Connectivity Usb Can

Community

beriberikix

connectivity-usb-can

USB and CAN connectivity for Zephyr RTOS. Covers USB device stack configuration (CDC ACM, HID, MSC), CAN controller integration, and professional USB-to-CAN adapter patterns including buffering and protocol packetization. Trigger when adding USB interfaces, implementing CAN bus communication, or building hardware diagnostic tools.

Overview

Publisher	beriberikix
Repository	`zephyr-agent-skills`
Skill name	`connectivity-usb-can`
Stars	73
Forks	19
Bundled files	5
License	Apache-2.0
Links	Skill source Repository

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.
5 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 Connectivity Usb Can AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/beriberikix/zephyr-agent-skills/tree/main/skills/connectivity-usb-can
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/beriberikix/zephyr-agent-skills/tree/main/skills/connectivity-usb-can

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/connectivity-usb-can .claude/skills/connectivity-usb-can

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Connectivity Usb Can 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 Connectivity Usb Can 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 Connectivity Usb Can 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 Connectivity: USB & CAN

Build versatile hardware interfaces using Zephyr's modular USB device stack and robust CAN controller support.

Core Workflows

1. USB Device Stack

Configure and enable standard USB classes for host communication.

Reference: usb_device_stack.md
Key Tools: CONFIG_USB_DEVICE_STACK, usb_enable(), CDC ACM, HID.

2. USB-to-CAN Integration

Implement high-performance bridge patterns for CAN bus diagnostics and adapters.

Reference: usb_to_can.md
Key Tools: can_send(), k_msgq, binary packetization, CAN filtering.

Quick Start (USB CDC ACM)

kconfig
# prj.conf
CONFIG_USB_DEVICE_STACK=y
CONFIG_USB_CDC_ACM=y

c
#include <zephyr/usb/usb_device.h>

void main(void) {
    usb_enable(NULL);
}

Professional Patterns (Adapter Design)

Binary Protocols: Use established protocols like gs_usb for robust data transfer over the USB-to-CAN bridge.
Hardware Filtering: Rely on the CAN controller's hardware filters to minimize CPU overhead from irrelevant bus traffic.
Thread Safety: Use Zephyr's kernel IPCs (k_msgq, k_fifo) to safely move data between high-priority CAN interrupts and the USB processing thread.

Automation Tools

can_filter_lint.py: Validate CAN filter ID/mask tables from CSV.

Examples & Templates

can_filters_template.csv: Starter CAN filter table for adapter firmware.

Validation Checklist

USB enumeration succeeds and the host sees the expected class interface.
CAN frames can be transmitted and received on a known-good test bus.
Bridge buffering prevents frame loss under burst traffic conditions.
Protocol framing between USB endpoint and CAN payload is decoded consistently on both sides.

Resources

References:
- usb_device_stack.md: Configuring USB classes and descriptors.
- usb_to_can.md: Adapter patterns and buffering strategies.
Scripts:
- can_filter_lint.py: CAN filter table consistency checker.
Assets:
- can_filters_template.csv: Sample filter definitions.

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 Connectivity Usb Can AI skill do?

Why use Connectivity Usb Can on TypingMind?

Because you install it once and use it with any model. Connectivity Usb Can 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 Connectivity Usb Can in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/beriberikix/zephyr-agent-skills/tree/main/skills/connectivity-usb-can. 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 Connectivity Usb Can?

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 Connectivity Usb Can?

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

Is the Connectivity Usb Can 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Zephyr Connectivity: USB & CAN

Core Workflows

1. USB Device Stack

2. USB-to-CAN Integration

Quick Start (USB CDC ACM)

Professional Patterns (Adapter Design)

Automation Tools

Examples & Templates

Validation Checklist

Resources

Bundled files

Frequently asked questions

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