/ai-observability
Use when adding monitoring, metrics, logging, or tracing to Spring AI or LLM integration code. Covers token tracking, latency measurement, cost estimation, and prompt/response logging. Use when user mentions AI monitoring, token costs, or LLM observability.
$ npx -y skills add rrezartprebreza/spring-boot-skills --skill ai-observability --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/ai-observability
Context preview
The summary Claude sees to decide when to auto-load this skill.
Use when adding monitoring, metrics, logging, or tracing to Spring AI or LLM integration code. Covers token tracking, latency measurement, cost estimation, and prompt/response logging. Use when user mentions AI monitoring, token costs, or LLM observability.
Production-grade Claude Code and Codex skills for Spring Boot developers
Other skills on spring-boot-skills.
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Open skill - /hexagonal-architecture
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Open skill - /layered-architecture
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Open skill - /mcp-server
Use when building MCP (Model Context Protocol) servers in Java/Spring Boot. Covers tool registration, resource exposure, prompt templates, and production deployment using the official MCP Java SDK. Use when user mentions MCP, AI agent integration, or tool calling.
Open skill

