failures before users report them. ## Core Features & Use Cases - Post-Deploy Monitoring: Watches the live app via a browse daemon for console errors, page failures, and performance regressions. - Visual Baseline Comparison: Takes periodic screenshots and compares them against pre-deploy baselines to detect visual anomalies. - Anomaly Alerting: Alerts on detected anomalies so issues surface immediately after a release. - Use Case: After shipping a new release, run a canary check to continuously verify production health and get alerted the moment a regression appears. ## Quick Start Ask the agent to monitor the deployment and watch production for errors after the latest release.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor my app after a deployment?▼

Invoke the canary skill after deploying to watch the live app for console errors, performance regressions, and page failures. It uses a browse daemon to take periodic screenshots and compares them against pre-deploy baselines, alerting on anomalies.

What is a canary check for post-deploy verification?▼

A canary check continuously observes the production application right after a release to catch regressions early. This skill automates it by capturing screenshots, diffing them against baselines, and flagging errors or failures.

Can canary monitoring detect visual regressions?▼

Yes. The skill takes periodic screenshots of the live app and compares them against pre-deploy baselines, so unexpected visual changes after a deploy are surfaced as anomalies.

When should I run a post-deploy canary check?▼

Run it immediately after any production deploy or release. Trigger phrases include "monitor deploy", "canary", "post-deploy check", "watch production", and "verify deploy".

What are the limitations of screenshot-based canary monitoring?▼

Screenshot comparison only catches visible changes and console-level errors; it cannot detect backend logic bugs, data corruption, or issues on pages not visited by the browse daemon. Pair it with server-side logging and metrics for full coverage.

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