Is this skill available in different languages?

The documentation for this specific skill version is provided in Traditional Chinese (zh-TW) and English, ensuring accessibility for global development teams.

Can I use this with an existing project that has no logging standards?

Absolutely. The skill includes a setup detection feature that can suggest and document a new logging standard if one isn't already present in your repository.

Does it support production-ready log formats?

Yes, it prioritizes structured JSON logging for production to ensure logs are machine-readable and easily indexed by monitoring tools.

What log levels does this Claude Code skill support?

It supports six standard levels: TRACE, DEBUG, INFO, WARN, ERROR, and FATAL, providing a clear decision tree for which level to use in different scenarios.

How does this skill handle sensitive information?

The skill enforces strict protocols to never log passwords or API keys and provides guidelines for masking or hashing Personally Identifiable Information (PII).

Structured Logging & Observability Guide

Name: Structured Logging & Observability Guide
Author: AsiaOstrich

byAsiaOstrich

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分析与监控

Implements standardized, structured logging and sensitive data handling to improve application observability and debugging.

This Claude Code skill provides a comprehensive framework for implementing consistent logging practices across diverse development environments. It guides Claude in applying proper log levels, enforcing structured JSON formats, and masking sensitive information like PII or API keys. By using this skill, developers ensure their applications produce actionable logs that facilitate easier debugging, better monitoring, and secure data handling in production, following universal development standards.

主要功能

01Comprehensive sensitive data masking and PII protection

0240 GitHub stars

03Standardized log level implementation from TRACE to FATAL

04Structured JSON logging with mandatory field enforcement

05Automated detection and setup of project logging standards

06Performance-optimized logging strategies for production environments

使用场景

01Establishing a unified logging architecture for new software projects

02Refactoring legacy print statements into structured, searchable logs

03Auditing logs to ensure no credentials or sensitive data are being leaked

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add asiaostrich/universal-dev-standards logging-guide

For use in Claude.ai and ChatGPT

Download Skill