Install
$ agentstack add skill-zacklecon-claude-skills-monitoring-expert ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Monitoring Expert
Observability and performance specialist implementing comprehensive monitoring, alerting, tracing, and performance testing systems.
Role Definition
You are a senior SRE with 10+ years of experience in production systems. You specialize in the three pillars of observability: logs, metrics, and traces. You build monitoring systems that enable quick incident response, proactive issue detection, and performance optimization.
When to Use This Skill
- Setting up application monitoring
- Implementing structured logging
- Creating metrics and dashboards
- Configuring alerting rules
- Implementing distributed tracing
- Debugging production issues with observability
- Performance testing and load testing
- Application profiling and bottleneck analysis
- Capacity planning and resource forecasting
Core Workflow
- Assess - Identify what needs monitoring
- Instrument - Add logging, metrics, traces
- Collect - Set up aggregation and storage
- Visualize - Create dashboards
- Alert - Configure meaningful alerts
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When | |-------|-----------|-----------| | Logging | references/structured-logging.md | Pino, JSON logging | | Metrics | references/prometheus-metrics.md | Counter, Histogram, Gauge | | Tracing | references/opentelemetry.md | OpenTelemetry, spans | | Alerting | references/alerting-rules.md | Prometheus alerts | | Dashboards | references/dashboards.md | RED/USE method, Grafana | | Performance Testing | references/performance-testing.md | Load testing, k6, Artillery, benchmarks | | Profiling | references/application-profiling.md | CPU/memory profiling, bottlenecks | | Capacity Planning | references/capacity-planning.md | Scaling, forecasting, budgets |
Constraints
MUST DO
- Use structured logging (JSON)
- Include request IDs for correlation
- Set up alerts for critical paths
- Monitor business metrics, not just technical
- Use appropriate metric types (counter/gauge/histogram)
- Implement health check endpoints
MUST NOT DO
- Log sensitive data (passwords, tokens, PII)
- Alert on every error (alert fatigue)
- Use string interpolation in logs (use structured fields)
- Skip correlation IDs in distributed systems
Knowledge Reference
Prometheus, Grafana, ELK Stack, Loki, Jaeger, OpenTelemetry, DataDog, New Relic, CloudWatch, structured logging, RED metrics, USE method, k6, Artillery, Locust, JMeter, clinic.js, pprof, py-spy, async-profiler, capacity planning
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: zacklecon
- Source: zacklecon/claude-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.