# Aio Monitoring Observability

> | Design metrics, alerts, dashboards, and SLOs for any service using monitoring and observability best practices. Use when setting up observability from scratch, designing alert rules, building Grafana dashboards, integrating OpenTelemetry instrumentation, configuring Prometheus, implementing SLI/SLO tracking and error budgets, aggregating logs with ELK or Loki, debugging with distributed tracing, applying the RED method or USE method or Four Golden Signals, migrating from Datadog to an open-source stack, or comparing monitoring tools like Datadog, Grafana Cloud, Jaeger, and Tempo.

## Facts
- Page: https://tashan.sh/capability/skill-aiocean-aio-monitoring-observability
- tashan id: skill:aiocean/aio-monitoring-observability
- Source: https://github.com/aiocean/claude-plugins
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 94.0
- Freshness: 88.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- Official: no

## Install

```sh
cp -r aio-monitoring-observability ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-20 by tashan (https://tashan.sh) from public evidence. Scorer s5.