“observability”

Define logging, metrics, tracing, and alerting for a feature so production health can be monitored from day one.

Design monitoring, distributed tracing, log aggregation, and alerting.

Agent observability: structured logging, cost tracking, and compliance audit trails

Logging and observability best practices — structured logging, log levels, correlation IDs, metrics, tracing, and alerting.

Beginner-friendly reverse-engineering workflow for Ebpf Runtime Observability.

Trace AI agent execution: every tool call, every error, every dollar.

Production monitoring, observability, and alerting with Prometheus, Grafana, and logging

Structured logging, distributed tracing, and metrics collection patterns for building observable systems.

Comprehensive monitoring, dashboards, and observability expertise.

Set up metrics, logs, and traces for a service.

Plan, implement or review system observability and operations, including logs, metrics, traces, SLIs/SLOs, alerts, dashboards, incidents, runbooks, capacity…

Sweep a codebase for critical paths that run blind — no log, metric, or trace at any layer — and surface each as a finding.

Use for anything related to EAS Observe — adding `expo-observe` to an Expo project (AppMetricsRoot/ObserveRoot HOC, markInteractive, the useObserve hook, the…

Use this skill when logging, metrics, tracing, alerting, or SLO design needs an evidence-bounded review before implementation; triggers include observability…

Governed Prometheus + Grafana ops: PromQL, alerts, dashboards, RCA; 39 tools.

Add or adjust monitoring for a Hypeman feature using repository standards for logs, traces, and metrics.

Add logging, metrics, and monitoring dashboards

Effect 4 logging, tracing and metrics, and their export.

Specialist subagent: OpenTelemetry, Prometheus, Grafana, distributed tracing, SLO design, and alerting specialist.

Monitors task execution for skill improvement opportunities: logs patterns, user corrections and methodology worth preserving to the workspace, turns them…

Observability patterns for Python applications.

Reviews agent projects for tracing, metrics, structured logging and trace propagation.

Audit and present host, network-uplink, and service availability from existing system evidence before adding monitoring.

Review code changes for missing actionable logs, metrics, traces, and error context in important operational paths.