エラーバジェット追跡、バーンレートアラート、PrometheusおよびSlothやPyrraなどのツールを使用した 自動レポートを含む、サービスレベル目標（SLO）、サービスレベル指標（SLI）、 サービスレベルアグリーメント（SLA）を確立する。カスタマー向けサービスの信頼性目標を 定義する場合、エラーバジェットを通じた機能開発速度とシステム信頼性のバランスを取る場合、 任意のアップタイム目標からデータ駆動型のメトリクスへ移行する場合、またはSRE実践を 実装する場合に使用する。
创建生产级 Grafana 仪表板，包含可复用面板、模板变量、注解及版本控制部署的预置配置。 适用于为 Prometheus、Loki 等数据源创建可视化图表、为 SRE 团队构建运营仪表板、 从手动创建仪表板迁移到版本控制预置配置，或建立高管级别的 SLO 合规报告。
配置 Prometheus Alertmanager，包括路由树、接收器（Slack、PagerDuty、邮件）、 抑制规则、静默及通知模板，用于可操作的事故告警。适用于通过自动事故检测实施主动监控、 按严重程度将告警路由到适当团队、通过分组和去重减少告警疲劳、 与 PagerDuty 等值班系统集成，或将遗留告警迁移到基于 Prometheus 的告警系统。
Create production-ready Grafana dashboards with reusable panels, template variables, annotations, and provisioning for version-controlled dashboard deployment. Use when creating visual representations of Prometheus, Loki, or other data source metrics, building operational dashboards for SRE teams, migrating from manual dashboard creation to version-controlled provisioning, or establishing executive-level SLO compliance reporting.
Configure Prometheus Alertmanager with routing trees, receivers (Slack, PagerDuty, email), inhibition rules, silences, and notification templates for actionable incident alerting. Use when implementing proactive monitoring with automated incident detection, routing alerts to the appropriate team by severity, reducing alert fatigue through grouping and deduplication, integrating with on-call systems like PagerDuty, or migrating from legacy alerting to Prometheus-based alerting.
Set up centralized log aggregation with Loki and Promtail (or ELK stack), including log parsing, label extraction, retention policies, and integration with metrics for correlation. Use when consolidating logs from multiple services into a searchable system, replacing local log files with centralized queryable storage, correlating logs with metrics and traces, implementing structured logging with label extraction, or troubleshooting production incidents requiring cross-service log analysis.
OpenTelemetry observability - tracing, metrics, logs, instrumentation, and context propagation patterns When user works with OpenTelemetry, adds tracing/metrics/logging, configures exporters, or mentions spans and observability
Install MMT-Probe and its dependencies from source, packages, or Docker
Complete Grafana operations via REST API - dashboards, Prometheus/Loki queries, alerting, annotations, Sift When user mentions Grafana, dashboards, Prometheus, Loki, metrics, logs, alerts, PromQL, LogQL
Prometheusを設定して時系列メトリクスを収集する。スクレイプ設定、サービスディスカバリ、 記録ルール、マルチクラスタ展開のフェデレーションパターンを含む。マイクロサービスの 集中メトリクス収集、アプリケーションとインフラのモニタリング基盤構築、SLO/SLI追跡の 確立、レガシー監視システムからの移行などに使用する。
Configure MMT-Probe input, output channels, reports, security, and performance tuning
MUI X Date/Time Pickers setup, configuration, and form integration
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.
配置 Prometheus 进行时间序列指标收集，包括抓取配置、服务发现、 记录规则以及多集群部署的联邦模式。适用于为微服务搭建集中式指标收集、 对应用和基础设施实施时序监控、建立 SLO/SLI 追踪与告警基础， 或将遗留监控方案迁移至现代可观测性栈。
Configure Prometheus for time-series metrics collection, including scrape configurations, service discovery, recording rules, and federation patterns for multi-cluster deployments. Use when setting up centralized metrics collection for microservices, implementing time-series monitoring for application and infrastructure, establishing a foundation for SLO/SLI tracking and alerting, or migrating from legacy monitoring solutions to a modern observability stack.
Trade tokens on Solana using Jupiter aggregator. Use when: (1) swap tokens on Solana, (2) check token prices/metrics, (3) analyze bags.fm tokens, (4) verify token creators. Works with any Solana SPL token via Jupiter routing, specialized for bags.fm ecosystem.
Instrument apps with OpenTelemetry for distributed tracing, metrics, and logs. Use when setting up OTel SDK, auto-instrumenting Python/Node.js, configuring Collector pipelines, or choosing sampling.
Manage the homelab monitoring stack at ~/docker/stacks/monitoring/. Services: Prometheus, Grafana, Alertmanager (Telegram via DeLoNETBot), cadvisor, node-exporter, process-exporter, Loki, OTEL collector, Dockge, Uptime Kuma, health-monitor. Use when: (1) adding, editing, or debugging Prometheus alert rules, (2) managing or restarting monitoring services, (3) checking alert delivery or Telegram bot status, (4) diagnosing system performance issues (CPU hogs, memory bloat, swap pressure), (5) adding new scrape targets to Prometheus, (6) configuring Grafana dashboards or datasources, (7) any task referencing "monitoring", "alerts", "prometheus", "grafana", "cadvisor", "process-exporter", "alertmanager", "telegram alerts", or "DeLoNETBot".
Trade tokens on Solana's bags.fm ecosystem using Jupiter aggregator. Use when: (1) user wants to swap tokens on Solana, (2) check token prices on DexScreener, (3) analyze bags.fm tokens, (4) verify token creators/devs, (5) manage positions with stop-losses. Specialized for the bags.fm tokenized social ecosystem but works with any Solana SPL token via Jupiter routing.
使用 OpenTelemetry 为应用程序插桩分布式追踪，包括自动和手动插桩、 上下文传播、采样策略及与 Jaeger 或 Tempo 的集成。适用于调试分布式系统中的延迟问题、 理解跨微服务的请求流、将追踪与日志和指标关联进行根因分析、 测量端到端延迟，或将遗留追踪系统迁移到 OpenTelemetry。
Comprehensive observability setup patterns for Google ADK agents including logging configuration, Cloud Trace integration, BigQuery Agent Analytics, and third-party observability tools (AgentOps, Phoenix, Weave). Use when implementing monitoring, debugging agent behavior, analyzing agent performance, setting up tracing, or when user mentions observability, logging, tracing, BigQuery analytics, AgentOps, Phoenix, Arize, or Weave.
Structured logging, metrics, distributed tracing, and alerting strategies
Automates the integration of Azure Application Insights telemetry into web applications for monitoring, diagnostics, and performance tracking
