Monitoring

python-observability helps you instrument Python services with structured logging, metrics, traces, correlation IDs, and bounded-cardinality patterns for production debugging and safer observability rollouts.

grafana-dashboards helps agents design production Grafana dashboards for observability. Use it to plan RED and USE-based layouts, choose panel hierarchy, and draft dashboard structure for Prometheus-style metrics.

prometheus-configuration helps you install and use Prometheus for scraping, retention, alerting, and recording rules across Kubernetes, Docker Compose, and server setups.

Use the slo-implementation skill to define SLIs, SLOs, error budgets, and burn-rate alerts for Reliability work. It helps teams turn service goals into measurable targets with PromQL-style examples and practical guidance from SKILL.md.

Use the distributed-tracing skill to design and explain request tracing across microservices with Jaeger and Tempo. Covers install basics, trace and span concepts, Kubernetes setup patterns, context propagation, and practical usage for observability and latency debugging.

appinsights-instrumentation helps instrument Azure-hosted web apps with Application Insights. It guides App Service auto-instrumentation or manual ASP.NET Core and Node.js setup, including connection string and IaC updates.

The alert-manager skill helps teams design SEO and GEO alert frameworks for ranking drops, traffic anomalies, technical issues, competitor changes, and AI visibility shifts using threshold guides and reusable templates.