FMEA Facilitator
SkillDev toolsFailure Mode and Effects Analysis facilitation skill for products and processes with risk prioritization and control implementation
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Then ask your AI: use the FMEA Facilitator skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/operations/skills/fmea-facilitator/SKILL.md and read by ahel’s review.
Overview
The FMEA Facilitator skill provides comprehensive capabilities for facilitating Failure Mode and Effects Analysis. It supports both Design FMEA (DFMEA) and Process FMEA (PFMEA), risk prioritization using RPN or AP methodology, and control plan integration.
Capabilities
- DFMEA (Design) facilitation
- PFMEA (Process) facilitation
- Severity/Occurrence/Detection scoring
- RPN (Risk Priority Number) calculation
- Action priority determination
- Control plan integration
- Recommended action tracking
- FMEA revision management
Used By Processes
- QMS-005: FMEA Facilitation
- SIX-005: Root Cause Analysis
- QMS-001: ISO 9001 Implementation
Tools and Libraries
- FMEA software
- AIAG templates
- Risk management tools
- Document management
Usage
skill: fmea-facilitator
inputs:
fmea_type: "process" # design | process
scope: "Assembly process for Widget X"
team:
- "Process Engineer"
- "Quality Engineer"
- "Production Supervisor"
- "Maintenance"
process_steps:
- step: "Install component A"
function: "Secure component to housing"
- step: "Torque fasteners"
function: "Apply specified torque"
methodology: "aiag_vda" # traditional_rpn | aiag_vda
outputs:
- fmea_worksheet
- risk_assessment
- action_plan
- control_plan_inputs
- revision_history
FMEA Process
Step 1: Planning and Preparation
- Define scope
- Assemble team
- Gather process flow
- Review similar FMEAs
Step 2: Structure Analysis
- Identify process steps
- Define functions
- Establish requirements
Step 3: Function Analysis
- Identify failure modes
- Determine effects
- Identify causes
Step 4: Failure Analysis
- Rate Severity
- Rate Occurrence
- Rate Detection
- Calculate risk
Step 5: Risk Analysis
- Prioritize risks
- Identify high-priority items
- Develop recommended actions
Step 6: Optimization
- Implement actions
- Reassess risk
- Update FMEA
Severity, Occurrence, Detection Scales
Severity (S) - Effect on customer
| Rating | Criteria |
|---|---|
| 10 | Safety hazard without warning |
| 9-10 | Safety or regulatory compliance |
| 7-8 | High customer impact |
| 4-6 | Moderate impact |
| 2-3 | Minor impact |
| 1 | No effect |
Occurrence (O) - Frequency of cause
| Rating | Frequency |
|---|---|
| 10 | Very high (>100/1000) |
| 7-8 | High (20-50/1000) |
| 4-6 | Moderate (2-10/1000) |
| 2-3 | Low (<1/1000) |
| 1 | Remote (<0.01/1000) |
Detection (D) - Ability to detect
| Rating | Detection Method |
|---|---|
| 10 | No detection method |
| 7-8 | Low probability of detection |
| 4-6 | Moderate detection |
| 2-3 | High detection probability |
| 1 | Certain detection |
AIAG-VDA Action Priority (AP)
| AP Level | Action Required |
|---|---|
| High | Must take action |
| Medium | Should take action |
| Low | Could take action |
Integration Points
- Control plan systems
- Design systems
- Quality Management Systems
- Risk management platforms
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
fmea-facilitator- Source
- github.com/a5c-ai/babysitter