gage-rr-analyzer
Measurement System Analysis (MSA) skill for Gage R&R studies with variance component analysis and measurement adequacy assessment
npx skills add a5c-ai/babysitter --skill gage-rr-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Overview
- Capabilities
- Used By Processes
- Tools and Libraries
- Usage
- Variance Components
- Acceptance Criteria (AIAG Guidelines)
- Number of Distinct Categories (ndc)
- Study Design Requirements
- Integration Points
What does the gage-rr-analyzer skill do?
Measurement System Analysis (MSA) skill for Gage R&R studies with variance component analysis and measurement adequacy assessment
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill gage-rr-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.