grafana-billing
Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.
Discover blockchain monitoring skills, compare source repositories and read the instructions for each workflow.
Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.
Production monitoring, observability, SLO/SLI management, and incident response. Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response, SLO, SLI, error budget, Prometheus...
Sentry error monitoring and user behavior tracking via CLI. Use when: (1) debugging user-reported issues, (2) checking recent errors/crashes, (3) tracing user actions before an error occurred, (4) searching iss...
Configure OpenTelemetry tracing, metrics, and structured logging for DAPR applications. Integrates with Azure Monitor, Jaeger, Prometheus, and other observability backends.
Automatically validate DAPR configuration files (dapr.yaml, component YAML files) when they are created or modified. Checks for schema compliance, missing required fields, invalid values, and common misconfigur...
Proactively detect and diagnose DAPR runtime issues based on error patterns, log analysis, and common misconfigurations. Provides immediate solutions for service invocation failures, state management issues, pu...
Comprehensive distributed tracing with Jaeger, Zipkin, OpenTelemetry, correlation IDs, and span design.
Production observability with structured logging, metrics collection, distributed tracing, and alerting
The agent implements Kubernetes container orchestration with deployments, services, Helm charts, and production patterns. Use when deploying containerized applications, configuring autoscaling, managing secrets...
Advanced service mesh implementation with Istio, Linkerd, traffic management, mTLS, and observability.
Use when you want to check semantic search server status, indexing progress, or watcher state
Structured logging, metrics, distributed tracing, and alerting strategies
Production observability with tracing, OpenTelemetry, and Prometheus metrics including structured logging, instrumented functions, distributed tracing, health checks, and request correlation. Use when adding lo...
Observability stack with Prometheus, Grafana, and alerting.
Enterprise Application Monitoring with AI-powered observability architecture, Context7 integration, and intelligent performance orchestration for scalable modern applications
Enterprise Go for systems and network programming Go 1.25.4, Fiber v3, gRPC, context patterns, goroutine orchestration, standard library mastery; activates for REST APIs, microservices, concurrent systems, back...
AI-powered enterprise debugging orchestrator with Context7 integration, intelligent error pattern recognition, automated root cause analysis, predictive fix suggestions, and multi-process debugging coordination...
Monitors Lighthouse scores and JavaScript bundle sizes across deployments with automated alerts when performance thresholds are exceeded. This skill should be used when setting up performance monitoring, enforc...
This skill should be used when adding error tracking and performance monitoring with Sentry and OpenTelemetry tracing to Next.js applications. Apply when setting up error monitoring, configuring tracing for Ser...
Log an observation (measurement, state, or event). Use when recording factual observations during work execution. Triggers on "log observation", "record observation", "note finding", "capture state".
Check resource usage (CPU, memory) on cluster nodes. Used to identify nodes under pressure. Keywords: node resources, cpu, memory, capacity, pressure, metrics, cluster health.
Track and analyze usage metrics with timestamped logging
Check resource usage (CPU, memory) on cluster nodes. Used to identify nodes under pressure. Keywords: node resources, cpu, memory, capacity, pressure, metrics, cluster health.
Log a daily check assessment for developer experience. Captures good/bad day indicators from C-6/C-7 research. Triggers on "daily check", "end of day check", "session check", "how was today".
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.