Identify and label application LLM workflows for Caveman Cloud cost attribution.
Observability & Monitoring Skills for Claude Code, Codex & AI Agents
These skills help an agent expose useful signals and inspect what happens after deployment. Members cover Agent Observability, Grafana, typed analytics, Tavily monitoring, gateway evidence, and release checks.
10 skillsStart here
Generate typed event definitions, SDK wrappers, identity handling, validation helpers, and integration examples from a tracking plan.
Configure and troubleshoot tracing and logs for agents built with agents-cli.
Claude-Mem Post-release Verification
Check shipped packages, deployments, installed plugins, and late reports during a defined post-release observation window.
Explore Observability & Monitoring skills
6 skillsTranslate an approved tracking plan into SDK-specific identify, group, and track patterns with architecture and integration guidance.
Prepare a repeatable search or page check with a saved baseline and change rule.
Connect an application’s LLM calls to the Caveman Cloud gateway for measurement.
Observability and Instrumentation
Add structured logs, bounded metrics, distributed traces and symptom-based alerts around operational questions.
Query Prometheus through Grafana, investigate infrastructure metrics and maintain dashboards as code.
Review current Caveman Cloud traces, costs, latency and optimization evidence.
Related topics
How to choose Observability & Monitoring skills
Start with instrumentation when signals are missing, metrics when a service needs dashboards, and monitoring or evidence entries when the workflow must watch changes over time.
- Add metrics and instrumentation to a service
- Build a Grafana view for key signals
- Monitor a release for new evidence

