Can this skill help with Statistical Process Control (SPC)?

Yes, it provides guidance on selecting appropriate charts (X-bar/R, I-MR, etc.) and interpreting Western Electric Rules to identify assignable causes.

What manufacturing standards does this skill support?

This skill is codified with expertise for FDA 21 CFR 820 (Medical Devices), IATF 16949 (Automotive), AS9100 (Aerospace), and ISO 13485 environments.

Is this skill meant for software development quality?

While it can be adapted, it is primarily designed for physical manufacturing quality, supplier quality management, and regulatory engineering roles.

Which Root Cause Analysis methods are included?

It supports structured methodologies including 5-Whys, Ishikawa (Fishbone) Diagrams, Fault Tree Analysis (FTA), and the 8D problem-solving framework.

Quality & Non-Conformance Management

Name: Quality & Non-Conformance Management
Author: saar120

bysaar120

0•

生産性とワークフロー

Manages non-conformance lifecycles, root cause analysis, and corrective actions within highly regulated manufacturing environments like FDA, AS9100, and IATF 16949.

This skill acts as a senior quality engineer with 15+ years of experience in regulated manufacturing. It provides codified expertise for handling the entire non-conformance (NCR) lifecycle, from initial identification and containment to Material Review Board (MRB) disposition and final CAPA closure. It is particularly valuable for teams navigating strict compliance requirements in medical devices, aerospace, and automotive sectors, offering structured guidance on root cause analysis methodologies like 8D and Ishikawa, as well as interpreting complex Statistical Process Control (SPC) data to ensure process stability and regulatory readiness.

主な機能

010 GitHub stars

02Structured Root Cause Analysis (RCA) via 5-Why, Ishikawa, and 8D methods

03Statistical Process Control (SPC) interpretation and control chart signal analysis

04Comprehensive NCR lifecycle management and documentation guidance

05Regulatory compliance mapping for FDA 21 CFR 820, IATF 16949, and AS9100

06Material Review Board (MRB) disposition logic and CAPA effectiveness verification

ユースケース

01Leading a cross-functional 8D problem-solving process to address high-stakes customer complaints

02Investigating manufacturing defects and documenting formal Non-Conformance Reports for regulatory submission

03Analyzing SPC data to differentiate between common cause and special cause variation in production lines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add saar120/skillgate-registry quality-nonconformance

For use in Claude.ai and ChatGPT

主な機能

010 GitHub stars

02Structured Root Cause Analysis (RCA) via 5-Why, Ishikawa, and 8D methods

03Statistical Process Control (SPC) interpretation and control chart signal analysis

04Comprehensive NCR lifecycle management and documentation guidance

05Regulatory compliance mapping for FDA 21 CFR 820, IATF 16949, and AS9100

06Material Review Board (MRB) disposition logic and CAPA effectiveness verification

ユースケース

01Leading a cross-functional 8D problem-solving process to address high-stakes customer complaints

02Investigating manufacturing defects and documenting formal Non-Conformance Reports for regulatory submission

03Analyzing SPC data to differentiate between common cause and special cause variation in production lines