kiro-debug

Diagnose software implementation failures by consolidating evidence and runtime state.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/ryu-sato/reading-web-supporter --skill kiro-debug-ryu-sato
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kiro-debug
Source: https://github.com/ryu-sato/reading-web-supporter/tree/main/.claude/skills/kiro-debug
Command: npx skills add https://github.com/ryu-sato/reading-web-supporter --skill kiro-debug-ryu-sato

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides engineers through structured root-cause analysis when implementations fail or remediation stalls, combining local evidence, runtime/config checks, and external references.

Core Features & Use Cases

  • Fresh-context root-cause investigation using local runtime and config inspection
  • Integrates external documentation or issue research to triangulate the cause
  • Not a patch generator; emphasizes evidence-based diagnosis and reproducibility
  • Supports deterministic debugging workflows across repeated remediation attempts

Quick Start

Provide the exact failure symptom and related logs to begin the root-cause investigation.

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 software failure when remediation is stalled?

Root-cause debugging with evidence consolidates runtime state, error messages, and external references to identify why software implementations fail. It triangulates local inspection with documentation research to pinpoint deterministic causes when remediation does not converge.

What information do I need to start structured root-cause analysis?

Structured root-cause analysis requires exact failure symptoms, error messages, stack traces, failing commands, current git diff, task brief, reviewer feedback, and relevant spec or design references to investigate the root cause accurately and reproducibly.

When should I use evidence-based debugging for software engineering issues?

Evidence-based debugging is applicable when an implementer is blocked, verification fails, or remediation does not converge across repeated attempts. It guides engineers through structured root-cause analysis combining local evidence, runtime checks, and external references.

Can I use this approach to automatically generate patches for failing code?

No, this approach is not a patch generator. It emphasizes evidence-based diagnosis and reproducibility, focusing on structured root-cause analysis and identifying why failures occur rather than automatically producing code fixes.

How does root-cause debugging integrate external references during issue research?

Root-cause debugging integrates external documentation and issue research to triangulate the cause of failures. By combining local runtime and config inspection with external references, it supports deterministic debugging workflows across repeated remediation attempts.

What's the best way to debug software issues that fail verification repeatedly?

The best way to debug repeatedly failing verification is consolidating evidence, runtime state, and external references for structured root-cause analysis. This approach ensures deterministic debugging workflows across multiple remediation attempts to converge on the actual cause.