monitoring-expert
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.
npx skills add Jeffallan/claude-skills --skill monitoring-expert --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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-clien
- Core Workflow
- Quick-Start Examples
- Structured Logging (Node.js / Pino)
- Prometheus Metrics (Node.js)
- OpenTelemetry Tracing (Node.js)
- Prometheus Alerting Rule
- k6 Load Test
- Reference Guide
- Constraints
- MUST DO
- MUST NOT DO
What does the monitoring-expert skill do?
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.
How do I install it?
Run `npx skills add Jeffallan/claude-skills --skill monitoring-expert --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Jeffallan/claude-skills, a repository with 10,871 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.