kaizen:root-cause-tracing
Bugs often manifest deep in the call stack (git init in wrong directory, file created in wrong location, database opened with wrong path). Your instinct is to fix where the error appears, but that's treating a symptom.
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Installation Guide
How to use kaizen:root-cause-tracing on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
kaizen:root-cause-tracing
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches kaizen:root-cause-tracing from neolabhq/context-engineering-kit and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate kaizen:root-cause-tracing. Access via /kaizen:root-cause-tracing in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Root Cause Tracing
Overview
Bugs often manifest deep in the call stack (git init in wrong directory, file created in wrong location, database opened with wrong path). Your instinct is to fix where the error appears, but that's treating a symptom.
Core principle: Trace backward through the call chain until you find the original trigger, then fix at the source.
When to Use
digraph when_to_use {
"Bug appears deep in stack?" [shape=diamond];
"Can trace backwards?" [shape=diamond];
"Fix at symptom point" [shape=box];
"Trace to original trigger" [shape=box];
"BETTER: Also add defense-in-depth" [shape=box];
"Bug appears deep in stack?" -> "Can trace backwards?" [label="yes"];
"Can trace backwards?" -> "Trace to original trigger" [label="yes"];
"Can trace backwards?" -> "Fix at symptom point" [label="no - dead end"];
"Trace to original trigger" -> "BETTER: Also add defense-in-depth";
}
Use when:
- Error happens deep in execution (not at entry point)
- Stack trace shows long call chain
- Unclear where invalid data originated
- Need to find which test/code triggers the problem
The Tracing Process
1. Observe the Symptom
Error: git init failed in /Users/jesse/project/packages/core
2. Find Immediate Cause
What code directly causes this?
await execFileAsync('git', ['init'], { cwd: projectDir });
3. Ask: What Called This?
WorktreeManager.createSessionWorktree(projectDir, sessionId)
→ called by Session.initializeWorkspace()
→ called by Session.create()
→ called by test at Project.create()
4. Keep Tracing Up
What value was passed?
projectDir = ''(empty string!)- Empty string as
cwdresolves toprocess.cwd() - That's the source code directory!
5. Find Original Trigger
Where did empty string come from?
const context = setupCoreTest(); // Returns { tempDir: '' }
Project.create('name', context.tempDir); // Accessed before beforeEach!
Adding Stack Traces
When you can't trace manually, add instrumentation:
// Before the problematic operation
async function gitInit(directory: string) {
const stack = new Error().stack;
console.error('DEBUG git init:', {
directory,
cwd: process.cwd(),
nodeEnv: process.env.NODE_ENV,
stack,
});
await execFileAsync('git', ['init'], { cwd: directory });
}
Critical: Use console.error() in tests (not logger - may not show)
Run and capture:
npm test 2>&1 | grep 'DEBUG git init'
Analyze stack traces:
- Look for test file names
- Find the line number triggering the call
- Identify the pattern (same test? same parameter?)
Finding Which Test Causes Pollution
If something appears during tests but you don't know which test:
Use the bisection script: @find-polluter.sh
./find-polluter.sh '.git' 'src/**/*.test.ts'
Runs tests one-by-one, stops at first polluter. See script for usage.
Real Example: Empty projectDir
Symptom: .git created in packages/core/ (source code)
Trace chain:
git initruns inprocess.cwd()← empty cwd parameter- WorktreeManager called with empty projectDir
- Session.create() passed empty string
- Test accessed
context.tempDirbefore beforeEach - setupCoreTest() returns
{ tempDir: '' }initially
Root cause: Top-level variable initialization accessing empty value
Fix: Made tempDir a getter that throws if accessed before beforeEach
Also added defense-in-depth:
- Layer 1: Project.create() validates directory
- Layer 2: WorkspaceManager validates not empty
- Layer 3: NODE_ENV guard refuses git init outside tmpdir
- Layer 4: Stack trace logging before git init
Key Principle
digraph principle {
"Found immediate cause" [shape=ellipse];
"Can trace one level up?" [shape=diamond];
"Trace backwards" [shape=box];
"Is this the source?" [shape=diamond];
"Fix at source" [shape=box];
"Add validation at each layer" [shape=box];
"Bug impossible" [shape=doublecircle];
"NEVER fix just the symptom" [shape=octagon, style=filled, fillcolor=red, fontcolor=white];
"Found immediate cause" -> "Can trace one level up?";
"Can trace one level up?" -> "Trace backwards" [label="yes"];
"Can trace one level up?" -> "NEVER fix just the symptom" [label="no"];
"Trace backwards" -> "Is this the source?";
"Is this the source?" -> "Trace backwards" [label="no - keeps going"];
"Is this the source?" -> "Fix at source" [label="yes"];
"Fix at source" -> "Add validation at each layer";
"Add validation at each layer" -> "Bug impossible";
}
NEVER fix just where the error appears. Trace back to find the original trigger.
Stack Trace Tips
In tests: Use console.error() not logger - logger may be suppressed
Before operation: Log before the dangerous operation, not after it fails
Include context: Directory, cwd, environment variables, timestamps
Capture stack: new Error().stack shows complete call chain
Real-World Impact
From debugging session (2025-10-03):
- Found root cause through 5-level trace
- Fixed at source (getter validation)
- Added 4 layers of defense
- 1847 tests passed, zero pollution
List & Monetize Your Skill
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Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- AAnika Zhang★★★★★Dec 28, 2024
Keeps context tight: kaizen:root-cause-tracing is the kind of skill you can hand to a new teammate without a long onboarding doc.
- AAnika Harris★★★★★Nov 19, 2024
Registry listing for kaizen:root-cause-tracing matched our evaluation — installs cleanly and behaves as described in the markdown.
- MMichael Flores★★★★★Nov 11, 2024
Useful defaults in kaizen:root-cause-tracing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- AAnika Singh★★★★★Oct 10, 2024
kaizen:root-cause-tracing reduced setup friction for our internal harness; good balance of opinion and flexibility.
- MMichael Lopez★★★★★Oct 2, 2024
I recommend kaizen:root-cause-tracing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- KKwame Diallo★★★★★Sep 21, 2024
Solid pick for teams standardizing on skills: kaizen:root-cause-tracing is focused, and the summary matches what you get after install.
- OOshnikdeep★★★★★Sep 9, 2024
kaizen:root-cause-tracing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- CChinedu Garcia★★★★★Sep 1, 2024
kaizen:root-cause-tracing has been reliable in day-to-day use. Documentation quality is above average for community skills.
- GGanesh Mohane★★★★★Aug 28, 2024
Keeps context tight: kaizen:root-cause-tracing is the kind of skill you can hand to a new teammate without a long onboarding doc.
- CChinedu Gill★★★★★Aug 20, 2024
Solid pick for teams standardizing on skills: kaizen:root-cause-tracing is focused, and the summary matches what you get after install.
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