debug

Guide systematic debugging workflows to reproduce, analyze, fix, and verify errors.

Updated Oct 26, 2025
One-click install
npx skills add https://github.com/mnthe/kdccai-plugin --skill debug
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debug
Source: https://github.com/mnthe/kdccai-plugin/tree/main/skills/debug
Command: npx skills add https://github.com/mnthe/kdccai-plugin --skill debug

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Encountering errors can be frustrating and intimidating for non-developers. This Skill provides a systematic, AI-guided debugging process, helping you identify, understand, and resolve issues in your automation tools without needing deep technical knowledge.

Core Features & Use Cases

  • Guided Error Reproduction: Helps you consistently trigger the error to facilitate accurate analysis.
  • Root Cause Analysis: Goes beyond symptoms to identify the underlying reason for the bug, preventing recurrence.
  • Systematic Fix & Verification: Implements and thoroughly tests solutions, ensuring the problem is truly resolved and documented.
  • Use Case: Your newly built report generator crashes with a KeyError. This Skill guides you to reproduce the error, analyzes the traceback, identifies a missing key in the API response, suggests a code fix, and verifies the solution, explaining the problem in simple terms.

Quick Start

Debug an error in your project

/debug

The skill will ask you to describe the error and

the command you ran. It will then guide you through

reproducing the error, analyzing its cause,

implementing a fix, and verifying that the

solution works, explaining everything in your

preferred language.

Frequently Asked Questions about debug

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

FAQPage Schema
How do I debug errors in my automation scripts and fix them systematically?

Debugging involves reproducing the error consistently, analyzing the root cause from error messages and code context, then implementing and verifying a fix. This Skill guides you through each step—from triggering the error reliably to confirming the solution works and prevents recurrence.

What's the best way to understand why my code is throwing errors?

Root cause analysis goes beyond reading error messages; it traces back to the underlying issue in your logic, dependencies, or data. By reproducing the error in a controlled way and examining the full context—traceback, inputs, and system state—you identify why the failure occurred, not just that it did.

Can I debug errors without deep technical knowledge?

Yes. A systematic debugging workflow removes guesswork by walking you through reproducing errors, collecting relevant information, analyzing what went wrong, testing fixes, and documenting the solution. Each step is guided, making troubleshooting accessible even for non-developers.

How do I verify that a bug fix actually resolved the problem?

Verification means re-running the scenario that triggered the error under the same conditions, confirming it no longer occurs, and updating tests to catch the same bug in the future. This ensures the fix is complete and the problem stays fixed.

What should I do after identifying and fixing a bug in my code?

After fixing the error, test the solution thoroughly to confirm the original problem is resolved, then update or add test cases that cover the bug scenario. This prevents regression and documents the issue for future reference.

Do I need to understand the entire codebase to debug an error?

No. Debugging focuses on the specific area where the error occurs. By reproducing the error and analyzing the traceback, you isolate the problem to a small section of code, making it unnecessary to understand the whole system.