What is the A3 problem analysis format?

A3 is a structured problem-solving approach originated by Toyota that fits a complete analysis, root cause identification, and action plan onto a single page (historically A3 paper size) to ensure conciseness and clarity.

Does this skill help with root cause analysis?

Yes, it specifically includes a dedicated Root Cause Analysis section that encourages using the '5 Whys' or Fishbone methods to dig deeper than immediate symptoms.

Can I use the output in my team's documentation?

Absolutely. The skill generates clean Markdown that is compatible with most documentation platforms like GitHub, Notion, Confluence, and Jira.

How do I trigger the analysis skill?

You can initiate the process by typing '/analyse-problem' followed by a brief description of the issue you want to investigate.

Is this skill compatible with other AI CLIs?

Yes, this skill is part of the Context Engineering Kit and is compatible with Claude Code, OpenCode, Cursor, and other compatible AI agent environments.

A3 Problem Analysis (Kaizen)

Name: A3 Problem Analysis (Kaizen)
Author: NeoLabHQ

byNeoLabHQ

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생산성 및 워크플로

Generates structured, single-page A3 problem-solving reports with deep root cause analysis and actionable implementation plans.

The kaizen:analyse-problem skill implements the industry-standard A3 methodology within your AI-assisted workflow to help teams move beyond surface-level fixes. By guiding users through a structured framework—including background context, current metrics, '5 Whys' root cause analysis, and countermeasures—this skill ensures complex technical or organizational issues are documented concisely and solved permanently. It is an essential tool for conducting incident post-mortems, debugging recurring system bottlenecks, and streamlining development processes through lean principles.

주요 기능

01Action-oriented implementation planning with clear ownership and timelines

02Guided '5 Whys' and Fishbone root cause analysis techniques

03542 GitHub stars

04Structured A3 template for concise, single-page documentation

05Success verification and follow-up framework to prevent recurrence

06Standardized Markdown output for easy integration with GitHub or Jira

사용 사례

01Analyzing recurring software bugs to eliminate systematic technical debt

02Planning and documenting workflow improvements for development teams

03Conducting technical post-mortems after production incidents or outages

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add neolabhq/context-engineering-kit analyse-problem

For use in Claude.ai and ChatGPT

Download Skill