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Skills IA tools monitoring

Découvrez les skills tools monitoring, comparez leurs dépôts et consultez leurs instructions.

Catégories: tools monitoring

601–624 sur 1,000

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GitHub

observability

doanchienthangdev

Production observability with structured logging, metrics collection, distributed tracing, and alerting

GitHub

orchestrating-with-kubernetes

doanchienthangdev

The agent implements Kubernetes container orchestration with deployments, services, Helm charts, and production patterns. Use when deploying containerized applications, configuring autoscaling, managing secrets...

GitHub

service-mesh

doanchienthangdev

Advanced service mesh implementation with Istio, Linkerd, traffic management, mTLS, and observability.

GitHub

rust-observability

matthewharwood

Production observability with tracing, OpenTelemetry, and Prometheus metrics including structured logging, instrumented functions, distributed tracing, health checks, and request correlation. Use when adding lo...

GitHub

moai-domain-monitoring

AJBcoding

Enterprise Application Monitoring with AI-powered observability architecture, Context7 integration, and intelligent performance orchestration for scalable modern applications

GitHub

moai-lang-go

AJBcoding

Enterprise Go for systems and network programming Go 1.25.4, Fiber v3, gRPC, context patterns, goroutine orchestration, standard library mastery; activates for REST APIs, microservices, concurrent systems, back...

GitHub

moai-essentials-debug

AJBcoding

AI-powered enterprise debugging orchestrator with Context7 integration, intelligent error pattern recognition, automated root cause analysis, predictive fix suggestions, and multi-process debugging coordination...

GitHub

performance-budget-enforcer

hopeoverture

Monitors Lighthouse scores and JavaScript bundle sizes across deployments with automated alerts when performance thresholds are exceeded. This skill should be used when setting up performance monitoring, enforc...

GitHub

sentry-and-otel-setup

hopeoverture

This skill should be used when adding error tracking and performance monitoring with Sentry and OpenTelemetry tracing to Next.js applications. Apply when setting up error monitoring, configuring tracing for Ser...

GitHub

dialogue-log-observation

pidster

Log an observation (measurement, state, or event). Use when recording factual observations during work execution. Triggers on "log observation", "record observation", "note finding", "capture state".

GitHub

fastapi-observability

Lobbi-Docs

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, A...

GitHub

orchestration-debugging

Euda1mon1a

Troubleshoot agent & tool failures in scheduling orchestration. Use when MCP tools fail, agent communication breaks, constraint engines error, or database operations timeout. Provides systematic incident respon...

GitHub

signal-party

Euda1mon1a

Parallel metrics collection using G-6 SIGNAL. Deploy 6 probes to gather metrics from all sources for data-driven decisions.

GitHub

sentry-server

JasonPaff

Enforces project server-side Sentry monitoring conventions when implementing error tracking, performance monitoring, and breadcrumb logging in server actions, facades, middleware, and API routes. This skill ens...

GitHub

running-performance-benchmarks

wolfiesch

Use this skill when running performance benchmarks, measuring API endpoint response times, detecting performance regressions, running load tests, comparing performance before/after changes, analyzing performanc...

GitHub

observability-patterns

mindmorass

Observability patterns for metrics, logs, and traces. Use when implementing monitoring, setting up Prometheus/Grafana, configuring logging pipelines, implementing distributed tracing, or designing alerting syst...

GitHub

metrics-report

kinneyyan

Posts metrics data to a reporting endpoint. Use this when users need to send metrics data that has been collected and stored in temporary files to a reporting API.

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.

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