srstomp/observability
plugins/pokayokay/skills/observability/SKILL.md
Use when adding logging to services, setting up monitoring, creating alerts, debugging production issues, designing SLIs/SLOs, or implementing structured logging (Pino, Winston), metrics (Prometheus, DataDog, CloudWatch), or distributed tracing (OpenTelemetry).
$ install --global
skillsauthnpx skillsauth add srstomp/pokayokay observabilityInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 27, 2026, 7:06 AM132.8s5 files scanned
SKILL.md
- name:
- observability
- description:
- Use when adding logging to services, setting up monitoring, creating alerts, debugging production issues, designing SLIs/SLOs, or implementing structured logging (Pino, Winston), metrics (Prometheus, DataDog, CloudWatch), or distributed tracing (OpenTelemetry).
Observability
Implement the three pillars of observability: logs, metrics, and traces.
The Three Pillars
| Pillar | Purpose | Key Question | |--------|---------|--------------| | Logs | Discrete events with context | What happened? | | Metrics | Aggregated measurements | How much/many? | | Traces | Request flow across services | Where did time go? |
Quick Pick
- Debug specific request? → Logs + Traces
- Alert on thresholds? → Metrics
- Understand system health? → All three
- Starting from zero? → Logs first, then metrics, then traces
Key Principles
- Use structured logging (JSON) with correlation IDs across all services
- Instrument the four golden signals: latency, traffic, errors, saturation
- Define SLIs/SLOs before building dashboards or alerts
- Alert on symptoms (user impact), not causes (CPU usage)
Quick Start Checklist
- Set up structured logger (Pino recommended for Node.js)
- Add request correlation IDs (middleware)
- Instrument key metrics (RED: Rate, Errors, Duration)
- Configure distributed tracing (OpenTelemetry)
- Create dashboards for golden signals
- Set up alerts with appropriate severity levels
References
| Reference | Description | |-----------|-------------| | logging-patterns.md | Structured logging, log levels, Pino/Winston setup | | metrics-guide.md | Prometheus, counters/gauges/histograms, golden signals | | tracing-basics.md | OpenTelemetry, distributed tracing, span design | | alerting-guide.md | Alert design, SLIs/SLOs, severity levels, dashboards |
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