observability-designer

Design SLI and SLO frameworks by defining meaningful service indicators, setting reliability targets, and calculating error budgets. Provide service definitions and monitoring context to generate deterministic, Python-backed recommendations with operational guidance for your applications.

Optimize alerting by reviewing existing rules for noise, missing coverage, and duplicate conditions. Input your alert configurations to receive an optimization plan that adds missing runbook context and ensures your alerts are actionable.

Generate role-aware dashboards by providing service definitions and monitoring context to produce dashboard specifications tailored for SRE, developer, executive, and operations workflows. This yields Grafana-ready dashboard layouts for APIs, databases, and queues.

Yes, you can build observability strategies for batch jobs and machine learning services. The skill designs monitoring plans, defines SLIs, and generates alert configurations specifically tailored for these specialized workloads alongside standard web apps.

Yes, providing service definitions, alert configurations, and monitoring context is required. The skill uses these inputs to produce deterministic recommendations, ensuring the resulting observability strategy matches your actual production environment.

Dashboards often lack role-aware visibility because they are not tailored to specific workflows. Generate role-aware dashboard specifications for SRE, developer, executive, and operations teams by supplying your service definitions and monitoring context.