What are child loggers used for?

Child loggers allow you to attach persistent context, such as a Request ID or User ID, to all subsequent logs within a specific scope without repeating the metadata in every call.

How does this skill handle sensitive data like passwords?

It provides patterns for automatic redaction of common secrets like passwords, API keys, and tokens, and supports custom redaction patterns for domain-specific sensitive data.

Can I send logs to multiple destinations simultaneously?

Yes, the skill demonstrates how to configure multiple sinks, allowing you to log to the console for development while piping logs to a file or external service for production.

What is the benefit of structured logging over string concatenation?

Structured logging uses metadata objects which make logs machine-readable and easier to query in log management tools like ELK or Datadog, preventing data loss common with strings.

Does logging impact application performance?

This skill includes patterns for lazy evaluation and level checks to ensure that expensive log data computations only occur when the specific log level is actually enabled.

Outfitter Logging

Name: Outfitter Logging
Author: outfitter-dev

byoutfitter-dev

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分析と監視

Implements structured logging, sensitive data redaction, and multi-sink configurations for robust application observability.

The Outfitter Logging skill equips Claude with the patterns and best practices needed to manage application logs using the @outfitter/logging library. It enables the creation of structured loggers that replace messy string concatenation with queryable metadata, configures automatic redaction to protect sensitive credentials, and sets up multiple output sinks like console and rotating files. Ideal for developers building Bun-first infrastructure, this skill ensures logs are informative, secure, and performance-optimized through lazy evaluation and hierarchical child loggers for precise request tracing.

主な機能

012 GitHub stars

02Multi-sink support including console, rotating files, and custom services

03Hierarchical child loggers for persistent context and request tracing

04Structured metadata logging for machine-readable output

05Automatic sensitive data redaction for security compliance

06Performance-focused lazy evaluation and conditional logging

ユースケース

01Standardizing log formats and metadata across distributed microservices

02Configuring environment-specific log levels and output destinations

03Protecting PII and credentials from leaking into log storage

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add outfitter-dev/outfitter outfitter-logging

For use in Claude.ai and ChatGPT

Download Skill