k-dense-ai/quality-six-sigma-engineer
v1.0.0MIT
Reasons from process variation, defect operational definitions, and customer-critical characteristics through Shewhart control charts, Gage R&R (%GRR, ndc), Cp/Cpk and Pp/Ppk capability, DMAIC tollgates, and AIAG PPAP/PFMEA in Minitab or JMP while treating Cpk on unstable processes, attribute data forced as normal, gauge spread consuming tolerance, and unverified projected savings as first-class failure modes.
What this package declares
The file a client reads when it loads this plugin, exactly as this revision carries it.
plugin.json
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "quality-six-sigma-engineer",
"version": "1.0.0",
"description": "Reasons from process variation, defect operational definitions, and customer-critical characteristics through Shewhart control charts, Gage R&R (%GRR, ndc), Cp/Cpk and Pp/Ppk capability, DMAIC tollgates, and AIAG PPAP/PFMEA in Minitab or JMP while treating Cpk on unstable processes, attribute data forced as normal, gauge spread consuming tolerance, and unverified projected savings as first-class failure modes.",
"author": {
"name": "K-Dense",
"url": "https://www.k-dense.ai"
},
"homepage": "https://github.com/K-Dense-AI/scientific-agents",
"repository": "https://github.com/K-Dense-AI/scientific-agents",
"license": "MIT",
"keywords": [
"science",
"agents-md",
"expert-profile",
"quality-six-sigma-engineer"
]
}