feature-audit
Runtime behavior auditing through systematic log injection. Use when user wants to understand what code is doing at runtime, debug complex flows, or audit a process.
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Runtime behavior auditing through systematic log injection. Use when user wants to understand what code is doing at runtime, debug complex flows, or audit a process.
Read and manage daplug configuration from CLAUDE.md using blocks, with legacy fallback and migration support.
Create a new configuration profile
Router skill for ClickHouse diagnostics. Runs a quick overview and chains to other skills based on findings.
Real-time monitoring of ClickHouse metrics, events, and asynchronous metrics. Use for load average, connections, queue monitoring, and resource saturation.
Add business metrics using AWS EMF (Embedded Metric Format) to API endpoints. Focus on domain-specific metrics only - AWS AppRunner provides default SLO/SLA metrics. Use when implementing new endpoints, adding...
Observe and report on Prometheus installation state, active alerts, AlertManager configuration, and rule evaluation status. Trigger with /prometheus-status
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring...
Configure and manage data quality tests, profiling, alerts, and incidents in OpenMetadata. Use when setting up quality tests, configuring profiler workflows, creating observability alerts, or triaging data qual...
Create and manage Grafana dashboards for Claude Code observability. Use when importing pre-built dashboards or creating custom visualizations.
Integrate Playwright tests with OpenTelemetry, Grafana, Prometheus, Loki, and Tempo. Use when debugging test failures across distributed systems, measuring test performance, creating test dashboards, or correla...
Enable and configure Claude Code OTEL telemetry for local or Railway observability stacks. Use when setting up Claude Code to send metrics, logs, and traces to observability backends.
Configure Grafana alerts for Claude Code anomalies and thresholds. Use when setting up monitoring alerts for sessions, errors, context usage, or subagents.
Query and analyze Claude Code observability data (metrics, logs, traces). Use when analyzing performance, costs, errors, tool usage, sessions, conversations, or subagents.
Railway log access and analysis for debugging and monitoring. Covers build logs, deploy logs, runtime logs, HTTP logs, filtering, search, and external export. Use when viewing logs, debugging Railway deployment...
Comprehensive Claude Code telemetry via 10 hooks capturing sessions, conversations, tools, subagents, context, permissions, and repository analytics. Use when analyzing detailed usage patterns beyond default OT...
Railway.com built-in metrics, monitoring dashboards, alerting (Pro plan), and external OTEL integration with Grafana. Use when setting up monitoring, creating dashboards, configuring alerts, integrating Prometh...
Manage observability stack lifecycle (start, stop, backup, restore, upgrade). Use when controlling the LGTM stack for Claude Code monitoring.
EKS observability with metrics, logging, and tracing. Use when setting up monitoring, configuring logging pipelines, implementing distributed tracing, building production dashboards, troubleshooting EKS issues,...
Complete feedback loop from observability insights to skill updates. Use when analyzing enhanced telemetry patterns and automatically improving skills.
Automated LGTM + Alloy observability stack deployment using Docker Compose. Use when setting up Claude Code observability infrastructure locally.
Deploy LGTM observability stack to Railway cloud. Use when deploying cloud-hosted observability with team access.
Analyze projects and recommend observability integration. Use when adding observability to projects Claude Code works on.
Spring Boot 4 observability with Actuator, Micrometer, and OpenTelemetry. Use when configuring health indicators, custom metrics, distributed tracing, production endpoint exposure, or Kubernetes/Cloud Run probe...
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.