skills/operations/operations-monitoring/SKILL.md
Monitors production logs, metrics, and alerts; detects anomalies; surfaces health status. Use when reviewing production health, investigating a spike in errors or latency, setting up observability for a new service, or verifying post-deploy stability.
npx skillsauth add pkuppens/pkuppens operations-monitoringInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Provides structured observability of production systems: logs, metrics, alerts, and health.
When to use:
Instructions:
Identify observability signals available in the repo:
docker logs, structured JSON logs, cloud provider log viewer/metrics, uptime checks, response time histogramsGET /health returning {"status": "ok", "version": "..."}Check health (always first):
curl -sf https://<host>/health | jq .
Expected: {"status": "ok"} with HTTP 200.
Review recent logs for errors and warnings:
docker logs --since 15m <container> | grep -E "ERROR|WARN|Exception"
Flag: repeated error patterns, stack traces, connection timeouts.
Check key metrics:
Anomaly detection:
Document findings in tmp/operations/monitoring-<date>.md:
Output format:
## Monitoring Report — <date>
- Health: ✅ OK / ⚠️ degraded / ❌ down
- Error rate: <value>% (baseline: <value>%)
- P95 latency: <value>ms (baseline: <value>ms)
- Notable patterns: <list>
- Action items: <list or "none">
Integration: Triggered after deployment-release. Feeds operations-incident if anomalies found. See COOPERATION.md.
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