monitoring-apis_skill

Overview

This skill helps you build real-time API monitoring dashboards with metrics, alerts, and health checks. It automates the setup of metric collection, dashboard panels, alert rules, and basic health endpoints. Use it to turn API specs and codebases into observable services quickly.

How this skill works

The skill inspects API specifications, endpoint definitions, and project scaffolding to identify key metrics and health probes to expose. It generates monitoring artifacts such as metric instruments, alert rules, dashboard panels, and health-check endpoints, and suggests integration points for middleware and exporters. It also outlines tests and configuration needed to wire metrics into a monitoring stack.

When to use it

• When you need live visibility into API latency, error rates, throughput, and resource usage
• When launching or operating production APIs that require SLOs and alerts
• When integrating APIs with Prometheus, Grafana, or other observability tools
• When converting OpenAPI specs into monitored endpoints and health checks
• When adding automated alerting for regressions after deployments

Best practices

• Start from documented API specs and resource models to identify critical transactions and endpoints
• Instrument at both request-level (latency, status codes) and system-level (CPU, memory, DB latency) metrics
• Define meaningful alert thresholds and use burn-in windows to avoid noisy alerts
• Expose standardized health endpoints (readiness/liveness) and attach simple probes in orchestration layers
• Write integration tests for metrics and alerts to validate telemetry after changes

Example use cases

• Generate Prometheus-compatible metric instruments for all endpoints and create Grafana dashboards for latency and error trends
• Add readiness and liveness endpoints with dependency checks (DB, cache, external APIs) and wire them to Kubernetes probes
• Create alert rules for high error rates, elevated p95 latency, and low request throughput with automated notification channels
• Scaffold middleware to record timing, request counts, and status buckets for new API routes
• Produce OpenAPI-driven monitoring lists that prioritize endpoints to monitor and test after deployment