Intermittent Issue Debugging
SkillMonitoring & opsDebug issues that occur sporadically and are hard to reproduce. Use monitoring and systematic investigation to identify root causes of flaky behavior.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Intermittent Issue Debugging skill
What this skill tells your AI
The instructions your AI receives, as published by aj-geddes/useful-ai-prompts in skills/intermittent-issue-debugging/SKILL.md and read by ahel’s review.
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:
// 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
Signals
- GitHub stars
- 336
- Forks
- 55
- Last commit
- Mar 2026
Advanced
- Catalog kind
- skill
- Gateway key
intermittent-issue-debugging- Source
- github.com/aj-geddes/useful-ai-prompts