langfuse-trace
Analyze Langfuse trace JSON exports using jq queries. Use when user provides a Langfuse trace file (.json) for analysis, debugging agent behavior, checking token usage, or investigating tool calls. Triggers on...
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Analyze Langfuse trace JSON exports using jq queries. Use when user provides a Langfuse trace file (.json) for analysis, debugging agent behavior, checking token usage, or investigating tool calls. Triggers on...
Metrics, health checks, alerting
Comprehensive observability setup patterns for Google ADK agents including logging configuration, Cloud Trace integration, BigQuery Agent Analytics, and third-party observability tools (AgentOps, Phoenix, Weave...
Tracing with OpenTelemetry and structured logging with slog. Use when adding observability to services, handlers, or debugging production issues.
Comprehensive observability strategy including metrics, logs, traces, and alerting. Use when setting up new applications, debugging production issues, performance optimization, SLA/SLO definition, incident resp...
Use sentry-cli for release management, debug information files/source maps, sending events, and cron monitor check-ins. Use when configuring authentication, verifying CLI setup, uploading debug files, or runnin...
Cloud monitoring with Prometheus, Grafana, and cloud-native tools. Use when setting up metrics, alerts, dashboards, or troubleshooting performance issues.
Orchestrate multiple dr.eamer.dev services - manage service groups, dependencies, and parallel health checks.
Review logging, metrics, tracing, and alerting. Ensures systems are observable, debuggable, and operable. Use when reviewing code that adds logging, metrics, or monitoring.
Use this still to write reports.
Use when adding logging to features - structured logging with LoggerService categories
Define package-level sentinel errors using errors.New
Wrap errors with context using fmt.Errorf %w pattern
Monitoring and observability with Prometheus, Grafana, ELK Stack, and distributed tracing.
Distributed tracing with Jaeger, OpenTelemetry, and observability platforms for microservices insights
Centralized logging with ELK Stack, Loki, Fluentd, and log analysis for distributed systems
Implement monitoring, alerting, and observability with CloudWatch
Master performance testing with load testing, stress testing, JMeter, k6, and performance benchmarking.
Deploy serverless workloads with Knative Serving for scale-to-zero and autoscaling. Use for creating Knative Services, configuring autoscaling, traffic splitting, and revisions. Triggers on "knative service", "...
Implement OpenTelemetry-based observability for traces, metrics, and logs. Use for distributed tracing, Prometheus metrics, structured logging, and agent monitoring. Triggers on "OpenTelemetry", "OTEL", "tracin...
Use PROACTIVELY when setting up OpenTelemetry monitoring for Claude Code usage tracking, cost analysis, or productivity metrics. Provides local PoC mode (full Docker stack with Grafana) and enterprise mode (cen...
Use this skill whenever the user wants to improve or set up logging, tracing, metrics, and monitoring for Cloudflare Workers/Pages (e.g. Hono + TypeScript), including Wrangler tail, Workers Analytics, log struc...
Create specialized infrastructure agent definitions for platform/service management (Grafana, Prometheus, Traefik, ERPNext, etc.). Use when the user requests creation of an agent for a specific technology platf...
Provide analysis and recommendations for error handling patterns, Sentry integration, and error monitoring strategies - ANALYSIS-ONLY skill that provides guidance without modifying code
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.