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kaizen:why

kaizen:why

github.com/neolabhqProductivity1.8k425 installsUpdated 9w ago
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About kaizen:why

A skill for applying Five Whys analysis to investigate issues and identify root causes. It guides users from a clearly stated problem through validation and solution proposals that address underlying causes.

Key features

  1. 01Iterative Five Whys analysis
  2. 02Adjustable analysis depth
  3. 03Backward validation of root causes
  4. 04Branching analysis for multiple causes
  5. 05Root-cause-focused solution proposals

Use cases

  1. 01Investigate recurring production errors
  2. 02Trace intermittent CI/CD failures
  3. 03Analyze delays across multiple contributing areas

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/neolabhq/context-engineering-kit --skill kaizen:why

After installing, type/kaizen:whyin Claude Code to confirm it loaded.

Details

From the project README

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

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