debug

Localize software defects using deterministic feedback loops and root-cause analysis.

4|Updated Jul 20, 2026

Search Tags:#testing #debugging #reliability #engineering #root-cause #repro

Ready to run

npx skills add https://github.com/highflame-ai/ai-factory --skill debug-highflame-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: debug
Source: https://github.com/highflame-ai/ai-factory/tree/main/skills/debug
Command: npx skills add https://github.com/highflame-ai/ai-factory --skill debug-highflame-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the guesswork in debugging by enforcing a disciplined, spec-driven approach to building deterministic feedback loops, ensuring that bugs are localized and resolved at the root cause rather than through trial and error.

Core Features & Use Cases

Deterministic Feedback Loops: Provides a structured methodology to construct fast, repeatable pass/fail signals for failing tests, broken builds, or unexpected local behavior.
Root-Cause Analysis: Guides the user through the three-whys framework to distinguish between symptoms and underlying defects.
Regression Guarding: Ensures every fix is accompanied by a permanent test case to prevent recurrence and verify the fix in isolation.

Quick Start

Use the debug skill to establish a deterministic feedback loop for the failing test in the current module.

Frequently Asked Questions about debug

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

FAQPage Schema

How do I debug non-deterministic race conditions and failing tests systematically?▼

Debug non-deterministic race conditions by constructing deterministic feedback loops that isolate the defect, applying a root-cause framework to distinguish symptoms from the underlying issue before applying a permanent code fix.

What is a deterministic feedback loop for local software repros?▼

A deterministic feedback loop is a structured methodology to construct fast, repeatable pass/fail signals for failing tests or broken builds, ensuring bugs are localized through a disciplined approach rather than trial and error.

How do I identify the root cause of an integration test failure?▼

Identify the root cause of an integration test failure by applying the three-whys framework to separate symptoms from underlying defects, then verify the root cause rigorously within an isolated test harness before fixing it.

Can I use this debugging approach for environmental discrepancies and unit tests?▼

Yes, this debugging approach applies to unit, integration, and end-to-end test failures, as well as non-deterministic race conditions and environmental discrepancies, provided you can construct an isolated test harness.

How do I prevent software regressions after resolving a defect?▼

Prevent software regressions by ensuring every root-cause fix is accompanied by a permanent test case, which guards against recurrence and verifies the isolated fix within the deterministic feedback loop.

Why does my debugging process rely on trial and error instead of finding the root cause?▼

Your debugging relies on trial and error because it lacks a spec-driven approach to building deterministic feedback loops, which are required to localize and resolve software defects at the actual root cause.