intermittent-issue-debugging
>
Works with
---
name: intermittent-issue-debugging
description: >
license: MIT
---
# Intermittent Issue Debugging
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#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](references/capturing-intermittent-issues.md) | Capturing Intermittent Issues |
| [Common Intermittent Issues](references/common-intermittent-issues.md) | Common Intermittent Issues |
| [Systematic Investigation Process](references/systematic-investigation-process.md) | Systematic Investigation Process |
| [Monitoring & Prevention](references/monitoring-prevention.md) | 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 valuesMore Debugging skills
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.

