
This one nails the practice of making logs machine-readable for AI debugging, which matters more now that Claude is analyzing your stack traces.
$ npx -y skills add decebals/claude-code-java --skill logging-patterns --agent claude-codeInstalls into .claude/skills of the current project.
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It pushes JSON structured logging with SLF4J and MDC for request tracing, giving you Spring Boot 3.4+ native configs and Logstash encoder setups for older versions. The AI-friendly format section is the real hook: it shows why JSON logs let Claude parse fields directly instead of burning tokens interpreting text patterns. You get working filter code for request IDs, profile switching between JSON and human-readable formats, and jq queries for log analysis. Opinionated about defaulting to JSON, which makes sense if you're doing AI-assisted debugging daily.
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