structured-logging-standardizer

Enforce a consistent structured log schema with correlation IDs across services.

Updated Jan 21, 2026
One-click install
npx skills add https://github.com/vecear/Nipponverb --skill structured-logging-standardizer-vecear
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: structured-logging-standardizer
Source: https://github.com/vecear/Nipponverb/tree/main/.claude/skills/structured-logging-standardizer
Command: npx skills add https://github.com/vecear/Nipponverb --skill structured-logging-standardizer-vecear

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Inconsistent logging across services makes debugging and tracing difficult. This Skill enforces a consistent, structured log schema with correlation IDs to enable end-to-end observability.

Core Features & Use Cases

  • Request ID middleware that generates or propagates a unique request identifier for each incoming request.
  • Standardized log schema that includes timestamp, level, message, service, environment, and optional context like userId and traceId.
  • A reusable, structured logger that attaches request context automatically and supports best practices for error logging.
  • Use Case: implement in a Node.js microservice to correlate logs across services during a user request.

Quick Start

Integrate the standardizer into your service to emit structured logs with request IDs for traceability.

Frequently Asked Questions about structured-logging-standardizer

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

FAQPage Schema
How do I standardize Node.js microservice logs with correlation IDs?

To standardize Node.js microservice logs with correlation IDs, use middleware that generates a unique request identifier for each incoming request and a reusable logger to enforce a consistent, queryable schema across services.

What is structured logging and when do I need it for server-side applications?

Structured logging is the practice of emitting logs in a consistent, queryable schema including timestamp, level, and message. You need it for server-side applications to enable end-to-end observability and traceability across distributed services.

How do I preserve request context across asynchronous boundaries in Node.js?

To preserve request context across asynchronous boundaries in Node.js, you need a mechanism that propagates the context alongside a standardized logger, ensuring the correlation ID remains attached to logs during async operations.

Does this logging standardization approach work for microservices?

Yes, this logging standardization approach works for microservices by applying request ID middleware to propagate request context, enabling end-to-end tracing and unified logs across distributed service architectures.

What is the best way to correlate logs across services during a user request?

The best way to correlate logs across services during a user request is to enforce a structured log schema with correlation IDs, allowing you to trace a single request's path through multiple microservices.

What fields should a standardized log schema include for observability?

A standardized log schema for observability should include timestamp, level, message, service, environment, and optional context like userId and traceId to ensure logs are queryable and consistent.