Manufacturing Expert

Gives you expert-level guidance on manufacturing systems, from MES and ERP integration down to PLC programming and IIoT protocols. The implementation shows a solid production scheduling system with OEE calculations, work order management, and machine optimization logic. You'd reach for this when building smart factory solutions, implementing Industry 4.0 initiatives, or working with standards like OPC UA and ISA-95. The code samples are practical, covering real production scenarios like scheduling algorithms and defect tracking. It's comprehensive enough for both greenfield projects and retrofitting existing manufacturing lines with digital twin capabilities or predictive maintenance systems.

skills.sh installs: 619
GitHub stars: 44
last updated: Aug 21, 2026

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Install

$ npx -y skills add personamanagmentlayer/pcl --skill manufacturing-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

Manufacturing Expert

Expert guidance for manufacturing systems, Industry 4.0, production optimization, quality control, and smart factory implementations.

Core Concepts

Manufacturing Systems

Manufacturing Execution Systems (MES)
Enterprise Resource Planning (ERP)
Computer-Aided Manufacturing (CAM)
Programmable Logic Controllers (PLC)
Industrial Internet of Things (IIoT)
Supply Chain Management (SCM)
Warehouse Management Systems (WMS)

Industry 4.0

Smart factories
Digital twins
Predictive maintenance
Autonomous robotics
Augmented reality for operations
Edge computing
Cyber-physical systems

Standards and Protocols

OPC UA (Open Platform Communications)
ISA-95 (Enterprise-Control System Integration)
MTConnect (manufacturing data exchange)
MQTT for IIoT
EtherCAT (real-time Ethernet)
PROFINET
ISO 9001 (Quality Management)

Quality Control System

from scipy import stats
import numpy as np

class StatisticalProcessControl:
    """Statistical Process Control (SPC) for quality management"""

    def __init__(self):
        self.measurement_history = {}

SKILL.md on GitHub