logger-design

Format and redact application logs into structured JSON entries.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/joyz0/kitz-ai --skill logger-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: logger-design
Source: https://github.com/joyz0/kitz-ai/tree/main/docs/legacy-skills/logger-design
Command: npx skills add https://github.com/joyz0/kitz-ai --skill logger-design

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The logging system centralizes and standardizes application logs to provide structured, searchable outputs, protect sensitive information, and surface diagnostic context for monitoring and debugging across modules and services.

Core Features & Use Cases

  • Structured Logging: JSON-formatted entries with timestamp, level, and subsystem fields for easy ingestion into log stores.
  • Subsystem Isolation: Per-module loggers that label and separate logs by subsystem for clearer traces.
  • Sensitive Data Protection: Regex-based and rules-driven redaction of API keys, tokens, and personal data.
  • Diagnostic Context & Metrics: Attach request IDs, session info, and performance metrics to log events to aid tracing and alerting.
  • Multiple Outputs & Resilience: Console, file with rotation, and remote sinks with fallback behavior to avoid losing logs.
  • Observability Integration: Supports metrics collection and distributed tracing hooks for OpenTelemetry workflows.
  • Use Case: Deploy this logger in a microservices environment to redact secrets, stream structured logs to your observability pipeline, and attach request IDs for end-to-end traceability.

Quick Start

Use logger-design to create a subsystem logger that redacts keys, emits JSON logs to console and file, and includes request IDs for diagnostics.

Frequently Asked Questions about logger-design

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I redact sensitive data like API keys in structured JSON logs?

Sensitive data like API keys and tokens in structured JSON logs are redacted using regex-based and rules-driven matching to mask personal data before routing logs to outputs. This prevents secrets from reaching log stores.

How do I add request IDs and performance metrics to application logs for tracing?

Request IDs and performance metrics are attached to application logs through diagnostic context enrichment. This adds tracing and session info to log events, enabling end-to-end traceability across microservices and modules.

What is the best way to isolate logs by subsystem in a microservices environment?

Subsystem isolation in a microservices environment is achieved by creating per-module loggers that label and separate structured logs by subsystem. This provides clearer traces and organized diagnostic context for targeted debugging.

Can I stream structured logs to multiple outputs like console, file, and remote sinks?

Structured logs can be streamed to multiple outputs including console, files with rotation, and remote sinks. The system includes graceful fallback behavior to ensure logs are not lost if a remote destination fails.

Does this structured logging system support OpenTelemetry observability workflows?

The structured logging system supports OpenTelemetry workflows by providing observability integration hooks for metrics collection and distributed tracing. This enables ingestion into monitoring pipelines for end-to-end visibility.