diagnose

Diagnose software defects through a structured six-phase debugging loop.

28|3|Updated Apr 28, 2026

Search Tags:#debugging #troubleshooting #root cause analysis #software maintenance #regression testing #reproducibility

Ready to run

npx skills add https://github.com/Minara-AI/cc-connect --skill diagnose-minara-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: diagnose
Source: https://github.com/Minara-AI/cc-connect/tree/main/.claude/skills/diagnose
Command: npx skills add https://github.com/Minara-AI/cc-connect --skill diagnose-minara-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the problem of aimless, trial-and-error debugging by enforcing a rigorous, scientific method for isolating and fixing hard-to-reproduce software defects and performance regressions.

Core Features & Use Cases

Feedback Loop Construction: Provides a structured framework to build deterministic test harnesses, ranging from unit tests to human-in-the-loop scripts.
Hypothesis-Driven Debugging: Forces the generation of falsifiable hypotheses before any code changes are made, preventing premature or incorrect fixes.
Regression Prevention: Guides the creation of targeted regression tests to ensure the bug remains fixed and the codebase architecture is improved.

Quick Start

Invoke the diagnose skill to begin a structured debugging session for the reported issue by following the guided reproduction and hypothesis phases.

Frequently Asked Questions about diagnose

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

FAQPage Schema

How do I debug complex bugs that are hard to reproduce?▼

Debugging hard-to-reproduce bugs requires a structured six-phase loop that builds deterministic test harnesses and generates falsifiable hypotheses before code changes. This enforces verifiable, permanent fixes instead of trial-and-error.

What is hypothesis-driven debugging?▼

Hypothesis-driven debugging forces you to generate falsifiable hypotheses before modifying code, ensuring systematic root cause analysis. By testing assumptions within a deterministic feedback loop, it isolates software defects and prevents incorrect fixes.

How do I find the root cause of a software performance regression?▼

Root cause analysis for performance regression uses a structured debugging loop to isolate variables and establish reproducibility. By documenting hypotheses and running targeted tests, you systematically identify the exact defect causing degradation.

Can I use systematic troubleshooting for any technical codebase?▼

Systematic troubleshooting applies to complex bug triaging and root cause investigation in technical codebases. It requires establishing a deterministic feedback loop, making it suitable for software maintenance across various platforms.

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

Preventing regressions involves creating targeted regression tests immediately after isolating a software defect. This guided practice ensures the bug remains permanently fixed and improves the overall codebase architecture against future issues.

What's the best way to establish a deterministic feedback loop for software maintenance?▼

The best way to establish a deterministic feedback loop is building structured test harnesses, ranging from unit tests to human-in-the-loop scripts. This reproducibility framework isolates variables and validates falsifiable hypotheses during debugging.