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AlejandroFigini
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canary

Detect runtime errors and performance regressions in live deployments via Bash probes.

Updated Mar 27, 2026
Search Tags:#monitoring#production#alerts#canary#error-detection#post-deploy
One-click install
npx skills add https://github.com/AlejandroFigini/artist-portfolio --skill canary-alejandrofigini
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/AlejandroFigini/artist-portfolio/tree/main/.agent/skills/canary
Command: npx skills add https://github.com/AlejandroFigini/artist-portfolio --skill canary-alejandrofigini

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring helps detect production issues that slip past tests by watching live app behavior and alerting on anomalies.

Core Features & Use Cases

  • Live error and performance monitoring across deployments
  • Periodic baseline comparisons against pre-deploy measurements
  • Automated alerts when anomalies are detected, with actionable details

Quick Start

Run the canary monitor after deploying to start collecting baselines and triggering alerts.

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 and how does it detect production errors?▼

Post-deploy canary monitoring observes live deployments by sampling production traffic and comparing runtime behavior against pre-deploy baselines to detect production errors and performance regressions that slip past tests.

How do I monitor a live deployment for runtime anomalies after a release?▼

Run the canary monitor after deploying to start collecting baselines, sample live traffic, and trigger automated alerts with actionable details when anomalies or performance regressions are detected in production.

Can I use interactive prompts during post-deploy canary monitoring?▼

Yes, the canary monitoring workflow integrates AskUserQuestion for interactive prompts when needed, alongside a Bash-based probe workflow using Read, Write, and Glob interfaces to observe production behavior.

What's the best way to catch performance regressions that pass automated tests?▼

Canary monitoring catches performance regressions by operating in post-deploy scenarios to watch live app behavior, compare periodic baselines against pre-deploy measurements, and alert on detected anomalies.

Does canary monitoring require any external dependencies or components?▼

No external dependencies or components are required; the canary monitor implements a self-contained Bash-based probe workflow with gstack integration for post-deploy production monitoring and alerting.

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