跳到正文
cccskills
免费在 GitHub 公开

nw-five-whys-methodology

Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(1)

  • SKILL.md3.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Five Whys Methodology

Philosophical Foundation

Taiichi Ohno: "By repeating why five times, the nature of the problem as well as its solution becomes clear."

Core tenets: scientific evidence-based investigation | address fundamental causes not symptoms | solve to prevent recurrence | use findings for Kaizen

Multi-Causal Investigation

Complex problems have multiple root causes. Investigate comprehensively:

  • Parallel: investigate all symptoms/conditions simultaneously
  • Branch: follow each cause through all five WHY levels
  • Cross-cause: ensure multiple causes don't contradict
  • Comprehensive: address all root causes, not just primary

WHY Level Definitions

WHY 1: Symptom Investigation

What is immediately observable? Investigate all symptoms. Each branch continues independently. Document verifiable evidence per symptom.

WHY 1A: Path not found [Evidence: file exists but wrong context -- Windows vs WSL paths]
WHY 1B: Permission denied [Evidence: user context mismatch between host and container]
WHY 1C: Timing issues [Evidence: race conditions with file system operations]

WHY 2: Context Analysis

Why does this condition exist? Follow each WHY 1 through context. Check if factors connect multiple causes. Examine system/environment/operational context.

WHY 3: System Analysis

Why do conditions persist? How system enables multiple failure modes. How causes interact systemically. Analyze design/architecture decisions.

WHY 4: Design Analysis

Why not anticipated? Review design assumptions. Identify all design blind spots. Trace decisions to original context.

WHY 5: Root Cause Identification

Fundamental causes. Multiple root causes expected for complex issues. Ensure all contributing causes identified. Focus on deepest level.

Validation and Verification

Evidence Requirements

Each WHY level must have verifiable evidence for all causes. Root causes must explain all symptoms collectively. Solutions must address all root causes.

Backwards Chain Validation

  1. Trace each root cause forward to symptom | 2. "If this exists, would it produce this symptom?" = must be yes
  2. Cross-validate: multiple roots must not contradict | 4. Completeness: "Missing contributing factors?" at each level

Solution Completeness

Every root cause -> corresponding solution | Prevent recurrence, not just mitigate | Use findings for system improvement

Branch Documentation Format

PROBLEM: [clear problem statement]

WHY 1A: [symptom] [Evidence: ...]
  WHY 2A: [context] [Evidence: ...]
    WHY 3A: [system factor] [Evidence: ...]
      WHY 4A: [design factor] [Evidence: ...]
        WHY 5A: [root cause] [Evidence: ...]
        -> ROOT CAUSE A: [fundamental cause]
        -> SOLUTION A: [prevention strategy]

WHY 1B: [symptom] [Evidence: ...]
  WHY 2B: [context] [Evidence: ...]
    ...

CROSS-VALIDATION:
- Root Cause A + Root Cause B: [consistent/contradictory]
- All symptoms explained: [yes/no, gaps if any]

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation

中文简介正在准备中。当前显示原文说明。

nWave-ai/nWave6212026年9月16日 更新

Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation

中文简介正在准备中。当前显示原文说明。

nWave-ai/nWave6212026年9月16日 更新

Review dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton user-centricity, priority validation, observable behavior assertions, traceability coverage, and walking skeleton boundary proof

中文简介正在准备中。当前显示原文说明。

nWave-ai/nWave6212026年9月16日 更新

Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement

中文简介正在准备中。当前显示原文说明。

nWave-ai/nWave6212026年9月16日 更新

5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance

中文简介正在准备中。当前显示原文说明。

nWave-ai/nWave6212026年9月16日 更新

Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.

中文简介正在准备中。当前显示原文说明。

nWave-ai/nWave6212026年9月16日 更新

查看 nWave-ai 的全部技能

报告此技能的问题