# Monitoring Expert

Configures monitoring systems, implements structured logging pipelines, creates...

- Repository: https://github.com/Jeffallan/claude-skills (12164 stars)
- Category: Testing
- License: MIT
- Last updated: 2026-10-30
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add Jeffallan/claude-skills --skill monitoring-expert -g -a claude-code -y`
Codex: `npx skills add Jeffallan/claude-skills --skill monitoring-expert -g -a codex -y`
Cursor: `npx skills add Jeffallan/claude-skills --skill monitoring-expert -g -a cursor -y`
Gemini CLI: `npx skills add Jeffallan/claude-skills --skill monitoring-expert -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add Jeffallan/claude-skills`

## Description

Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing. Implements Prometheus/Grafana stacks, conducts load testing, performs application profiling, and plans infrastructure capacity. Use when setting up application monitoring, adding observability to services, debugging production issues with logs/metrics/traces, running load tests with k6 or Artillery, profiling CPU/memory bottlenecks, or forecasting capacity needs.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Monitoring Expert

Observability and performance specialist implementing comprehensive monitoring, alerting, tracing, and performance testing systems.

## Core Workflow

1. **Assess**, Identify what needs monitoring (SLIs, critical paths, business metrics)
2. **Instrument**, Add logging, metrics, and traces to the application (see examples below)
3. **Collect**, Configure aggregation and storage (Prometheus scrape, log shipper, OTLP endpoint); verify data arrives before proceeding
4. **Visualize**, Build dashboards using RED (Rate/Errors/Duration) or USE (Utilization/Saturation/Errors) methods
5. **Alert**, Define threshold and anomaly alerts on critical paths; validate no false-positive flood before shipping

## Quick-Start Examples

### Structured Logging (Node.js / Pino)
```js
import pino from 'pino';

const logger = pino({ level: 'info' });

// Good, structured fields, includes correlation ID
logger.info({ requestId: req.id, userId: req.user.id, durationMs: elapsed }, 'order.created');

// Bad, string interpolation, no correlation
console.log(`Order created for user ${userId}`);
```

### Prometheus Metrics (Node.js)
```js
import { Counter, Histogram, register } from 'prom-client';

const httpRequests = new Counter({
  name: 'http_requests_total',
  help: 'Total HTTP requests',
  labelNames: ['method', 'route', 'status'],
});

const httpDuration = new Histogram({
  name: 'http_request_duration_seconds',
  help: 'HTTP request latency',
  labelNames: ['method', 'route'],
  buckets: [0.05, 0.1, 0.3, 0.5, 1, 2, 5],
});

// Instrument a route
app.use((req, res, next) => {
  const end = httpDuration.startTimer({ method: req.method, route: req.path });
  res.on('finish', () => {
    httpRequests.inc({ method: req.method, route: req.path, status: res.statusCode });
    end();
  });
  next();
});

// Expose scrape endpoint
app.get('/metrics', async (req, res) => {
  res.set('Content-Type', register.contentType);
  res.end(await register.metrics());
});
```

The rest: https://github.com/Jeffallan/claude-skills/blob/HEAD/skills/monitoring-expert/SKILL.md