kaizen:why
Iterative Five Whys root cause analysis drilling from symptoms to fundamentals
Best use case
kaizen:why is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Iterative Five Whys root cause analysis drilling from symptoms to fundamentals
Teams using kaizen:why should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/why/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How kaizen:why Compares
| Feature / Agent | kaizen:why | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Iterative Five Whys root cause analysis drilling from symptoms to fundamentals
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Five Whys Analysis Apply Five Whys root cause analysis to investigate issues by iteratively asking "why" to drill from symptoms to root causes. ## Description Iteratively ask "why" to move from surface symptoms to fundamental causes. Identifies systemic issues rather than quick fixes. ## Usage `/why [issue_description]` ## Variables - ISSUE: Problem or symptom to analyze (default: prompt for input) - DEPTH: Number of "why" iterations (default: 5, adjust as needed) ## Steps 1. State the problem clearly 2. Ask "Why did this happen?" and document the answer 3. For that answer, ask "Why?" again 4. Continue until reaching root cause (usually 5 iterations) 5. Validate by working backwards: root cause → symptom 6. Explore branches if multiple causes emerge 7. Propose solutions addressing root causes, not symptoms ## Examples ### Example 1: Production Bug ``` Problem: Users see 500 error on checkout Why 1: Payment service throws exception Why 2: Request timeout after 30 seconds Why 3: Database query takes 45 seconds Why 4: Missing index on transactions table Why 5: Index creation wasn't in migration scripts Root Cause: Migration review process doesn't check query performance Solution: Add query performance checks to migration PR template ``` ### Example 2: CI/CD Pipeline Failures ``` Problem: E2E tests fail intermittently Why 1: Race condition in async test setup Why 2: Test doesn't wait for database seed completion Why 3: Seed function doesn't return promise Why 4: TypeScript didn't catch missing return type Why 5: strict mode not enabled in test config Root Cause: Inconsistent TypeScript config between src and tests Solution: Unify TypeScript config, enable strict mode everywhere ``` ### Example 3: Multi-Branch Analysis ``` Problem: Feature deployment takes 2 hours Branch A (Build): Why 1: Docker build takes 90 minutes Why 2: No layer caching Why 3: Dependencies reinstalled every time Why 4: Cache invalidated by timestamp in Dockerfile Root Cause A: Dockerfile uses current timestamp for versioning Branch B (Tests): Why 1: Test suite takes 30 minutes Why 2: Integration tests run sequentially Why 3: Test runner config has maxWorkers: 1 Why 4: Previous developer disabled parallelism due to flaky tests Root Cause B: Flaky tests masked by disabling parallelism Solutions: A) Remove timestamp from Dockerfile, use git SHA B) Fix flaky tests, re-enable parallel test execution ``` ## Notes - Don't stop at symptoms; keep digging for systemic issues - Multiple root causes may exist - explore different branches - Document each "why" for future reference - Consider both technical and process-related causes - The magic isn't in exactly 5 whys - stop when you reach the true root cause - Stop when you hit systemic/process issues, not just technical details - Multiple root causes are common—explore branches separately - If "human error" appears, keep digging: why was error possible? - Document every "why" for future reference - Root cause usually involves: missing validation, missing docs, unclear process, or missing automation - Test solutions: implement → verify symptom resolved → monitor for recurrence
Related Skills
kaizen:analyse
Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target
kaizen:kaizen
Use when Code implementation and refactoring, architecturing or designing systems, process and workflow improvements, error handling and validation. Provide tehniquest to avoid over-engineering and apply iterative improvements.
kaizen:plan-do-check-act
Iterative PDCA cycle for systematic experimentation and continuous improvement
kaizen:analyse-problem
Comprehensive A3 one-page problem analysis with root cause and action plan
context7-auto-research
Automatically fetch latest library/framework documentation for Claude Code via Context7 API
context-optimization
Apply compaction, masking, and caching strategies
context-driven-development
Use this skill when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md, and...
content-research-writer
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
content-marketer
Elite content marketing strategist specializing in AI-powered content creation, omnichannel distribution, SEO optimization, and data-driven performance marketing.
conductor-validator
Validates Conductor project artifacts for completeness, consistency, and correctness. Use after setup, when diagnosing issues, or before implementation to verify project context.
conductor-setup
Initialize project with Conductor artifacts (product definition, tech stack, workflow, style guides)
concise-planning
Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.