sre-monitoring-and-observability
Use when building comprehensive monitoring and observability systems.
Discover blockchain monitoring skills, compare source repositories and read the instructions for each workflow.
Use when building comprehensive monitoring and observability systems.
Automatically discover observability and monitoring skills when working with monitoring. Activates for observability development tasks.
Automatically discover proxy skills when working with forward/reverse proxies, nginx, traefik, envoy, caching, or NATS messaging
Use dtctl CLI tool for querying observability data in Dynatrace via DQL (logs, metrics, traces, ...) and to manage Dynatrace platform resources (workflows, dashboards, notebooks, SLOs, settings, buckets, lookup...
Search logs and codebases for error patterns, stack traces, and anomalies. Use when debugging issues, analyzing logs, or investigating production errors.
Handle production incidents with urgency. Use when production issues occur for debugging, fixes, and post-mortems.
Establishes instrumentation, monitoring, and alerting foundations.
Use when designing Universal CI/CD, Multi-Cloud Infrastructure, or Observability systems.
Implement PostHog analytics, feature flags, and session replay for Next.js apps. Use this skill for event tracking, user identification, A/B testing, experiments, and session recording setup. Also handles analy...
Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.
Migrate DSPy GEPA usage in DSPy from the original to gepa-observable. This makes it possible for teams to clearly review each iteration and the lineage to understand how their prompt is evolving. The repository...
This skill should be used when the user asks to "create event", "event rule", "alert", "event correlation", "metric", "monitoring integration", "SNMP trap", or any ServiceNow Event Management development.
This skill should be used when the user asks to "create indicator", "performance analytics", "PA", "KPI", "dashboard widget", "breakdown", "threshold", "scorecard", or any ServiceNow Performance Analytics devel...
Cloudflare Workers observability with logging, Analytics Engine, Tail Workers, metrics, and alerting. Use for monitoring, debugging, tracing, or encountering log parsing, metric aggregation, alert configuration...
Structured logging with proper levels, context, PII handling, centralized aggregation. Use for application logging, log management integration, distributed tracing, or encountering log bloat, PII exposure, miss...
Use this skill when you need to search Datadog logs, query metrics, tail logs in real-time, trace distributed requests, investigate errors, compare time periods, find log patterns, check service health, or expo...
SEPilot Desktop의 에러 처리 및 로깅 패턴. 예외 처리, 에러 보고, 로깅, 사용자 피드백 패턴을 다룹니다. Frontend/Backend 에러 처리, IPC 에러 전파, 로그 관리를 전문으로 합니다.
Comprehensive observability and monitoring skill covering Prometheus, Grafana, metrics collection, alerting, exporters, PromQL, and production monitoring patterns for distributed systems and cloud-native applic...
Grade component health based on regression triage metrics for OpenShift releases
Health checks, metrics, alerting ve rollback stratejileri.
Generates structured logging infrastructure using os.log/Logger to replace print() statements. Use when user wants to add proper logging, replace print statements, or set up app logging.
Generates protocol-based error/crash monitoring with swappable providers (Sentry, Crashlytics). Use when user wants to add crash reporting, error tracking, or production monitoring.
Generates protocol-based analytics infrastructure with swappable providers (TelemetryDeck, Firebase, Mixpanel). Use when user wants to add analytics, track events, or set up telemetry.
RFC-34 compliant structured logging standards for Java services. Covers JSON log format, structured arguments, required fields, and Logback configuration. Use when implementing or reviewing logging in Java serv...
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.