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Industrial

Community
beriberikix
industrial

Industrial communication protocols for Zephyr RTOS. Covers Modbus RTU (serial), Modbus TCP (Ethernet/Wi-Fi), and CANopen basics. Trigger when building factory automation controllers, industrial sensors, or medical equipment interfaces.

Overview

Publisherberiberikix
Repositoryzephyr-agent-skills
Skill nameindustrial
Stars
73
Forks
19
Bundled files
6
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by beriberikix on GitHub. Read the source before you install it.

Installation

Install the Industrial AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/beriberikix/zephyr-agent-skills/tree/main/skills/industrial
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/beriberikix/zephyr-agent-skills.git /tmp/zephyr-agent-skills
mkdir -p .claude/skills
cp -r /tmp/zephyr-agent-skills/skills/industrial .claude/skills/industrial
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Industrial in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Industrial on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Industrial is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Zephyr Industrial Protocols

Build robust, industry-standard communication systems using Zephyr's modular industrial protocol stacks.

Core Workflows

1. Modbus RTU (Serial)

Implement serial-based industrial communication for meters, PLCs, and sensors.

  • Reference: modbus_rtu.md
  • Key Tools: CONFIG_MODBUS, RS-485 DE/RE handling, Register Mapping.

2. Modbus TCP

Bridge industrial data over standard Ethernet or Wi-Fi networks.

  • Reference: modbus_tcp.md
  • Key Tools: Port 502, TCP/IP networking, Client/Server patterns.

3. CANopen Basics

Integrate with complex automation networks using the CANopenNode stack.

  • Reference: canopen_basics.md
  • Key Tools: Object Dictionary (OD), PDO/SDO, Network Management (NMT).

Quick Start (Modbus RTU Server)

kconfig
# prj.conf
CONFIG_MODBUS=y
CONFIG_MODBUS_SERIAL=y
c
// Initialize a server on a serial device
const struct device *dev = DEVICE_DT_GET(DT_CHOSEN(zephyr_modbus_serial));
struct modbus_iface_param param = {
    .mode = MODBUS_MODE_RTU,
    .server = { .node_addr = 1, .cb = &my_callbacks },
    .serial = { .baud = 115200, .parity = UART_CFG_PARITY_NONE },
};
modbus_init_server(dev, param);

Professional Patterns (Reliability & Safety)

  • RS-485 Hardware Handling: Always use the devicetree uart-rs485 property to handle transceiver direction signals automatically at the driver level.
  • Isolated Communication: Use galvanically isolated transceivers for both serial and CAN lines in factory environments to prevent damage from ground loops.
  • Watchdog Integration: In industrial control, always pair your communication loops with the watchdog_reliability pattern (see specialized skill) to ensure the system enters a fail-safe state on protocol lockup.

Automation Tools

Examples & Templates

Validation Checklist

  • Modbus RTU request/response exchange succeeds against a known test slave/master.
  • Modbus TCP endpoint responds on port 502 with correct register mappings.
  • CANopen node transitions through expected NMT states during startup.
  • Communication faults trigger safe retry or watchdog-protected recovery behavior.

Resources

  • References:
    • modbus_rtu.md: Serial Modbus master/slave setup.
    • modbus_tcp.md: Ethernet Modbus client/server patterns.
    • canopen_basics.md: Object Dictionary and PDO mapping.
  • Scripts:
    • modbus_register_lint.py: Register-map consistency checker.
  • Assets:
    • modbus_register_map_template.csv: Register planning template.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Industrial AI skill do?

Industrial communication protocols for Zephyr RTOS. Covers Modbus RTU (serial), Modbus TCP (Ethernet/Wi-Fi), and CANopen basics. Trigger when building factory automation controllers, industrial sensors, or medical equipment interfaces.

Why use Industrial on TypingMind?

Because you install it once and use it with any model. Industrial is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Industrial in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/beriberikix/zephyr-agent-skills/tree/main/skills/industrial. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Industrial?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Industrial?

As many as you like. As long as a model supports skills, you can use Industrial with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Industrial AI skill free?

Yes. It is published on GitHub by beriberikix under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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