This one nails the practice of making logs machine-readable for AI debugging, which matters more now that Claude is analyzing your stack traces. 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.
npx -y skills add decebals/claude-code-java --skill logging-patterns --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
kubesphere/kubesphere
supercent-io/skills-template