Measurement System Analysis (MSA) skill for Gage R&R studies with variance component analysis and measurement adequacy assessment
Scanned 9/2/2026
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npx -y skills add a5c-ai/babysitter --skill gage-rr-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: gage-rr-analyzer
description: Measurement System Analysis (MSA) skill for Gage R&R studies with variance component analysis and measurement adequacy assessment
allowed-tools:
- Read
- Write
- Glob
- Grep
- Edit
metadata:
specialization: operations
domain: business
category: six-sigma-spc
graph:
domains: [domain:operations]
skillAreas: [skill-area:statistical-analysis, skill-area:data-analytics, skill-area:business-analysis]
workflows: [workflow:vendor-onboarding, workflow:vendor-evaluation]
roles: [role:operations-analyst, role:data-analyst, role:business-analyst]
---
# Gage R&R Analyzer
## Overview
The Gage R&R Analyzer skill provides comprehensive capabilities for conducting Measurement System Analysis (MSA) studies. It supports Gage R&R study design, ANOVA-based variance decomposition, and measurement system adequacy assessment following AIAG guidelines.
## Capabilities
- Gage R&R study design
- ANOVA variance decomposition
- Repeatability analysis
- Reproducibility analysis
- %GRR calculation
- Number of distinct categories
- Measurement bias and linearity
- Acceptance criteria evaluation
## Used By Processes
- SIX-004: Measurement System Analysis
- SIX-002: Statistical Process Control Implementation
- QMS-003: Quality Audit Management
## Tools and Libraries
- Minitab API
- Statistical analysis packages
- Calibration management systems
- Data collection tools
## Usage
```yaml
skill: gage-rr-analyzer
inputs:
study_type: "crossed" # crossed | nested
operators: 3
parts: 10
trials: 3
measurements:
- operator: "A"
part: 1
trial: 1
value: 10.2
# ... additional measurements
tolerance: 1.6 # USL - LSL
outputs:
- variance_components
- percent_grr
- percent_tolerance
- ndc
- acceptance_decision
- detailed_report
```
## Variance Components
| Component | Source | Description |
|-----------|--------|-------------|
| Part-to-Part | Process | Variation between parts |
| Repeatability | Equipment | Variation from repeated measurements |
| Reproducibility | Operator | Variation between operators |
| Part x Operator | Interaction | Operator effect varies by part |
## Acceptance Criteria (AIAG Guidelines)
| %GRR | Decision |
|------|----------|
| < 10% | Acceptable |
| 10% - 30% | Marginal, may be acceptable |
| > 30% | Unacceptable |
## Number of Distinct Categories (ndc)
```
ndc = 1.41 * (Part Variation / GRR)
Interpretation:
- ndc >= 5: Adequate measurement system
- ndc < 5: Measurement system needs improvement
```
## Study Design Requirements
| Study Type | Minimum Parts | Minimum Operators | Minimum Trials |
|------------|---------------|-------------------|----------------|
| Standard | 10 | 3 | 2-3 |
| Attribute | 30 | 3 | 3 |
| Destructive | Use nested design | 3 | 1 |
## Integration Points
- Calibration management systems
- Quality Management Systems
- Statistical analysis software
- Training management systems
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