Agent Observability — instrument an LLM app

Help a developer wire their own LLM app or agent to Grafana Agent Observability, from zero or from a broken/partial state, and keep going until data actually lands in the stack. The value this skill adds over the static instrumentation prompt is two things a prompt can't do:

1. A mechanical gap checklist run against the real code — headed by the one failure that is completely silent (missing OTel providers → every metric lost, no error).
2. A verification loop through gcx: after each change, run the app and check the gcx agento11y agents / conversations / generations commands to confirm generations arrived. Diagnose the next gap from what's missing, not from guesswork.

The SDK reference (env vars, provider snippets, field lists, framework adapters, workflow steps) lives in agento11y's llms.txt "Path B". Fetch it rather than restating it here; this file holds the flow and the decision logic. A minimal fallback lives in references/instrumentation.md for when the fetch is unavailable.

Rules