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embedded-iot-mentor

by mh-mansouri

Embedded / IoT Mentor — a Claude Skill

English · Svenska · فارسی

check-skill latest release License: MIT

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

<!-- When the GPT is published, put its https://chatgpt.com/g/… share link in the ChatGPT row below, and in chatgpt-app/README.md. Same edit in README.sv.md and README.fa.md. -->
WhereOne click
ClaudeDownload embedded-iot-mentor.skill and open it
ChatGPTBuild the GPT — paste one file, upload the knowledge, 10 minutes
VS CodeInstall from the Marketplace
ChatGPT connectorDeploy to Render then add the URL + /mcp under Settings → Connectors

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

Demo

A farmer asks for soil moisture and nitrogen across a meadow; the skill declines the nitrogen half, asks two questions, and returns a six-node LoRa plan with no code in it

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

  • Picks a platform — ESP32, Pico, STM32, nRF52 — and says plainly why that one, plus one or two alternatives and when each would win instead.
  • Separates the hardware path from the firmware path, so you know what to buy and what to install without conflating them.
  • Checks whether you need to write firmware at all. If ESPHome, Meshtastic or Tasmota already does the job, that's the answer — writing code is a cost, not a deliverable.
  • Takes the reading all the way to a person — Home Assistant, a page the device serves itself, a hosted dashboard, or just an alert. "On my phone" in the kitchen and "on my phone" from work are two different builds, and it says so before you pick one.
  • Estimates time and cost as ranges, and flags what actually drives them — including what the thing costs to run, once it's six nodes eating batteries in a field.
  • **Sa

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