app-observability
Get RED metrics + service maps + frontend RUM + AI/LLM monitoring out of Grafana Cloud — Application Observability (`traces_spanmetrics_*` from OTel traces, p50/p95/p99 latency, exemplar-to-trace, traces-to-logs / profiles), Frontend Observability with the Faro Web SDK (Core Web Vitals, session replay, `pushError`, React + router integration, `TracingInstrumentation` for browser → backend trace correlation), and AI Observability via OpenLIT (token / cost / latency, GPU, hallucination + toxicity evals). Use when standing up APM for a service, wiring an Alloy OTLP receiver + forwarding to Cloud, instrumenting a React frontend for RUM, debugging why service-map edges are missing, monitoring LLM cost drift, or correlating a frontend error to its backend trace — even when the user says "set up APM", "show service map", "monitor browser perf", "session replay", "RUM SDK", or "watch our OpenAI bill" without naming App / Frontend / AI Observability.
Install
With your agent
Install OMGSkills skill "grafana/skills:app-observability" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/grafana/skills /tmp/skills && ln -s /tmp/skills/skills/grafana-cloud/app-observability ~/.claude/skills/app-observabilityFrom README
Grafana Cloud Application Observability Docs: https://grafana.com/docs/grafana-cloud/monitor-applications/ Three products that share the same OTLP + Mimir / Loki / Tempo / Pyroscope plumbing: Application Observability — APM from OTel spanmetrics Frontend Observability — Faro Web SDK, RUM + session replay AI Observability — LLM / vector-DB monitoring via OpenLIT Prerequisites Grafana Cloud stack + OTLP endpoint + numeric instance ID + API key with MetricsPublisher + LogsPublisher + TracesPublisher For APM: app instrumented with OTel SDK; for Frontend: a web app + Faro app key; for AI: Python ≥ 3.10 Grafana Alloy as the local OTLP receiver (recommended) Common Workflows Stand up APM — Alloy receiver → Grafana Cloud + verify Full Alloy block + required resource attributes + spanmetric names + correlation links: references/apm.md. Instrument a React frontend with Faro Full React example, CDN , session config: references/faro.md.
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