๐กMonitoring Skills
Browse the best Monitoring skills for Claude Code, Codex, Cursor and other AI agents.
595 skills ยท Page 1 of 25
observability-monitoring
Comprehensive observability and monitoring skill covering Prometheus, Grafana, metrics collection, alerting, exporters, PromQL, and production monitoring patterns for distributed systems and cloud-native applications
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.
observability-monitoring
Structured logging, metrics, distributed tracing, and alerting strategies
observability-sre
Observability and SRE expert. Use when setting up monitoring, logging, tracing, defining SLOs, or managing incidents. Covers Prometheus, Grafana, OpenTelemetry, and incident response best practices.
observability-monitoring
Structured logging, metrics, distributed tracing, and alerting strategies
groq-observability
Set up comprehensive observability for Groq integrations with metrics, traces, and alerts.Use when implementing monitoring for Groq operations, setting up dashboards,or configuring alerting for Groq integration health.Trigger with phrases like "groq monitoring", "groq metrics","groq observability", "monitor groq", "groq alerts", "groq tracing".
sre-engineer
Use when defining SLIs/SLOs, managing error budgets, or building reliable systems at scale. Invoke for incident management, chaos engineering, toil reduction, capacity planning. Keywords: SRE, site reliability, SLO, SLI, error budget, incident management, chaos engineering.
logging-observability
Guidelines for structured logging, distributed tracing, and debugging patterns across languages. Covers logging best practices, observability, security considerations, and performance analysis.
braiins-ecosystem
Unified Braiins ecosystem skill covering all Bitcoin mining tools - OS firmware, Pool, Toolbox, Manager, Proxy, and Insights calculator
drone-inspection-specialist
Advanced CV for infrastructure inspection including forest fire detection, wildfire precondition assessment, roof inspection, hail damage analysis, thermal imaging, and 3D Gaussian Splatting reconstruction. Expert in multi-modal detection, insurance risk modeling, and reinsurance data pipelines. Activate on "fire detection", "wildfire risk", "roof inspection", "hail damage", "thermal analysis", "Gaussian Splatting", "3DGS", "insurance inspection", "defensible space", "property assessment", "catastrophe modeling", "NDVI", "fuel load". NOT for general drone flight control, SLAM, path planning, or sensor fusion (use drone-cv-expert), GPU shader development (use metal-shader-expert), or generic object detection without inspection context (use clip-aware-embeddings).
rust-tracing
Rust tracing and structured logging with the tracing ecosystem. Use when adding logging, instrumenting functions, setting up observability, configuring log output, or debugging with traces.
moai-domain-monitoring
Enterprise Application Monitoring with AI-powered observability architecture, Context7 integration, and intelligent performance orchestration for scalable modern applications
datadog-cli
Datadog CLI for debugging and triaging. 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 export observability data. Trigger phrases include "search logs", "tail logs","query metrics", "check Datadog", "find errors", "trace request", "compare errors","what services exist", "log patterns", "CPU usage", "service health".
optimizing-performance
Web/ใขใใคใซ/ใใใฏใจใณใๅ จไฝใฎใใใฉใผใใณในๆ้ฉๅใๆฏๆดใใพใใCore Web Vitals ๆนๅใใใผใฟใใผในใฏใจใชๆ้ฉๅใใคใณใใฉใชใฝใผในๆ้ฉๅใๆไพใใพใใใใใฉใผใใณในๆนๅใใใผใธ้ๅบฆๅไธใๅฟ ่ฆใชๅ ดๅใซไฝฟ็จใใฆใใ ใใใ
fastapi-observability
This skill should be used when the user asks to "add logging", "implement metrics", "add tracing", "configure Prometheus", "setup OpenTelemetry", "add health checks", "monitor API", or mentions observability, APM, monitoring, structured logging, distributed tracing, or Grafana. Provides comprehensive observability patterns.
grafana-dashboards
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
prometheus-configuration
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 alerting systems.
slo-implementation
Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.
distributed-tracing
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
service-mesh-observability
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.
appinsights-instrumentation
Instrument a webapp to send useful telemetry data to Azure App Insights
railway-metrics
Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".
error-tracking
Add Sentry v8 error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers, instrumenting cron jobs, or tracking database performance. ALL ERRORS MUST BE CAPTURED TO SENTRY - no exceptions.