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.