“Monitoring and observability”

Unified observability gateway for AI agents — Prometheus, Loki & more, with anomaly detection.

Guide for instrumenting and operating observable software systems.

Monitor outbound deliverability health across domains, inboxes, DNS, bounces, spam placement, reply rates, and reputation signals.

Instruments a feature so production behavior is diagnosable before the first incident: structured logs, RED/USE metrics, traces, symptom alerts.

Log and metrics analyst — reads .cladding/audit.log.jsonl, perf/baseline.json, and drift reports; surfaces patterns the human can act on.

Grafana Cloud Database Observability — query-level performance insights for MySQL and PostgreSQL.

Choose observability tier by hardware: Grafana Cloud Free + Alloy (light), self-hosted Grafana+Prometheus+Loki single, or full LGTM (Mimir/Loki/Tempo RF=1+).

Provides data-retrieval best practices, tool selection guidance, and performant SQL query syntax for BigQuery telemetry across INFORMATION_SCHEMA, Cloud…

Add lightweight application monitoring, health checks, and request metrics with minimal dependencies and operational overhead.

This skill should be used when the user wants to "set up tracing", "monitor my ADK agent", "configure logging", "add observability", "debug production…

Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI/CD quality gates, observability, or cost optimization.

Instrument code so production behavior is visible and diagnosable — structured logs with correlation ids, metrics, traces, symptom-based alerts and minimal…

Identify missing logging, metrics, tracing, and alerting for production services.

When the user wants to monitor brand mentions, detect trademark infringement, or set up brand monitoring.

Wires Sentry crash reporting behind a port: start on consent, PII scrubbing, releases, source maps per build and update.

Observability as an engineering discipline — wide events / canonical log lines, OpenTelemetry instrumentation (traces, metrics, context propagation, sampling…

Practical observability guide for this workspace.

Audit observability for a service or system: structured logging, metrics for golden signals, distributed tracing, dashboard quality, alert noise, SLO…

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

Design and review logging, metrics, alerts and SLOs for services — mainly Spring Boot on OpenShift with logs in Elasticsearch/Kibana and metrics through…

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

AI agent observability with deterministic record/replay for debugging agent failures.

BetterDB MCP server - Valkey observability for Claude Code and other MCP clients

Scores the observability of every entry point in a codebase with `autotel map` and closes the gaps it reports.