monitoring-setup-agent
Designs and configures monitoring solutions for applications and infrastructure
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Designs and configures monitoring solutions for applications and infrastructure
Designs and configures alerting rules for monitoring systems
Monitor Bob The Skull operation and debug issues. Use when checking system health, diagnosing problems, analyzing logs, monitoring state transitions, or troubleshooting component failures. Covers web monitor, l...
Manage full-stack observability using Logfire (logging/tracing) and OpenObserve (storage/visualization).
AI-powered PR Author Agent that transforms Observability Diff Plans into Pull Requests. Use when: (1) Generating instrumentation code from Scout Agent output, (2) Creating OTel configuration, correlation header...
AI-powered PR Author Agent that transforms Observability Diff Plans into Pull Requests. Use when: (1) Generating instrumentation code from Scout Agent output, (2) Creating OTel configuration, correlation header...
AI-powered Telemetry Validator Agent that verifies instrumentation works in sandbox environments. Use when: (1) Validating OTel spans are emitted correctly, (2) Verifying correlation headers in Kafka messages,...
AI-powered CI Gatekeeper Agent that enforces observability standards in CI/CD pipelines. Use when: (1) Generating GitHub Actions/Jenkins pipelines for observability gates, (2) Configuring progressive enforcemen...
AI-powered Signal Factory Core for processing observability signals and maintaining the knowledge graph. Use when: (1) Developing Signal Engines (Freshness, Drift, Contract, DQ, Volume, Anomaly), (2) Configurin...
Production monitoring, observability, SLO/SLI management, and incident response. Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response, SLO, SLI, error budget, Prometheus...
Design specifications for effective dashboards. Use when planning new dashboards, improving existing ones, or documenting dashboard requirements before development.
Generates production-grade, high-availability logging modules for any programming language (Python, TypeScript, Go, etc.). Enforces best practices like rotation, formatting, and minimal dependencies.
Infrastructure, observability, and autoscaling guidelines for RawDrive. Use when working with Traefik, KEDA, Prometheus, Kafka, Kubernetes, or Docker configurations.
This skill should be used when the user asks about "interpreting ctx-monitor traces", "understanding execution logs", "reading trace files", "what do ctx-monitor events mean", "debugging trace output", or needs...
Audit tool integrations for deterministic behavior, error contracts, and logging before agents depend on them. Use when adding or updating tools or MCP servers.
Create and configure AnalysisConfig objects for query, funnel, and flow analysis modes in Drizzle Cube dashboards.
Apply the Agent OS standard for global error handling.
Elastic Stack を用いた Active Directory ログ分析・脅威検知支援スキル。Elasticsearch クエリ、Logstash パイプライン、Kibana 可視化を通じて、Windows イベントログおよび Sysmon ログの多角的な脅威検知を実現します。Ac...
Native crash reporting, hang diagnostics, and performance metrics using Apple's MetricKit framework without third-party dependencies. Use this skill when implementing MXMetricManagerSubscriber, creating custom...
Pattern for building data source collectors that fetch, transform, and deduplicate incident data from external APIs. Use when adding new data sources, fixing collector bugs, or understanding the data pipeline.
Configure CI/CD pipelines, troubleshoot test failures, set up pre-commit hooks, and manage GitHub Actions for trading indicator development. Use when setting up testing infrastructure, diagnosing build failures...
Intelligent Kubernetes agent for analysis, optimization, and troubleshooting. Use when you need deep insights or reasoning about cluster state.
Manage Graphite stacked diffs. Usage: `/graphite` (status), `/graphite submit` (run checks + submit), `/graphite sync` (sync with trunk), `/graphite modify`
Help craft efficient Tempo trace queries, troubleshoot distributed traces, link logs and metrics (Loki/Mimir), and perform request-level root cause analysis.
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.