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Monitoring Expert — Setup Guide

Source: jeffallan/claude-skills (Community) Skill: monitoring-expert · Installs: 3,900+ · Category: DevOps & Infrastructure Platform: Linux, macOS, Windows

Monitoring Expert is an observability and performance specialist skill that implements comprehensive monitoring, alerting, tracing, and performance testing systems. It covers Prometheus/Grafana stacks, structured logging pipelines, distributed tracing instrumentation, load testing with k6/Artillery, and capacity planning. Ideal for Hermes agents managing infrastructure or debugging production issues.

Installation

npx skills add jeffallan/claude-skills@monitoring-expert

What It Does

The skill follows a four-stage observability workflow:

  1. Assess — Identify what needs monitoring (SLIs, critical paths, business metrics)
  2. Instrument — Add logging, metrics, and traces to applications
  3. Collect — Configure aggregation and storage (Prometheus, log shippers, OTLP)
  4. Visualize — Build dashboards using RED (Rate/Errors/Duration) or USE (Utilization/Saturation/Errors) methods

Prerequisites

Requirement Details
Hermes Agent v1.0+
Target application Access to instrument code
Monitoring stack Prometheus, Grafana, or Datadog (optional)
Load testing tools k6 or Artillery (optional)

Usage with Hermes

Trigger the skill for any observability task:

"Set up application monitoring for our Node.js API"
"Add structured logging to the Python service"
"Create a Grafana dashboard for API latency"
"Run a load test against production with k6"
"Profile CPU/memory bottlenecks in the worker process"
"Define alerting rules for 5xx error rates"

Example: Setting Up API Monitoring

"Configure Prometheus metrics for our Express.js API — track request rate, error rate, and p95 latency"

The skill instruments the application with appropriate metrics libraries, configures scrape endpoints, builds Grafana dashboards, and defines alerting rules.

Core Capabilities

Capability Tools/Frameworks
Metrics collection Prometheus, OpenTelemetry
Visualization Grafana, Datadog
Logging pipelines Structured logging, log shippers
Distributed tracing OpenTelemetry, Jaeger
Load testing k6, Artillery
Profiling CPU/memory profilers
Capacity planning Trend analysis, forecasting

Guardrails

  • Always verify data arrives before building dashboards
  • Use RED method for services, USE method for resources
  • Alert on symptoms, not causes
  • Never alert on raw metrics without aggregation windows

Source