kaizen:cause-and-effect

Analyze root causes using Fishbone analysis across six categories.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/luicabref97/sushi-jungle-web --skill kaizen-cause-and-effect-luicabref97
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kaizen:cause-and-effect
Source: https://github.com/luicabref97/sushi-jungle-web/tree/main/.agents/skills/kaizen-cause-and-effect
Command: npx skills add https://github.com/luicabref97/sushi-jungle-web --skill kaizen-cause-and-effect-luicabref97

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provide a structured Fishbone (Ishikawa) analysis to uncover and organize potential causes of recurring problems so teams can identify contributing factors and surface true root causes rather than symptoms.

Core Features & Use Cases

  • Structured Cause Mapping: Break problems into six categories (People, Process, Technology, Environment, Methods, Materials) to ensure comprehensive analysis.
  • Deep "Why" Probing: For each identified cause, prompt iterative "why" questions to move from symptoms to root causes.
  • Prioritization & Solutions: Help prioritize causes by impact and likelihood and propose focused solutions for highest-priority root causes.
  • Use Case: Diagnose API latency, flaky test suites, or long delivery timelines by generating categorized cause lists and recommended actionable fixes.

Quick Start

Use the kaizen:cause-and-effect skill to analyze API response latency and produce a categorized fishbone breakdown with prioritized root causes and suggested solutions.

Frequently Asked Questions about kaizen:cause-and-effect

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

FAQPage Schema
What is root cause analysis and how does a fishbone diagram help find it?

Root cause analysis uncovers true contributing factors instead of symptoms. A fishbone diagram systematically maps potential causes across six categories—People, Process, Technology, Environment, Methods, and Materials—to ensure comprehensive problem diagnosis.

How do I perform an Ishikawa analysis for API latency or flaky tests?

To perform an Ishikawa analysis, map your API latency or flaky tests into six standard categories. Generate categorized cause lists, apply iterative "why" probes to move past symptoms, and prioritize solutions based on impact and likelihood.

When do I need to use root cause analysis for deployment failures?

You need root cause analysis for deployment failures when recurring issues require structured investigation. It breaks down problems into categorized cause lists and applies iterative "why" probing to surface true underlying factors rather than superficial symptoms.

Can I use this fishbone analysis for delayed product features and operations scenarios?

Yes, you can use fishbone analysis for delayed product features and operations scenarios. It systematically categorizes contributing factors across six domains, applies deep "why" probing, and outputs prioritized solution recommendations based on impact and likelihood.

What is the best way to prioritize root causes found during incident analysis?

The best way to prioritize root causes during incident analysis is by evaluating their impact and likelihood. This method generates focused, actionable solution recommendations targeting only the highest-priority underlying factors identified during the structured breakdown.