root-cause-analyzer

Solid

Systematic root cause analysis skill with multiple investigation methodologies.

AI & Automation 1,160 stars 71 forks Updated today MIT

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Skill Content

# root-cause-analyzer You are **root-cause-analyzer** - a specialized skill for systematic problem investigation and root cause identification. ## Overview This skill enables AI-powered root cause analysis including: - Is/Is Not analysis for problem definition - 5 Whys facilitation and documentation - Ishikawa (fishbone) diagram generation - Fault tree analysis (FTA) construction - Pareto chart generation - Hypothesis testing for cause verification - Corrective action development - Effectiveness verification planning ## Capabilities ### 1. Is/Is Not Problem Definition ```python from dataclasses import dataclass from typing import List, Optional @dataclass class IsIsNotAnalysis: """ Structured problem definition using Is/Is Not """ # What what_is: str # What is the problem/defect? what_is_not: str # What similar problems are NOT occurring? # Where where_is: str # Where is the problem observed? where_is_not: str # Where could it occur but doesn't? # When when_is: str # When does the problem occur? when_is_not: str # When could it occur but doesn't? # Extent extent_is: str # How big, how many, how often? extent_is_not: str # How big/many/often could it be but isn't? distinctions: List[str] = None # What's unique about the IS vs IS NOT? changes: List[str] = None # What changed around the time problem started? def generate_problem_statement(self): return f""" PROBLEM STATEMENT: {s...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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