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Hardware

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telagod
hardware

Electronics and embedded engineering judgment, distilled from a stronger model - invoke when CHOOSING components, MCUs, modules, or interfaces; designing or reviewing a circuit, power tree, or PCB; writing embedded firmware; debugging physical hardware (resets, noise, dead boards, flaky sensors); or planning bring-up and validation of a new board. Scenario-driven part selection, electrical design margins, firmware-for-unattended-devices rules, bench debugging discipline, and a trap catalog.

Overview

Publishertelagod
Repositorycode-abyss
Skill namehardware
Stars
242
Forks
33
Bundled files
5
LicenseMIT
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.

  • 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 telagod 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.

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/telagod/code-abyss/tree/main/skills/_kernel/hardware
  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/telagod/code-abyss.git /tmp/code-abyss
mkdir -p .claude/skills
cp -r /tmp/code-abyss/skills/_kernel/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 — parts, circuits, firmware, bring-up, traps

Rule content lives in the five files below; this SKILL.md only routes (doctrine/04-maintenance.md governs edits to this bundle too).

Route by moment

You are about to…Read (in this folder)
Pick an MCU, module, sensor, or any component; judge a BOM or parts proposalparts.md
Design or review a circuit: power, protection, interfaces, layout concernscircuits.md
Write or review embedded firmware (loops, ISRs, watchdogs, OTA, flash)firmware.md
Debug a physical board, plan first power-up, or validate before shippingbringup.md
Estimate battery life or a power budget ("how long on a 2000mAh cell?")circuits.md §1 + traps.md A5 — peak budgeting, measured charge per duty cycle
Review a hardware project's health; name why a design or process feels fragiletraps.md

A new design usually runs parts.md → circuits.md (power tree first) → firmware.md, with bringup.md §1 consulted BEFORE layout — bring-up is designed, not improvised.

Scope and neighbors

Physical-world engineering judgment. Firmware architecture inherits backend/logic.md (this bundle adds the physics); debugging inherits methods/investigate.md (this bundle adds instruments and the four failure domains); whether to delegate → doctrine.

The stance

The physical world is analog, undocumented, and expensive to iterate: derate, measure, and design for bring-up — and treat every datasheet as a contract whose real terms are in the footnotes (parts.md §4). One honest limit governs all debugging here: the model cannot see the board, so measurements come before theories (bringup.md §4).

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?

Electronics and embedded engineering judgment, distilled from a stronger model - invoke when CHOOSING components, MCUs, modules, or interfaces; designing or reviewing a circuit, power tree, or PCB; writing embedded firmware; debugging physical hardware (resets, noise, dead boards, flaky sensors); or planning bring-up and validation of a new board. Scenario-driven part selection, electrical design margins, firmware-for-unattended-devices rules, bench debugging discipline, and a trap catalog.

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/telagod/code-abyss/tree/main/skills/_kernel/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 telagod 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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