Discover tools monitoring skills, compare source repositories and read the instructions for each workflow.
Set up logging, metrics, distributed tracing, and alerting for GKE applications. Use when configuring Cloud Logging, creating dashboards in Cloud Monitoring, instrumenting Spring Boot with metrics, setting up a...
Django health check configuration and patterns using django-health-check for system monitoring, Docker healthchecks, and Kubernetes probes. Trigger: When implementing health checks, monitoring endpoints, or rea...
Production monitoring and observability for LLM applications with AgentOps session tracking, Google Cloud Observability integration, and Dynatrace monitoring. Provides real-time performance metrics, error track...
Define and monitor Service Level Indicators (SLIs) and Service Level Objectives (SLOs) using Micrometer histograms. Use when implementing availability and latency SLOs, creating SLO-aligned histogram buckets, m...
Set up Google Analytics 4 with DSGVO-compliant cookie consent banner. Use when analytics tracking is needed. Triggers on "analytics", "GA4", "Google Analytics", "cookie consent", "tracking".
Add OpenTelemetry instrumentation to service methods for distributed tracing and observability. Use when adding new service methods, debugging complex flows, investigating performance issues, or need distribute...
Progress reporting and dashboard creation
Analyze OpenTelemetry logs with trace reconstruction, error analysis, and AI-powered debugging. Use when investigating errors, checking logs, debugging issues, viewing traces, or analyzing execution flow. Works...
Implement domain-specific KPI metrics for business operations like charges, invoices, payments. Use when instrumenting service layer operations, measuring business process outcomes, implementing SLI/SLO monitor...
strategies for agent observability (logging, tracing, metrics). Use this to instrument agents for debugging, performance tracking, and quality assurance.
Create and configure Home Assistant graphs and visualizations including history-graph, statistics-graph, mini-graph-card (HACS), and apexcharts-card (HACS) with time ranges, multiple sensors, aggregations, and...
Set up Micrometer metrics in a Spring Boot service from scratch, including dependencies, Actuator configuration, and registry customization. Use when starting a new microservice, configuring metrics export back...
Implement type-safe Kafka producers for event streaming with msgspec serialization. Use when building async/await producers that publish domain events (orders, transactions, etc.) with schema validation, error...
Prevent OutOfMemoryError from unbounded metric tags by implementing cardinality limits. Use when adding tags to Micrometer metrics, normalizing URIs or IDs to bounded categories, monitoring metric explosion, or...
JSON-based structured logging for audit trails and debugging. Use for logging all agent operations, quality metrics, errors, and execution times with daily rotation and automatic cleanup.
Detect and alert on emerging anomalies and risk flags from pilot metrics and data streams. Use when monitoring live data, threshold breaches, or statistical outliers to trigger governance reviews and corrective...
Implement OpenTelemetry (OTEL) logging with trace context correlation and structured logging. Use when setting up production logging with OTEL exporters, structlog/loguru integration, trace context propagation,...
Logs development sessions in real-time to track decisions and issues.
Progress reporting and dashboard creation
Designs audit trails and security telemetry for fast detection and response, aligned with OWASP Logging Cheat Sheet.
Monitoring and observability expert. Logging, metrics, error tracking, health checks. Use for production monitoring setup.
Create dashboards with KPIs and real-time metrics.
Blazing fast structured logging from Uber.
Add or improve observability (logs, metrics, traces, alerts) and troubleshoot production or performance issues. Use when diagnosing incidents, defining SLOs, or instrumenting critical paths.
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.