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Skills IA tools monitoring

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

Catégories: tools monitoring

289–312 sur 1,000

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GitHub

sentry-error-capturing

TheBushidoCollective

Use when capturing and reporting errors to Sentry, adding context, or handling exceptions. Covers error boundaries, context enrichment, and fingerprinting.

GitHub

sentry-release-management

TheBushidoCollective

Use when managing Sentry releases, uploading source maps, or tracking deployments. Covers release health and commit association.

GitHub

go-error-handling

TheBushidoCollective

Use when Go error handling with error wrapping, sentinel errors, and custom error types. Use when handling errors in Go applications.

GitHub

discover-observability

rand

Automatically discover observability and monitoring skills when working with monitoring. Activates for observability development tasks.

GitHub

discover-proxies

rand

Automatically discover proxy skills when working with forward/reverse proxies, nginx, traefik, envoy, caching, or NATS messaging

GitHub

error-detective

htlin222

Search logs and codebases for error patterns, stack traces, and anomalies. Use when debugging issues, analyzing logs, or investigating production errors.

GitHub

incident

htlin222

Handle production incidents with urgency. Use when production issues occur for debugging, fixes, and post-mortems.

GitHub

observability-monitoring

yonatangross

Use when adding logging, metrics, tracing, or alerting to applications. Observability & Monitoring covers structured logging, Prometheus metrics, OpenTelemetry tracing, and alerting strategies.

GitHub

posthog

andrehfp

Implement PostHog analytics, feature flags, and session replay for Next.js apps. Use this skill for event tracking, user identification, A/B testing, experiments, and session recording setup. Also handles analy...

GitHub

datadog

OpenHands

Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.

GitHub

observable-gepa-migration

raveeshbhalla

Migrate DSPy GEPA usage in DSPy from the original to gepa-observable. This makes it possible for teams to clearly review each iteration and the lineage to understand how their prompt is evolving. The repository...

GitHub

event-management

groeimetai

This skill should be used when the user asks to "create event", "event rule", "alert", "event correlation", "metric", "monitoring integration", "SNMP trap", or any ServiceNow Event Management development.

GitHub

performance-analytics

groeimetai

This skill should be used when the user asks to "create indicator", "performance analytics", "PA", "KPI", "dashboard widget", "breakdown", "threshold", "scorecard", or any ServiceNow Performance Analytics devel...

GitHub

workers-observability

secondsky

Cloudflare Workers observability with logging, Analytics Engine, Tail Workers, metrics, and alerting. Use for monitoring, debugging, tracing, or encountering log parsing, metric aggregation, alert configuration...

GitHub

logging-best-practices

secondsky

Structured logging with proper levels, context, PII handling, centralized aggregation. Use for application logging, log management integration, distributed tracing, or encountering log bloat, PII exposure, miss...

GitHub

datadog-cli

jjmartres

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 expo...

GitHub

error-handling-logging

jhl-labs

SEPilot Desktop의 에러 처리 및 로깅 패턴. 예외 처리, 에러 보고, 로깅, 사용자 피드백 패턴을 다룹니다. Frontend/Backend 에러 처리, IPC 에러 전파, 로그 관리를 전문으로 합니다.

GitHub

observability-monitoring

manutej

Comprehensive observability and monitoring skill covering Prometheus, Grafana, metrics collection, alerting, exporters, PromQL, and production monitoring patterns for distributed systems and cloud-native applic...

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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