Designing Hardware Products

Community

telagod

designing-hardware-products

AI-automated hardware product pipeline: from requirements to manufacturable Gerber + compiled firmware + cross-platform app. Orchestrates system design, ESP-IDF firmware, KiCad PCB, UniApp client, and release packaging in a zero-human-touch flow.

Overview

Publisher	telagod
Repository	`code-abyss`
Skill name	`designing-hardware-products`
Stars	242
Forks	33
Bundled files	5
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.
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 Designing Hardware Products 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/telagod/code-abyss/tree/main/skills/designing-hardware-products
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/telagod/code-abyss.git /tmp/code-abyss
mkdir -p .claude/skills
cp -r /tmp/code-abyss/skills/designing-hardware-products .claude/skills/designing-hardware-products

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

Use it in TypingMind

Enable Designing Hardware Products 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 Designing Hardware Products 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 Designing Hardware Products 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.

Designing Hardware Products

判断先于执行：决定「是否做 / 选什么 / 如何取舍」（栈、方案、架构、权衡）前，先读领域判断内核 skills/_kernel/hardware/SKILL.md——它管 judgment，本秘典管 execution；冲突时以内核判断为准。

From empty directory to shippable product. Requirements in, Gerber + .bin + .apk out.

When to use

Scenario	Use	Why
New IoT / embedded product from scratch	Yes	Full pipeline
Adding BLE app to existing hardware	Partial	Phase 4 only
PCB redesign with existing firmware	Partial	Phase 3 only
One-off breadboard prototype	No	Overkill, just wire it

Pipeline phases


Phase 1: System Design    → DESIGN.md (architecture, topology, protocol)
Phase 2: Firmware          → ESP-IDF components, FreeRTOS tasks, BLE GATT
Phase 3: Hardware          → KiCad schematic → PCB → route → DRC → Gerber
Phase 4: Mobile App        → UniApp (BLE, i18n, dev mode, SVG icons)
Phase 5: Verify + Package  → build all → zip release

Each phase is independently re-runnable. Skip phases that already exist.

Key decision points

MCU selection — ESP32-C3 (BLE+WiFi, RISC-V, cheap) vs ESP32-S3 (AI, USB) vs STM32 (low power) vs nRF (BLE-only)
HV topology — if product needs high voltage (mosquito swatter, taser), see references/hv-design.md
PCB form factor — match physical product shape, not default rectangle
App framework — UniApp (WeChat+Android+iOS) vs React Native vs Flutter

Companion skills

operating-kicad-eda — Phase 3 detail, KiCad MCP tool routing
developing-software — firmware language patterns (C for ESP-IDF)
developing-mobile-apps — app framework patterns

Usage


/designing-hardware-products "BLE mosquito swatter with kill counting, ESP32-C3, 30x100mm PCB strip"

References

Topic	File
Phase execution details	pipeline-phases.md
KiCad 9 gotchas	kicad9-quirks.md
ESP-IDF patterns	esp-idf-patterns.md
HV circuit design	hv-design.md
UniApp patterns	uniapp-patterns.md

Exit criteria

idf.py build passes (firmware)
KiCad DRC = 0 violations (hardware)
npx uni build passes (app)
Release zip contains: source + binary + Gerber + BOM + docs

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 Designing Hardware Products AI skill do?

Why use Designing Hardware Products on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/telagod/code-abyss/tree/main/skills/designing-hardware-products. 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 Designing Hardware Products?

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 Designing Hardware Products?

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

Is the Designing Hardware Products 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Designing Hardware Products

When to use

Pipeline phases

Key decision points

Companion skills

Usage

References

Exit criteria

Bundled files

Frequently asked questions

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