pre-debug-check

Load known anti-patterns and recurring bugs before debugging fixes.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/nhouseholder/nicks-claude-code-superpowers --skill pre-debug-check
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pre-debug-check
Source: https://github.com/nhouseholder/nicks-claude-code-superpowers/tree/main/skills/pre-debug-check
Command: npx skills add https://github.com/nhouseholder/nicks-claude-code-superpowers --skill pre-debug-check

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify and consult known anti-patterns and recurring bugs before attempting any fix.

Core Features & Use Cases

  • Load Known Anti-Patterns and Recurring Bugs: Access prior failure records to guide current debugging efforts.
  • Barrier & Escalation Detection: Detect routine bottlenecks or repeating issues and escalate when architectural changes are required.
  • Guided Debug Workflow: Suggest next steps and guardrails to minimize wasted tokens and time during debugging.

Quick Start

Trigger pre-debug-check automatically when an error is detected, then review past anti-patterns and recurring bugs before attempting a fix.

Frequently Asked Questions about pre-debug-check

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

FAQPage Schema
How do I check for recurring bugs and known anti-patterns before attempting a fix?

Known anti-patterns are loaded from prior failure records and searched to identify recurring bugs before you start debugging. This process surfaces historical issues and escalation guidance to prevent repeating ineffective fixes during your workflow.

What is the best way to automate debugging workflows and avoid repeating past mistakes?

Automating debugging workflows involves triggering a pre-check on error detection to load past failures and report findings. This guided approach provides next steps and guardrails that minimize wasted tokens and time during execution.

When should I escalate an issue during a debugging workflow?

You should escalate during a debugging workflow when mid-execution barriers or repeating issues indicate architectural changes are required. Escalation detection monitors for these routine bottlenecks to adjust your debugging strategy accordingly.

Can I use pre-debug barrier detection to manage errors and prevent wasted tokens?

Yes, barrier detection monitors mid-execution bottlenecks and recurring bugs to manage errors and prevent wasted tokens. By consulting known anti-patterns before fixes, it provides guardrails and adjusts the debugging strategy to minimize wasted effort.

What are the limitations of relying on past failure records for error management?

Relying on past failure records for error management is limited when novel issues arise that do not match known anti-patterns. If patterns indicate repeated failures requiring architectural changes, the system escalates rather than attempting routine debugging fixes.