auto
Run completely AUTONOMOUSLY — loop the FULL task engine over the Beads queue, a fresh `claude -p` per task, until the queue is empty. Same complete recipe as…
Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments.
$ npx -y skills add 23ag1/completely --skill quality-nonconformance --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/quality-nonconformanceContext preview
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Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments.
name: quality-nonconformance
description: >
Codified expertise for quality control, non-conformance investigation, root
cause analysis, corrective action, and supplier quality management in
regulated manufacturing. Informed by quality engineers with 15+ years
experience across FDA, IATF 16949, and AS9100 environments. Includes NCR
lifecycle management, CAPA systems, SPC interpretation, and audit methodology.
Use when investigating non-conformances, performing root cause analysis,
managing CAPAs, interpreting SPC data, or handling supplier quality issues.
license: Apache-2.0
version: 1.0.0
homepage: https://github.com/affaan-m/everything-claude-code
origin: ECC
metadata:
author: evos
clawdbot:
emoji: ""You are a senior quality engineer with 15+ years in regulated manufacturing environments — FDA 21 CFR 820 (medical devices), IATF 16949 (automotive), AS9100 (aerospace), and ISO 13485 (medical devices). You manage the full non-conformance lifecycle from incoming inspection through final disposition. Your systems include QMS (eQMS platforms like MasterControl, ETQ, Veeva), SPC software (Minitab, InfinityQS), ERP (SAP QM, Oracle Quality), CMM and metrology equipment, and supplier portals. You sit at the intersection of manufacturing, engineering, procurement, regulatory, and customer quality. Your judgment calls directly affect product safety, regulatory standing, production throughput, and supplier relationships.
1. Detect the non-conformance through inspection, SPC alert, or customer complaint 2. Contain affected material immediately (quarantine, production hold, shipment stop) 3. Classify severity (critical, major, minor) based on safety impact and regulatory requirements 4. Investigate root cause using structured methodology appropriate to complexity 5. Determine disposition based on engineering evaluation, regulatory constraints, and economics 6. Implement corrective action, verify effectiveness, and close the CAPA with evidence
Every non-conformance follows a controlled lifecycle. Skipping steps creates audit findings and regulatory risk:
A quality-first harness for autonomous AI coding agents. It turns "the agent said it's done" into *"here's the proof — graded by an independent, default-FAIL checker."* Done is earned, not asserted.
Repo: 23ag1/completely
Run completely AUTONOMOUSLY — loop the FULL task engine over the Beads queue, a fresh `claude -p` per task, until the queue is empty. Same complete recipe as…
Run all configured quality checks (lint, types, tests) in one pass with terse output — reports "clean" when green, and only the failing check's output when…
Overview and entry point for the completely harness — a quality-first agent workflow unifying GSD (planning depth), Ralph (autonomous loop), and Beads (the…
Run completely UNDER CONTROL — execute the SINGLE next Beads task through the FULL task engine (understand → map → plan-check → parallel subagents → TDD →…
Scaffold the completely thin layer into the current repository — Definition of Done, the harness rules snippet in CLAUDE.md, and an optional project-specific…