Correlation Tracing

This implements correlation IDs and distributed tracing across microservices so you can follow requests through your system. You get Express middleware that generates or extracts trace IDs, AsyncLocalStorage for context propagation, and integration patterns for OpenTelemetry. The skill includes Python implementations too, not just Node. Use it when you're debugging why requests are slow or failing in a distributed system and you need to see the full path. The practical bit is the structured logging integration, so your correlation IDs actually show up where you need them. Just watch your sampling rates in production or you'll drown in trace data.

skills.sh installs: 429
GitHub stars: 379
last updated: Aug 21, 2026

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Install

$ npx -y skills add aj-geddes/useful-ai-prompts --skill correlation-tracing --agent claude-code

Installs into .claude/skills of the current project.

Files

Overview

Implement correlation IDs and distributed tracing to track requests across multiple services and understand system behavior.

When to Use

Microservices architectures
Debugging distributed systems
Performance monitoring
Request flow visualization
Error tracking across services
Dependency analysis
Latency optimization

Quick Start

Minimal working example:

import express from "express";
import { v4 as uuidv4 } from "uuid";

// Async local storage for context
import { AsyncLocalStorage } from "async_hooks";

const traceContext = new AsyncLocalStorage<Map<string, any>>();

interface TraceContext {
  traceId: string;
  spanId: string;
  parentSpanId?: string;
  serviceName: string;
}

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