logging-review

What problem does it solve?

This skill helps engineering teams ensure their Python logging configuration is consistent, actionable, and production-safe, enabling reliable triage, better trace correlation, and safer rollout of changes.

Core Features & Use Cases

• Centralized root logger discipline and use of named loggers to avoid silent logging.
• Structured fields and context propagation to improve diagnosability across services.
• Safe exception capture and preservation of valuable context.
• Guardrails to prevent leakage of secrets, tokens, or excessive log volume.
• Practical guidance for rollout, testing, and validation of logging changes.

Quick Start

Run a quick audit of the current Python logging configuration and propose immediate improvements.