sentry-skill
Comprehensive skill for Sentry error monitoring and performance tracking. Use when Claude needs to (1) Configure Sentry SDKs for error tracking and performance monitoring, (2) Manage releases, source maps, and debug symbols via CLI, (3) Query issues, events, and metrics via API, (4) Set up alerting and notification rules, (5) Configure sampling strategies and quota management, (6) Deploy self-hosted Sentry instances, (7) Integrate with OpenTelemetry for distributed tracing, or any other Sentry automation task.
tempo
Guide for implementing Grafana Tempo - a high-scale distributed tracing backend for OpenTelemetry traces. Use when configuring Tempo deployments, setting up storage backends (S3, Azure Blob, GCS), writing TraceQL queries, deploying via Helm, understanding trace structure, or troubleshooting Tempo issues on Kubernetes.
opentelemetry
OpenTelemetry observability - use for distributed tracing, metrics, instrumentation, Sentry integration, and monitoring
logging-observability
Guidelines for structured logging, distributed tracing, and debugging patterns across languages. Covers logging best practices, observability, security considerations, and performance analysis.
observability
Logging, metrics, and distributed tracing. OpenTelemetry, Prometheus, Grafana, and production debugging.
monitoring
Master Kubernetes observability, monitoring with Prometheus, logging, metrics, and distributed tracing. Learn to implement comprehensive monitoring strategies.
observability
Distributed tracing with Jaeger, OpenTelemetry, and observability platforms for microservices insights
monitoring-observability
Monitoring and observability strategy, implementation, and troubleshooting. Use for designing metrics/logs/traces systems, setting up Prometheus/Grafana/Loki, creating alerts and dashboards, calculating SLOs and error budgets, analyzing performance issues, and comparing monitoring tools (Datadog, ELK, CloudWatch). Covers the Four Golden Signals, RED/USE methods, OpenTelemetry instrumentation, log aggregation patterns, and distributed tracing.
logging-observability
Comprehensive logging and observability patterns for production systems. Use when implementing structured logging, distributed tracing, metrics collection, or alerting. Triggers: logging, logs, observability, tracing, metrics, OpenTelemetry, correlation ID, spans, alerts, monitoring, JSON logs.
logging-observability
Guidelines for structured logging, distributed tracing, and debugging patterns across languages. Covers logging best practices, observability, security considerations, and performance analysis.
Observability & Monitoring
Structured logging, metrics, distributed tracing, and alerting strategies
correlation-tracing
Implement distributed tracing with correlation IDs, trace propagation, and span tracking across microservices. Use when debugging distributed systems, monitoring request flows, or implementing observability.
