canary

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

Updated May 15, 2026
One-click install
npx skills add https://github.com/tgmarinho/canetaco --skill canary-tgmarinho
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/tgmarinho/canetaco/tree/main/.claude/skills/canary
Command: npx skills add https://github.com/tgmarinho/canetaco --skill canary-tgmarinho

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? After a deploy, teams often ship blind: errors, slow pages, and broken flows surface only when users complain. This Skill watches the live application post-deploy, compares behavior against pre-deploy baselines, and alerts on anomalies before they become incidents. ## Core Features & Use Cases - Live error detection: Watches the production app for console errors and page failures using a browse daemon. - Performance regression checks: Compares post-deploy performance against pre-deploy baselines to catch slowdowns. - Visual anomaly alerts: Takes periodic screenshots and flags differences from baseline captures. - Use Case: After merging and deploying a release, run the canary to watch production for a defined window and get alerted if error rates, load times, or rendered pages deviate from the pre-deploy state. ## Quick Start Ask the assistant to monitor the production deployment for errors and performance regressions 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 deploy for errors?

Run the canary skill after deploying. It watches the live app through a browse daemon, capturing console errors and page failures, and alerts you when behavior deviates from the pre-deploy baseline.

What is a canary check in post-deploy verification?

A canary check observes the production app for a window of time after release, comparing errors, performance, and rendered pages against baselines. It catches regressions before users report them.

Can the canary detect performance regressions automatically?

Yes. It records pre-deploy performance baselines and compares post-deploy measurements against them, flagging slowdowns as anomalies rather than requiring manual timing checks.

Does the canary skill work in plan mode or spawned sessions?

Yes. It defines plan-mode-safe operations and auto-chooses recommended options in spawned sessions without interactive prompts, reporting results as prose when run by an orchestrator.

When should I not rely on canary monitoring alone?

Canary monitoring observes externally visible behavior only. It does not replace pre-deploy testing, code review, or backend log analysis for errors that never surface in the browser.