Design structured JSON application logs with semantic error codes and correlation IDs.
npx skills add https://github.com/swat9013/dotfiles --skill log-designing
Please help me install this Agent Skill. Skill: log-designing Source: https://github.com/swat9013/dotfiles/tree/main/.claude-global/skills/log-designing Command: npx skills add https://github.com/swat9013/dotfiles --skill log-designing
This Skill helps teams and developers design logging that is both machine-readable and actionable, reducing time-to-diagnosis and enabling automated incident triage by prescribing format, content, and CLI conventions.
Generate a concise logging design checklist that enforces JSON structured logs, semantic error codes with E4xx–E6xx categories, correlation IDs, stdout/stderr separation, and staged verbosity flags.
High-intent search queries and answers about installing and using this skill.
Design structured application logs by enforcing JSON output, semantic E4xx–E6xx error codes, correlation IDs, stdout/stderr separation, and staged verbosity flags to enable efficient debugging and automated incident triage.
Structured error logs should include mandatory fields: error_code, message, input, expected/actual, stack_trace, context, correlation_id, and suggestions to ensure reproducibility and actionable observability across microservices.
Separate stdout and stderr in CLI logging by writing standard operational output to stdout and routing diagnostic or error messages to stderr, utilizing verbosity flags like -v/-vv/-vvv/-q or environment variable fallbacks such as LOG_LEVEL.
Use correlation IDs for distributed system logging to trace requests across microservices. Propagating correlation IDs in structured JSON logs enables efficient error diagnosis and tracking across complex distributed systems.
Recommended libraries for structured logging include Python structlog, Node Pino, Go slog, and Rust tracing, which support JSON output and staged verbosity to optimize signal-to-noise ratio in application logs.
Implement semantic error codes in application logs using category-based templates like E4xx, E5xx, and E6xx to classify errors semantically, enabling automated incident triage and faster error diagnosis in microservices.
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