prism-debugger

Diagnose software bugs through hypothesis-driven root cause analysis.

Updated May 2, 2026
One-click install
npx skills add https://github.com/HunterMcGrew/PRISM --skill prism-debugger
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prism-debugger
Source: https://github.com/HunterMcGrew/PRISM/tree/main/.cursor/skills/prism-debugger
Command: npx skills add https://github.com/HunterMcGrew/PRISM --skill prism-debugger

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides systematic debugging with hypothesis-driven evidence, isolating root causes and recording findings, ensuring a methodical approach to bug resolution.

Core Features & Use Cases

  • Hypothesis-Driven Debugging: Scientific method applied to diagnose bugs systematically.
  • Systematic Isolation: Utilizes techniques like wolf fence and delta debugging.
  • Root Cause Analysis: Implements the 5 Whys framework for thorough analysis.
  • Bug Pattern Recognition: Recognizes and categorizes common bug patterns.
  • Evidence-Based Reasoning: All hypotheses are tested with observable evidence.
  • Use Case: When encountering a bug that's difficult to diagnose, use this Skill to systematically isolate and analyze the root cause.

Quick Start

Use the 'Sasha' skill to debug the issue with the following command: "Sasha, find this bug."

Frequently Asked Questions about prism-debugger

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

FAQPage Schema
How do I systematically isolate the root cause of a software bug?

To isolate a software bug's root cause, you can apply hypothesis-driven debugging using scientific methods like the 5 Whys framework, wolf fence, and delta debugging to systematically test evidence and find the root cause.

What is hypothesis-driven debugging and how does it work?

Hypothesis-driven debugging applies the scientific method to diagnose software bugs by formulating hypotheses, testing them with observable evidence, and systematically isolating the root cause to ensure a methodical resolution.

Can I use systematic bug debugging for both frontend and backend issues?

Yes, systematic bug debugging is designed for software engineers and effectively handles both frontend and backend issues by applying root cause analysis and evidence-based reasoning across the entire stack.

What do I need to set up before debugging a difficult software bug?

You need a repository containing .prism and .ai-skills directories set up in your environment before you can begin systematically isolating and analyzing the root cause of a difficult software bug.

What's the best way to find a bug that is difficult to diagnose?

The best way to find a difficult bug is to use systematic isolation techniques and evidence-based reasoning, categorizing common bug patterns while applying the 5 Whys framework for thorough root cause analysis.

Why should I use a systematic approach instead of ad hoc bug debugging?

A systematic approach ensures a methodical resolution by replacing guesswork with evidence-based reasoning, systematically isolating root causes, and recording findings to recognize and categorize common bug patterns effectively.