Agent skill

intermittent-issue-debugging

Debug issues that occur sporadically and are hard to reproduce. Use monitoring and systematic investigation to identify root causes of flaky behavior.

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Install this agent skill to your Project

npx add-skill https://github.com/aj-geddes/useful-ai-prompts/tree/main/skills/intermittent-issue-debugging

SKILL.md

Intermittent Issue Debugging

Table of Contents

  • Overview
  • When to Use
  • Quick Start
  • Reference Guides
  • Best Practices

Overview

Intermittent issues are the most difficult to debug because they don't occur consistently. Systematic approach and comprehensive monitoring are essential.

When to Use

  • Sporadic errors in logs
  • Users report occasional issues
  • Flaky tests
  • Race conditions suspected
  • Timing-dependent bugs
  • Resource exhaustion issues

Quick Start

Minimal working example:

javascript
// Strategy 1: Comprehensive Logging
// Add detailed logging around suspected code

function processPayment(orderId) {
  const startTime = Date.now();
  console.log(`[${startTime}] Payment start: order=${orderId}`);

  try {
    const result = chargeCard(orderId);
    console.log(`[${Date.now()}] Payment success: ${orderId}`);
    return result;
  } catch (error) {
    const duration = Date.now() - startTime;
    console.error(`[${Date.now()}] Payment FAILED:`, {
      order: orderId,
      error: error.message,
      duration_ms: duration,
      error_type: error.constructor.name,
      stack: error.stack,
    });
    throw error;
  }
}

// Strategy 2: Correlation IDs
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide Contents
Capturing Intermittent Issues Capturing Intermittent Issues
Common Intermittent Issues Common Intermittent Issues
Systematic Investigation Process Systematic Investigation Process
Monitoring & Prevention Monitoring & Prevention

Best Practices

✅ DO

  • Follow established patterns and conventions
  • Write clean, maintainable code
  • Add appropriate documentation
  • Test thoroughly before deploying

❌ DON'T

  • Skip testing or validation
  • Ignore error handling
  • Hard-code configuration values

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