monitoring-expert

Name: monitoring-expert
Author: Jeffallan

3.8kinstalls971forks

How to install monitoring-expert?

jeffallan/claude-skills/monitoring-expert

$npx -y skills add Jeffallan/claude-skills --skill monitoring-expert

Installs into the current project.

Summary

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 infra

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SKILL.md

1	# Monitoring Expert
2
3	Observability and performance specialist implementing comprehensive monitoring, alerting, tracing, and performance testing systems.
4
5	## Core Workflow
6
7	1. Assess — Identify what needs monitoring (SLIs, critical paths, business metrics)
8	2. Instrument — Add logging, metrics, and traces to the application (see examples below)
9	3. Collect — Configure aggregation and storage (Prometheus scrape, log shipper, OTLP endpoint); verify data arrives before proceeding
10	4. Visualize — Build dashboards using RED (Rate/Errors/Duration) or USE (Utilization/Saturation/Errors) methods
11	5. Alert — Define threshold and anomaly alerts on critical paths; validate no false-positive flood before shipping
12
13	## Quick-Start Examples
14
15	### Structured Logging (Node.js / Pino)
16	```js
17	import pino from 'pino';
18
19	const logger = pino({ level: 'info' });
20
21	// Good — structured fields, includes correlation ID
22	logger.info({ requestId: req.id, userId: req.user.id, durationMs: elapsed }, 'order.created');
23
24	// Bad — string interpolation, no correlation
25	console.log(`Order created for user ${userId}`);
26	```
27
28	### Prometheus Metrics (Node.js)
29	```js
30	import { Counter, Histogram, register } from 'prom-client';
31
32	const httpRequests = new Counter({
33	name: 'http_requests_total',
34	help: 'Total HTTP requests',
35	labelNames: ['method', 'route', 'status'],
36	});
37
38	const httpDuration = new Histogram({
39	name: 'http_request_duration_seconds',
40	help: 'HTTP request latency',
41	labelNames: ['method', 'route'],
42	buckets: [0.05, 0.1, 0.3, 0.5, 1, 2, 5],
43	});
44
45	// Instrument a route
46	app.use((req, res, next) => {
47	const end = httpDuration.startTimer({ method: req.method, route: req.path });
48	res.on('finish', () => {
49	httpRequests.inc({ method: req.method, route: req.path, status: res.statusCode });
50	end();
51	});
52	next();
53	});
54
55	// Expose scrape endpoint
56	app.get('/metrics', async (req, res) => {
57	res.set('Content-Type', register.contentType);
58	res.end(await register.metrics());
59	});
60	```
61
62	### OpenTelemetry Tracing (Node.js)
63	```js
64	import { NodeSDK } from '@opentelemetry/sdk-node';
65	import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http';
66	import { trace } from '@opentelemetry/api';
67
68	const sdk = new NodeSDK({
69	traceExporter: new OTLPTraceExporter({ url: 'http://jaeger:4318/v1/traces' }),
70	});
71	sdk.start();
72
73	// Manual span around a critical operation
74	const tracer = trace.getTracer('order-service');
75	async function processOrder(orderId) {
76	const span = tracer.startSpan('order.process');
77	span.setAttribute('order.id', orderId);
78	try {
79	const result = await db.saveOrder(orderId);
80	span.setStatus({ code: SpanStatusCode.OK });
81	return result;
82	} catch (err) {
83	span.recordException(err);
84	span.setStatus({ code: SpanStatusCode.ERROR });
85	throw err;
86	} finally {
87	span.end();
88	}
89	}
90	```
91
92	### Prometheus Alerting Rule
93	```yaml
94	groups:
95	- name: api.rules
96	rules:
97	- alert: HighErrorRate
98	expr: \|
99	rate(http_requests_total{status=~"5.."}[5m])
100	/ rate(http_requests_total[5m]) > 0.05
101	for: 2m
102	labels:
103	severity: critical
104	annotations:
105	summary: "Error rate above 5% on {{ $labels.route }}"
106	```
107
108	### k6 Load Test
109	```js
110	import http from 'k6/http';
111	import { check, sleep } from 'k6';
112
113	export const options = {
114	stages: [
115	{ duration: '1m', target: 50 }, // ramp up
116	{ duration: '5m', target: 50 }, // sustained load
117	{ duration: '1m', target: 0 }, // ramp down
118	],
119	thresholds: {
120	http_req_duration: ['p(95)<500'], // 95th percentile < 500 ms
121	http_req_failed: ['rate<0.01'], // error rate < 1%
122	},
123	};
124
125	export default function () {
126	const res = http.get('https://api.example.com/orders');
127	check(res, { 'status is 200': (r) => r.status === 200 });
128	sleep(1);
129	}
130	```
131
132	## Reference Guide
133
134	Load detailed guidance based on context:
135
136	\| Topic \| Reference \| Load When \|
137	\|-------\|-----------\|-----------\|
138	\| Logging \| `references/structured-logging.md

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Type

monitoring-expert

3.8kinstalls971forks

View on GitHub

How to install monitoring-expert?

jeffallan/claude-skills/monitoring-expert

$npx -y skills add Jeffallan/claude-skills --skill monitoring-expert

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Monitoring Expert
2
3	Observability and performance specialist implementing comprehensive monitoring, alerting, tracing, and performance testing systems.
4
5	## Core Workflow
6
7	1. Assess — Identify what needs monitoring (SLIs, critical paths, business metrics)
8	2. Instrument — Add logging, metrics, and traces to the application (see examples below)
9	3. Collect — Configure aggregation and storage (Prometheus scrape, log shipper, OTLP endpoint); verify data arrives before proceeding
10	4. Visualize — Build dashboards using RED (Rate/Errors/Duration) or USE (Utilization/Saturation/Errors) methods
11	5. Alert — Define threshold and anomaly alerts on critical paths; validate no false-positive flood before shipping
12
13	## Quick-Start Examples
14
15	### Structured Logging (Node.js / Pino)
16	```js
17	import pino from 'pino';
18
19	const logger = pino({ level: 'info' });
20
21	// Good — structured fields, includes correlation ID
22	logger.info({ requestId: req.id, userId: req.user.id, durationMs: elapsed }, 'order.created');
23
24	// Bad — string interpolation, no correlation
25	console.log(`Order created for user ${userId}`);
26	```
27
28	### Prometheus Metrics (Node.js)
29	```js
30	import { Counter, Histogram, register } from 'prom-client';
31
32	const httpRequests = new Counter({
33	name: 'http_requests_total',
34	help: 'Total HTTP requests',
35	labelNames: ['method', 'route', 'status'],
36	});
37
38	const httpDuration = new Histogram({
39	name: 'http_request_duration_seconds',
40	help: 'HTTP request latency',
41	labelNames: ['method', 'route'],
42	buckets: [0.05, 0.1, 0.3, 0.5, 1, 2, 5],
43	});
44
45	// Instrument a route
46	app.use((req, res, next) => {
47	const end = httpDuration.startTimer({ method: req.method, route: req.path });
48	res.on('finish', () => {
49	httpRequests.inc({ method: req.method, route: req.path, status: res.statusCode });
50	end();
51	});
52	next();
53	});
54
55	// Expose scrape endpoint
56	app.get('/metrics', async (req, res) => {
57	res.set('Content-Type', register.contentType);
58	res.end(await register.metrics());
59	});
60	```
61
62	### OpenTelemetry Tracing (Node.js)
63	```js
64	import { NodeSDK } from '@opentelemetry/sdk-node';
65	import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http';
66	import { trace } from '@opentelemetry/api';
67
68	const sdk = new NodeSDK({
69	traceExporter: new OTLPTraceExporter({ url: 'http://jaeger:4318/v1/traces' }),
70	});
71	sdk.start();
72
73	// Manual span around a critical operation
74	const tracer = trace.getTracer('order-service');
75	async function processOrder(orderId) {
76	const span = tracer.startSpan('order.process');
77	span.setAttribute('order.id', orderId);
78	try {
79	const result = await db.saveOrder(orderId);
80	span.setStatus({ code: SpanStatusCode.OK });
81	return result;
82	} catch (err) {
83	span.recordException(err);
84	span.setStatus({ code: SpanStatusCode.ERROR });
85	throw err;
86	} finally {
87	span.end();
88	}
89	}
90	```
91
92	### Prometheus Alerting Rule
93	```yaml
94	groups:
95	- name: api.rules
96	rules:
97	- alert: HighErrorRate
98	expr: \|
99	rate(http_requests_total{status=~"5.."}[5m])
100	/ rate(http_requests_total[5m]) > 0.05
101	for: 2m
102	labels:
103	severity: critical
104	annotations:
105	summary: "Error rate above 5% on {{ $labels.route }}"
106	```
107
108	### k6 Load Test
109	```js
110	import http from 'k6/http';
111	import { check, sleep } from 'k6';
112
113	export const options = {
114	stages: [
115	{ duration: '1m', target: 50 }, // ramp up
116	{ duration: '5m', target: 50 }, // sustained load
117	{ duration: '1m', target: 0 }, // ramp down
118	],
119	thresholds: {
120	http_req_duration: ['p(95)<500'], // 95th percentile < 500 ms
121	http_req_failed: ['rate<0.01'], // error rate < 1%
122	},
123	};
124
125	export default function () {
126	const res = http.get('https://api.example.com/orders');
127	check(res, { 'status is 200': (r) => r.status === 200 });
128	sleep(1);
129	}
130	```
131
132	## Reference Guide
133
134	Load detailed guidance based on context:
135
136	\| Topic \| Reference \| Load When \|
137	\|-------\|-----------\|-----------\|
138	\| Logging \| `references/structured-logging.md

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6 picks

Type