What monitoring tools does this skill support?

This skill primarily focuses on the industry-standard LGTM stack, specifically Prometheus for metrics, Grafana for visualization, and Loki for log aggregation.

Does it include alerting best practices?

Absolutely. It provides guidance on creating actionable alert rules and emphasizes the importance of setting up runbooks and monitoring the 'Four Golden Signals'.

Can it help with application-level instrumentation?

Yes, it provides specific code patterns and patterns for instrumenting applications using libraries like prom-client and winston to capture custom business and performance metrics.

Is this skill compatible with cloud-native environments?

Yes, the patterns provided are designed for modern, scalable infrastructure including Kubernetes, containerized applications, and cloud-based services.

Infrastructure Monitor

Name: Infrastructure Monitor
Author: armanzeroeight

byarmanzeroeight

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Analytics & Monitoring

Implement comprehensive observability through metrics tracking, structured logging, and automated alerting systems.

About

The Infrastructure Monitor skill empowers Claude to assist developers in building robust observability stacks for their applications and infrastructure. It provides expert guidance on instrumenting applications with Prometheus, configuring dashboard visualizations in Grafana, managing structured logs with Loki, and setting up critical alert rules. By following industry best practices like the 'Golden Signals' framework, this skill helps teams maintain system health, identify performance bottlenecks, and ensure rapid response to production incidents through data-driven insights.

Key Features

Grafana dashboard setup for key performance indicators
Observability best practices including 'Golden Signals' monitoring
Structured logging implementation using Loki and Winston
19 GitHub stars
Prometheus metrics instrumentation and scrape configuration
Automated alerting rules for proactive incident management

Use Cases

Establishing production-ready alerting systems to reduce Mean Time to Resolution (MTTR)
Debugging performance bottlenecks using real-time metrics and log aggregation
Setting up a full observability stack for a new microservices architecture

About

Key Features

Grafana dashboard setup for key performance indicators
Observability best practices including 'Golden Signals' monitoring
Structured logging implementation using Loki and Winston
19 GitHub stars
Prometheus metrics instrumentation and scrape configuration
Automated alerting rules for proactive incident management

Use Cases

Establishing production-ready alerting systems to reduce Mean Time to Resolution (MTTR)
Debugging performance bottlenecks using real-time metrics and log aggregation
Setting up a full observability stack for a new microservices architecture