Agent skill
observability
Implement observability solutions. Use when setting up monitoring, logging, or tracing. Covers OpenTelemetry, metrics, and alerting.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/observability-dralgorhythm-claude-agentic-frame
SKILL.md
Observability
Three Pillars
1. Logs
Discrete events with context.
{
"timestamp": "2024-01-01T12:00:00Z",
"level": "error",
"message": "Failed to process order",
"orderId": "123",
"error": "Payment declined",
"traceId": "abc123"
}
2. Metrics
Numeric measurements over time.
http_requests_total{method="GET", status="200"} 1234
http_request_duration_seconds{quantile="0.95"} 0.23
3. Traces
Request flow through services.
Trace: abc123
├── API Gateway (50ms)
│ ├── Auth Service (10ms)
│ └── Order Service (35ms)
│ └── Database (20ms)
OpenTelemetry Setup
import { NodeSDK } from '@opentelemetry/sdk-node';
import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http';
const sdk = new NodeSDK({
traceExporter: new OTLPTraceExporter({
url: 'http://collector:4318/v1/traces',
}),
serviceName: 'my-service',
});
sdk.start();
Key Metrics
RED Method (Request-focused)
- Rate: Requests per second
- Errors: Failed requests per second
- Duration: Request latency
USE Method (Resource-focused)
- Utilization: % time busy
- Saturation: Queue depth
- Errors: Error count
Alerting
Good Alerts
- Actionable: Something can be done
- Urgent: Needs immediate attention
- Specific: Clear what's wrong
Alert Template
alert: HighErrorRate
expr: rate(http_requests_total{status=~"5.."}[5m]) > 0.01
for: 5m
labels:
severity: critical
annotations:
summary: "High error rate on {{ $labels.service }}"
description: "Error rate is {{ $value | humanizePercentage }}"
Dashboards
Essential panels:
- Request rate
- Error rate
- Latency (P50, P95, P99)
- Saturation (CPU, memory)
- Active alerts
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