Monitor live apps for console errors, performance regressions, and page failures.
npx skills add https://github.com/binfen1/my-skills --skill canary-binfen1
Please help me install this Agent Skill. Skill: canary Source: https://github.com/binfen1/my-skills/tree/main/claude-code/canary Command: npx skills add https://github.com/binfen1/my-skills --skill canary-binfen1
Post-deploy canary monitoring identifies issues in live apps by watching for console errors, performance regressions, and page failures. It helps teams detect regressions early after deployment.
Run the canary post-deploy check after deploying to start monitoring and establish a baseline automatically.
High-intent search queries and answers about installing and using this skill.
Post-deploy monitoring uses a browse daemon to continuously watch live apps for console errors, latency spikes, and page failures. It takes periodic screenshots and compares them against pre-deploy baselines to surface regressions early after deployment.
Canary monitoring detects post-deploy anomalies by comparing live application screenshots against established pre-deploy baselines. This browse daemon workflow identifies visual regressions, page failures, and performance issues, triggering alerts to accelerate incident response.
To establish a pre-deploy baseline for post-deploy checks, run the canary monitoring workflow before deployment. It automatically captures baseline screenshots of the live app, which are later compared against post-deploy states to detect anomalies.
Yes, canary monitoring automates incident response alerts by tying anomaly detection directly into the deployment workflow. When the browse daemon detects console errors or page failures during production watches, it triggers alerts immediately.
Yes, canary monitoring operates without external dependencies. It relies entirely on its internal browse daemon workflow to take periodic screenshots, compare them against pre-deploy baselines, and alert on detected anomalies during production watches.
ShmurdocMonitor live production apps for console errors and visual regressions after deployment.
yalishevantAutomate structured incident response planning for Kotlin and Spring services.
SnakeODiagnose Angular runtime errors using DevTools, ng.probe, and console utilities.
vib795Monitor live production endpoints for console errors and performance regressions.
