Guide and automate Gage R&R and attribute MSA studies with AIAG-aligned calculations.
npx skills add https://github.com/robdtaylor/personal-ai-infrastructure --skill msa
Please help me install this Agent Skill. Skill: Msa Source: https://github.com/robdtaylor/personal-ai-infrastructure/tree/main/skills/Msa Command: npx skills add https://github.com/robdtaylor/personal-ai-infrastructure --skill msa
This skill standardizes and validates measurement systems by guiding Gage R&R and MSA analyses to separate process variation from measurement error.
Run an initial Gage R&R study using the included templates to collect measurements from multiple operators and parts, then feed the data into the MSA analyzer.
High-intent search queries and answers about installing and using this skill.
A Gage R&R study separates process variation from measurement error by guiding data collection across multiple parts and operators, then calculating %GR&R, PV, and TV metrics to evaluate gage fitness for production line use.
Variable MSA evaluates continuous measurements using metrics like ndc and %GR&R, whereas attribute agreement analysis evaluates categorical pass/fail decisions across operators to determine inspection reliability and measurement system bias.
To calculate ndc and %GR&R for an AIAG-aligned MSA, input operator and part measurement data into the analyzer to automatically yield these metrics alongside interpretation notes for evaluating gage fitness.
Yes, this MSA analyzer supports attribute agreement studies on a production line by evaluating categorical inspection data across multiple operators to determine measurement system reliability and pass/fail consistency.
Gage R&R integrates with SPC and control plan workflows by providing validated measurement system metrics, ensuring that statistical process control decisions are based on reliable and separated process variation data.
To start a measurement system analysis project, use the included templates to collect measurements from multiple operators and parts, then feed the structured data directly into the MSA analyzer for automated evaluation.
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