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.
How to install ai-observability?
rrezartprebreza/spring-boot-skills/ai-observability
$npx -y skills add rrezartprebreza/spring-boot-skills --skill ai-observabilityInstalls into the current project.
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Run `npx skills use "https://github.com/rrezartprebreza/spring-boot-skills" --skill "rrezartprebreza/spring-boot-skills/ai-observability"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/rrezartprebreza/spring-boot-skills" that are relevant to the current task. Run `npx skills add "https://github.com/rrezartprebreza/spring-boot-skills"` and select the relevant skills, then follow their instructions.
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