5why Root Cause Analysis

    by Eric Pi

    1

    Systematic root cause analysis skill to find and fix the source of bugs, not just the symptoms.

    Secure checkout via Stripe

    0 installsSecurity scanned

    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurf+15 more

    See it in action

    You say

    The web worker keeps crashing once an hour under heavy load. Every time I restart it, it happens again. Can you help me find out why?

    Your agent does

    Analysis:

    1. Why? Memory limit reached (Logs: Process OOM)
    2. Why? Heap grows linearly during requests
    3. Why? Response objects aren't garbage collected
    4. Why? Global EventBus is holding references to every request Root cause: Memory leak in event listener registration. Fix: Implementation of .off() in cleanup.

    What you get

    Identify the source of intermittent production failures with evidenceDebug complex memory leaks or performance bottlenecks in distributed systemsAutomate diagnostic log gathering across multi-component boundariesPrevent recurring bugs by engineering permanent root-cause fixes

    About this skill

    Stop patching symptoms—eliminate root causes.

    The 5Why Root Cause Analysis skill transforms your AI agent from a quick-fix bot into a systematic troubleshooter. Based on the industrial-proven Toyota Production System methodology, this skill enforces a rigorous investigative framework to ensure bugs are killed at their source rather than temporarily masked.

    What it does

    When triggered by a bug report or system failure, the skill initiates a multi-phase investigation:

    • Recursive 5Why Inquiry: It systematically peels back layers of causality, preventing "obvious" guesses from clouding the true origin of an error.
    • Evidence-Based Collection: It generates and executes diagnostic commands to verify data at component boundaries before proposing any code changes.
    • Root Cause Identification: It pinpoint failures in logic, environment, or architecture that lead to recurring issues.
    • Permanent Fix Implementation: It outputs solutions that target the terminal "Why," such as adding validation filters or hardening infrastructure, rather than just restarting a service or silencing a warning.

    Why developer teams need this

    Traditional AI prompting often results in "hallucinated fixes" where the agent tries to solve a symptom without understanding the system state. This skill forces the agent to prove its findings with logs and environment checks before touching your codebase, significantly reducing technical debt and regression rates.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

    Not a fit? Get your money back

    Trust & safety

    Security scanned

    Verified clean 1 month ago

    Listed1 month ago

    Creator

    Frequently Asked Questions

    Popular in Testing & QA