competition-queue-worker-drift

Trace enqueued items through worker processing and retries to identify asynchronous drift.

4|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/xjtu-wang/DigAgent --skill competition-queue-worker-drift
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competition-queue-worker-drift
Source: https://github.com/xjtu-wang/DigAgent/tree/main/.agents/skills/competition-queue-worker-drift
Command: npx skills add https://github.com/xjtu-wang/DigAgent --skill competition-queue-worker-drift

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This downstream skill helps engineers trace and diagnose complex asynchronous queue workflows, linking enqueued items to worker execution and eventual side effects to reveal where behavior diverges from the synchronous path.

Core Features & Use Cases

  • Trace enqueue events: Capture queue names, payload shapes, and timing to map the full lifecycle from enqueue to outcome.
  • Trace worker and retries: Record worker runtime state, retry counts, backoffs, dedupe keys, and dead-letter routing to diagnose drift.
  • Use Case: When debugging delayed side effects or failed jobs, use this skill to isolate where the asynchronous path diverges from expectations and reproduce the smallest enqueue-to-side-effect chain.

Quick Start

Map the enqueue sequence, trace the worker runtime, and record retries to reproduce the decisive async drift.

Frequently Asked Questions about competition-queue-worker-drift

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

FAQPage Schema
How do I trace async queue payload drift end-to-end?

Trace async queue payload drift by capturing enqueue payload shapes, worker runtime state, retry counts, and dead-letter routing to reveal where behavior diverges from the synchronous path.

Why does my async worker retry sequence diverge from the expected workflow?

Async worker retry sequences diverge due to untracked backoffs, dedupe keys, or dead-letter routing; recording worker runtime state and retry metadata isolates where the asynchronous drift occurs.

How do I debug delayed side effects in enqueued items?

Debug delayed side effects in enqueued items by mapping the enqueue identity, tracing worker runtime state, and recording downstream effects to reproduce the smallest enqueue-to-side-effect chain.

What is the best way to reproduce a failed job dead-letter routing scenario?

Reproduce a failed job dead-letter routing scenario by tracing queue names, payload shapes, and retry metadata in a controlled sandbox environment to document the end-to-end lifecycle.

Can I use this to trace queue workflows in a controlled sandbox environment?

Yes, you can trace queue workflows in a controlled sandbox environment; this approach applies to debugging queue-based workflows, async workers, retries, and dead-letter handling to map reproducible chains.

When do I need to map enqueue identity and downstream effects for async debugging?

Map enqueue identity and downstream effects for async debugging when delayed side effects or failed jobs occur, ensuring you capture the full lifecycle from enqueue to outcome to isolate divergence.