kiro-debug

Diagnose root-cause failures using runtime data, configuration inspection, and documentation.

Updated Apr 17, 2026
One-click install
npx skills add https://github.com/notta50/korenani --skill kiro-debug-notta50
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kiro-debug
Source: https://github.com/notta50/korenani/tree/main/.claude/skills/kiro-debug
Command: npx skills add https://github.com/notta50/korenani --skill kiro-debug-notta50

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Investigate implementation failures using root-cause-first debugging. Use when an implementer is blocked, verification fails, or repeated remediation does not converge.

Core Features & Use Cases

  • Combines local evidence, runtime/config inspection, and external documentation or issue research when available.
  • Not a patch generator for guess-first debugging.
  • Useful across blocked development, failing validations, and recurring remediation loops.

Quick Start

Provide a failure summary and run kiro-debug to begin root-cause analysis.

Frequently Asked Questions about kiro-debug

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

FAQPage Schema
How do I find the root cause of a recurring software failure?

Root-cause debugging investigates implementation failures by combining local runtime data, configuration inspection, and external documentation to diagnose recurring issues. It produces structured outputs like ROOT_CAUSE and FIX_PLAN to guide remediation instead of guessing patches.

What is the best way to debug a blocked implementation when verification fails?

Debugging a blocked implementation involves root-cause-first analysis that examines runtime evidence and configuration states. This approach identifies why verification fails and outputs a structured FIX_PLAN and VERIFICATION step to unblock progress.

How do I start a root-cause analysis when my repeated remediation does not converge?

To start root-cause analysis for non-converging remediation, provide a failure summary to initiate the investigation. The process inspects local evidence and external documentation to generate a categorized ROOT_CAUSE and NEXT_ACTION for targeted remediation.

Does root-cause debugging work for validation failures across different software tasks?

Root-cause debugging is applicable to validation failures across software tasks by inspecting local runtime data and configuration. It generates a structured CONFIDENCE score and VERIFICATION steps to ensure the identified failure category is accurately addressed.

When should I avoid guess-first debugging and use root-cause investigation instead?

You should use root-cause investigation instead of guess-first debugging when an implementer is blocked or repeated remediation loops fail to converge. This method relies on local evidence and runtime inspection rather than generating immediate patches.

What structured outputs can I expect from a root-cause debugging investigation?

A root-cause debugging investigation produces structured outputs including ROOT_CAUSE, CATEGORY, FIX_PLAN, VERIFICATION, NEXT_ACTION, and CONFIDENCE. These structured results guide remediation by providing a clear path from diagnosis to verified resolution.