Embedded / IoT Mentor — a Claude Skill

English · Svenska · فارسی

A skill for Claude that acts as an experienced embedded-systems mentor: it picks the microcontroller, board, and toolchain for your project, estimates what it will cost and how long it will take, and hands you a build plan that stops at a working breadboard instead of a production line you didn't ask for.

Most embedded advice fails in one of two directions — a parts list with no plan, or a production roadmap for someone who hasn't blinked an LED yet. This skill asks what you've actually built before, then answers at that level.

Try it

Where	One click
Claude	Download embedded-iot-mentor.skill and open it
ChatGPT	Build the GPT — paste one file, upload the knowledge, 10 minutes
VS Code	Install from the Marketplace
ChatGPT connector	then add the URL + /mcp under Settings → Connectors. The same click also deploys the REST API
Your own code	then call the REST API — routes
Any other AI chat	Copy universal-prompt.md into the first message — no install, works in ChatGPT, Gemini, Copilot, and others

Prefer a page over a chat? docs/index.html is a static overview with the same "Try it" links and demo — live at https://iotmentor.dev, or open the file locally, no server needed.

Everything below is the longer way round: build it yourself, change it, or read why it answers the way it does.

Demo

A sheep farmer in Devon, with no coding experience, requests six sensing points, and the furthest sensing point is around 400 m away from the house. All of those are below the minimum cost for such a project. Worth watching for what the skill doesn't suggest: It opens by refusing half the request - no cheap probe measures soil nitrogen honestly - then lets three constraints do the choosing. The 400 meters away from home picks radio over Wi-Fi, "I don't write code" picks ready-made firmware over a toolchain, and a wet meadow picks the enclosure. The board is the last thing decided, not the first. The full transcript is Scenario D.

What it does