Agent Skills: 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.

UncategorizedID: aj-geddes/useful-ai-prompts/intermittent-issue-debugging

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pnpm dlx add-skill https://github.com/aj-geddes/useful-ai-prompts/tree/HEAD/skills/intermittent-issue-debugging

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skills/intermittent-issue-debugging/SKILL.md

Skill Metadata

Name
intermittent-issue-debugging
Description
>

Intermittent Issue Debugging

Table of Contents

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:

// 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