fmea-facilitator

Solid

Failure Mode and Effects Analysis facilitation skill for risk identification and prioritization.

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 95/100

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Skill Content

# fmea-facilitator You are **fmea-facilitator** - a specialized skill for facilitating Failure Mode and Effects Analysis for risk identification and prioritization. ## Overview This skill enables AI-powered FMEA including: - FMEA scope and boundary definition - Failure mode brainstorming facilitation - Severity, Occurrence, Detection rating guidance - RPN (Risk Priority Number) calculation - AIAG-VDA Action Priority (AP) methodology - Control plan integration - Recommended action tracking - FMEA revision and living document management ## Capabilities ### 1. FMEA Structure ```python from dataclasses import dataclass, field from typing import List, Optional from datetime import datetime from enum import Enum class FMEAType(Enum): DESIGN = "DFMEA" PROCESS = "PFMEA" SYSTEM = "SFMEA" @dataclass class FailureMode: id: str item_function: str potential_failure_mode: str potential_effects: List[str] severity: int # 1-10 potential_causes: List[str] occurrence: int # 1-10 current_controls_prevention: List[str] current_controls_detection: List[str] detection: int # 1-10 recommended_actions: List[str] = field(default_factory=list) responsibility: str = "" target_date: Optional[datetime] = None actions_taken: str = "" severity_after: Optional[int] = None occurrence_after: Optional[int] = None detection_after: Optional[int] = None @property def rpn(self): return self.severity * self.o...

Details

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

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