monitoring-expert

Solid

Use when setting up monitoring systems, logging, metrics, tracing, or alerting. Invoke for dashboards, Prometheus/Grafana, load testing, profiling, capacity planning.

AI & Automation 4 stars 0 forks Updated yesterday MIT

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Quality Score: 80/100

Stars 20%
23
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# 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 1. **Assess** - Identify what needs monitoring 2. **Instrument** - Add logging, metrics, traces 3. **Collect** - Set up aggregation and storage 4. **Visualize** - Create dashboards 5. **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 | `re...

Details

Author
zacklecon
Repository
zacklecon/claude-skills
Created
5 months ago
Last Updated
yesterday
Language
Python
License
MIT

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