/root-cause-investigator
Systematic root cause analysis for errors, bugs, and unexpected behaviors using 5-Why methodology. Use when user reports errors, build failures, test failures, performance issues, integration problems, or any "it's not working" scenarios.
Claude Code
$ npx -y skills add umputun/cc-thingz --skill root-cause-investigator --agent claude-code
Codex
$ npx skills add umputun/cc-thingz --skill root-cause-investigator -a codex -y
Cursor
$ npx skills add umputun/cc-thingz --skill root-cause-investigator -a cursor -y
Gemini CLI
$ npx skills add umputun/cc-thingz --skill root-cause-investigator -a gemini-cli -y
GitHub Copilot
$ npx skills add umputun/cc-thingz --skill root-cause-investigator -a github-copilot -y
OpenCode
$ npx skills add umputun/cc-thingz --skill root-cause-investigator -a opencode -y
Windsurf
$ npx skills add umputun/cc-thingz --skill root-cause-investigator -a windsurf -y
SKILL.md
root-cause-investigator.SKILL.mdname: root-cause-investigator
description: Systematic root cause analysis for errors, bugs, and unexpected behaviors using 5-Why methodology. Use when user reports errors, build failures, test failures, performance issues, integration problems, or any "it's not working" scenarios.
Root Cause Investigator
Apply systematic 5-Why methodology to identify fundamental root causes of issues rather than treating symptoms. Guide thorough investigation through structured evidence gathering and analysis.
Activation Triggers
- errors, bugs, or unexpected behavior
- build failures or test failures
- performance issues or degradation
- integration problems
- any "it's not working" scenarios
The 5-Why Methodology
Systematically ask "why" five times to drill down to root cause:
1. **Why #1**: identify immediate cause (symptoms) 2. **Why #2**: uncover process/workflow issues 3. **Why #3**: find system-level problems 4. **Why #4**: discover design/architecture issues 5. **Why #5**: reveal fundamental root cause
Investigation Workflow
1. Gather Initial Context
Collect information about the issue:
## Issue Summary
[brief description of reported problem]
## Initial Symptoms
- what user is experiencing
- error messages or logs
- observable behavior
## Context Gathering
- environment details
- recent changes
- related components
- steps to reproduce
2. Apply 5-Why Analysis
Structure the investigation with progressive depth:
## 5-Why Analysis
### Why #1: [surface cause]
Evidence: [logs, errors, behavior]
Impact: [what this affects]
### Why #2: [deeper cause]
Evidence: [code, configuration]
Impact: [cascading effects]
### Why #3: [system cause]
Evidence: [architecture, dependencies]
Impact: [broader implications]
### Why #4: [process/design cause]
Evidence: [patterns, decisions]
Impact: [long-term effects]
### Why #5: [root cause]
Evidence: [fundamental issue]
Impact: [core problem]
3. Identify Root Cause
Document the fundamental issue requiring attention:
## Root Cause Identified
[the fundamental issue that needs addressing]
## Recommended Investigation Areas
- specific files to examine
- components to test
- systems to verify
Investigation Principles
1. **Avoid solution bias** - focus on understanding before fixing 2. **Gather evidence** - don't assume, verify with data 3. **Consider multiple causes** - issues often have multiple contributing factors 4. **Document findings** - clear documentation prevents repeat issues 5. **Think systemically** - consider broader implications 6. **Question assumptions** - challenge "it should work" thinking 7. **Use version control** - check when issue was introduced
Using Reference Materials
Load reference files as needed during investigation:
- **references/patterns.md** - common root cause patterns by category (configuration, race conditions, resource exhaustion, integration failures, build/deployment issues)
- **references/techniques.md** - investigation techniques with command examples (error analysis, code investigation, dependency analysis, environment investigation)
Best Practices
- resist proposing solutions until root cause is identified
- be thorough and methodical
- document evidence at each level of analysis
- verify assumptions with concrete data
- consider the issue from multiple perspectives (technical, environmental, architectural, external dependencies, process)
The goal is to find the fundamental cause, not just fix symptoms.
Read more
name: root-cause-investigator description: Systematic root cause analysis for errors, bugs, and unexpected behaviors using 5-Why methodology. Use when user reports errors, build failures, test failures, performance issues, integration problems, or any "it's not working" scenarios.
Root Cause Investigator
Apply systematic 5-Why methodology to identify fundamental root causes of issues rather than treating symptoms. Guide thorough investigation through structured evidence gathering and analysis.
Activation Triggers
- errors, bugs, or unexpected behavior
- build failures or test failures
- performance issues or degradation
- integration problems
- any "it's not working" scenarios
The 5-Why Methodology
Systematically ask "why" five times to drill down to root cause:
1. **Why #1**: identify immediate cause (symptoms) 2. **Why #2**: uncover process/workflow issues 3. **Why #3**: find system-level problems 4. **Why #4**: discover design/architecture issues 5. **Why #5**: reveal fundamental root cause
Investigation Workflow
1. Gather Initial Context
Collect information about the issue:
## Issue Summary [brief description of reported problem] ## Initial Symptoms - what user is experiencing - error messages or logs - observable behavior ## Context Gathering - environment details - recent changes - related components - steps to reproduce
2. Apply 5-Why Analysis
Structure the investigation with progressive depth:
## 5-Why Analysis ### Why #1: [surface cause] Evidence: [logs, errors, behavior] Impact: [what this affects] ### Why #2: [deeper cause] Evidence: [code, configuration] Impact: [cascading effects] ### Why #3: [system cause] Evidence: [architecture, dependencies] Impact: [broader implications] ### Why #4: [process/design cause] Evidence: [patterns, decisions] Impact: [long-term effects] ### Why #5: [root cause] Evidence: [fundamental issue] Impact: [core problem]
3. Identify Root Cause
Document the fundamental issue requiring attention:
## Root Cause Identified [the fundamental issue that needs addressing] ## Recommended Investigation Areas - specific files to examine - components to test - systems to verify
Investigation Principles
1. **Avoid solution bias** - focus on understanding before fixing 2. **Gather evidence** - don't assume, verify with data 3. **Consider multiple causes** - issues often have multiple contributing factors 4. **Document findings** - clear documentation prevents repeat issues 5. **Think systemically** - consider broader implications 6. **Question assumptions** - challenge "it should work" thinking 7. **Use version control** - check when issue was introduced
Using Reference Materials
Load reference files as needed during investigation:
- **references/patterns.md** - common root cause patterns by category (configuration, race conditions, resource exhaustion, integration failures, build/deployment issues)
- **references/techniques.md** - investigation techniques with command examples (error analysis, code investigation, dependency analysis, environment investigation)
Best Practices
- resist proposing solutions until root cause is identified
- be thorough and methodical
- document evidence at each level of analysis
- verify assumptions with concrete data
- consider the issue from multiple perspectives (technical, environmental, architectural, external dependencies, process)
The goal is to find the fundamental cause, not just fix symptoms.
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Questions about root-cause-investigator.
- Which coding agents can use root-cause-investigator?
- root-cause-investigator installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

