Hardware

OrganizationPopular

sipeed

hardware

Read and control I2C and SPI peripherals on Sipeed boards (LicheeRV Nano, MaixCAM, NanoKVM).

Overview

Publisher	sipeed
Repository	`picoclaw`
Skill name	`hardware`
Stars	30K
Forks	4.5K
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by sipeed on GitHub. Read the source before you install it.

Installation

Install the Hardware 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.
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.

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/sipeed/picoclaw.git /tmp/picoclaw
mkdir -p .claude/skills
cp -r /tmp/picoclaw/workspace/skills/hardware .claude/skills/hardware

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

Use it in TypingMind

Enable Hardware 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 Hardware 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 Hardware 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.

Hardware (I2C / SPI)

Use the i2c and spi tools to interact with sensors, displays, and other peripherals connected to the board.

Quick Start


# 1. Find available buses
i2c detect

# 2. Scan for connected devices
i2c scan  (bus: "1")

# 3. Read from a sensor (e.g. AHT20 temperature/humidity)
i2c read  (bus: "1", address: 0x38, register: 0xAC, length: 6)

# 4. SPI devices
spi list
spi read  (device: "2.0", length: 4)

Before You Start — Pinmux Setup

Most I2C/SPI pins are shared with WiFi on Sipeed boards. You must configure pinmux before use.

See references/board-pinout.md for board-specific commands.

Common steps:

Stop WiFi if using shared pins: /etc/init.d/S30wifi stop
Load i2c-dev module: modprobe i2c-dev
Configure pinmux with devmem (board-specific)
Verify with i2c detect and i2c scan

Safety

Write operations require confirm: true — always confirm with the user first
I2C addresses are validated to 7-bit range (0x03-0x77)
SPI modes are validated (0-3 only)
Maximum per-transaction: 256 bytes (I2C), 4096 bytes (SPI)

Common Devices

See references/common-devices.md for register maps and usage of popular sensors: AHT20, BME280, SSD1306 OLED, MPU6050 IMU, DS3231 RTC, INA219 power monitor, PCA9685 PWM, and more.

Troubleshooting

Problem	Solution
No I2C buses found	`modprobe i2c-dev` and check device tree
Permission denied	Run as root or add user to `i2c` group
No devices on scan	Check wiring, pull-up resistors (4.7k typical), and pinmux
Bus number changed	I2C adapter numbers can shift between boots; use `i2c detect` to find current assignment
WiFi stopped working	I2C-1/SPI-2 share pins with WiFi SDIO; can't use both simultaneously
`devmem` not found	Download separately or use `busybox devmem`
SPI transfer returns all zeros	Check MISO wiring and device power
SPI transfer returns all 0xFF	Device not responding; check CS pin and clock polarity (mode)

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 Hardware AI skill do?

Read and control I2C and SPI peripherals on Sipeed boards (LicheeRV Nano, MaixCAM, NanoKVM).

Why use Hardware on TypingMind?

Because you install it once and use it with any model. Hardware 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 Hardware in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sipeed/picoclaw/tree/main/workspace/skills/hardware. 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 Hardware?

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 Hardware?

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

Is the Hardware AI skill free?

Yes. It is published on GitHub by sipeed under the MIT 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

Hardware (I2C / SPI)

Quick Start

Before You Start — Pinmux Setup

Safety

Common Devices

Troubleshooting

Bundled files

Frequently asked questions

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