python-logging
Use when choosing or configuring Python logging, especially deciding between stdlib logging and loguru for apps or CLIs.
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Use when choosing or configuring Python logging, especially deciding between stdlib logging and loguru for apps or CLIs.
Use when adding logging, error monitoring, metrics, Sentry, debugging production issues, or improving 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, A...
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...
Parallel metrics collection using G-6 SIGNAL. Deploy 6 probes to gather metrics from all sources for data-driven decisions.
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...
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...
Instantiate polymorphic analytics for multi-context analysis.
Log events using Chronicle Protocol v5 structured format.
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...
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.
Эксперт по аудит-логам. Используй для создания систем логирования, compliance требований, структуры логов и мониторинга.
Analyze Langfuse trace JSON exports using jq queries. Use when user provides a Langfuse trace file (.json) for analysis, debugging agent behavior, checking token usage, or investigating tool calls. Triggers on...
Metrics, health checks, alerting
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...
Tracing with OpenTelemetry and structured logging with slog. Use when adding observability to services, handlers, or debugging production issues.
Comprehensive observability strategy including metrics, logs, traces, and alerting. Use when setting up new applications, debugging production issues, performance optimization, SLA/SLO definition, incident resp...
Use sentry-cli for release management, debug information files/source maps, sending events, and cron monitor check-ins. Use when configuring authentication, verifying CLI setup, uploading debug files, or runnin...
Cloud monitoring with Prometheus, Grafana, and cloud-native tools. Use when setting up metrics, alerts, dashboards, or troubleshooting performance issues.
Orchestrate multiple dr.eamer.dev services - manage service groups, dependencies, and parallel health checks.
Review logging, metrics, tracing, and alerting. Ensures systems are observable, debuggable, and operable. Use when reviewing code that adds logging, metrics, or monitoring.
Use this still to write reports.
Use when adding logging to features - structured logging with LoggerService categories
Define package-level sentinel errors using errors.New
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