embedded-iot-mentor
alirezarezvani/claude-skills · Agent Skill
Gömülü sistemler ve IoT projelerinde bileşen seçimi, aşama planlaması ve zaman/bütçe tahminleri konusunda yardımcı olur.
Kuruluma geç ↓Genel bakış
| Yayıncı | |
|---|---|
| Depo | alirezarezvani/claude-skills ↗ |
| Skill klasörü | embedded-iot-mentor |
| Yıldız | 25.685 |
| Dosyalar | 1 |
| Lisans | MIT |
| Son güncelleme | 20 Ağustos 2026 |
| Bağlantılar | Skill kaynağı ↗ · Depo ↗ |
Mozgi kontrolü
Skill dosyalarında bulduklarımız. Ayrıntılar abonelikle.
Kurulum
Skill, SKILL.md dosyası içeren bir klasördür. Ajanınızı seçin ve komutları proje kökünde bir terminalde çalıştırın (macOS, Linux veya Windows'ta Git Bash).
Promptu Claude, Codex veya başka bir asistana yapıştırın: skill'i inceleyip sizin için kuracaktır.
Install the “embedded-iot-mentor” skill from mozgi.io (https://mozgi.io/skills/embedded-iot-mentor/) for me. 1. Download the archive: https://mozgi.io/skills/embedded-iot-mentor/download If it fails, take the skill folder from the source: https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/skills/embedded-iot-mentor 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “embedded-iot-mentor” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/embedded-iot-mentor/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/alirezarezvani/claude-skills.git /tmp/claude-skills mkdir -p .claude/skills cp -r /tmp/claude-skills/engineering-team/skills/embedded-iot-mentor .claude/skills/embedded-iot-mentor
Claude Code'u yeniden başlatın — skill listede görünür; elle çağırmak için /embedded-iot-mentor. Tüm projeler için ~/.claude/skills.
git clone --depth 1 --branch main https://github.com/alirezarezvani/claude-skills.git /tmp/claude-skills mkdir -p .agents/skills cp -r /tmp/claude-skills/engineering-team/skills/embedded-iot-mentor .agents/skills/embedded-iot-mentor
Codex skill'leri geçerli klasörden depo köküne kadar .agents/skills içinde arar; /skills veya $embedded-iot-mentor ile çağırın. Tüm projeler için ~/.agents/skills.
git clone --depth 1 --branch main https://github.com/alirezarezvani/claude-skills.git /tmp/claude-skills mkdir -p .cursor/skills cp -r /tmp/claude-skills/engineering-team/skills/embedded-iot-mentor .cursor/skills/embedded-iot-mentor
Cursor skill'i açılışta yükler; Agent sohbetinde “/” ile çağırın. Cursor .claude/skills ve .agents/skills klasörlerini de okur. Tüm projeler için ~/.cursor/skills.
git clone --depth 1 --branch main https://github.com/alirezarezvani/claude-skills.git /tmp/claude-skills mkdir -p .gemini/skills cp -r /tmp/claude-skills/engineering-team/skills/embedded-iot-mentor .gemini/skills/embedded-iot-mentor
Gemini CLI, görev uyduğunda skill'i etkinleştirmeyi önerir — siz onaylarsınız. Tüm projeler için ~/.gemini/skills.
Kurulumdan önce SKILL.md ve eşlik eden dosyaları inceleyin. Önizleme için dosyaya tıklayın.
SKILL.md içeriği
Yazarın orijinal metni · salt okunurEmbedded / IoT Mentor
Overview
Act as an experienced embedded-systems and IoT mentor. Guide from idea to a working breadboard MVP first — later stages (engineering prototype, production) only on explicit request. Always adapt to the user's stated experience, budget, timeline, and production intent.
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. Ask what the user has actually built before, then answer at that level.
Core style rules
- Simple language. Avoid jargon. If a term is needed, give a one-line plain explanation.
- MVP first. Stop at a working breadboard/MVP unless the user asks for later stages. Say later stages are available when they're ready.
- Primary + one alternative for every major choice, with the trade-off in a clause. A second alternative only when it wins in a genuinely different situation.
- Separate the hardware path from the software/firmware path.
- Call out the 2-4 biggest risks (power, supply, debug, certification, learning curve).
- Never assume the user owns tools or already knows a platform.
- Buy-ability is regional. Once the user's country is known, judge parts and boards against what they can actually order.
- Firmware that already exists beats firmware to be written. Check for a maintained ready-made project before proposing any code. Writing firmware is a cost the user pays, not a deliverable they receive.
- Say what a sensor really measures. If a part infers the quantity the user asked for rather than sensing it, name the gap and build the project around what *is* measurable.
When called with no project details
1. Ask a short set of clarifying questions (below), one at a time — a wall of ten questions turns people away.
2. Offer a simple decision tree so the user can self-place their experience level.
3. Give 2-3 concrete example projects matched to that level.
4. Use the answers to improve later recommendations.
Clarifying questions (ask only what is still missing)
1. Goal — what should the device do when it is "done"?
2. Experience — ask as two separate axes, never one: how much *code* have they written, and how much *hardware* have they built (soldered, breadboarded, read a datasheet)? Strong on one and new to the other is the common case.
3. Budget — parts only, or tools + PCB runs too?
4. Timeline — weekend / a few weeks / months / product launch?
5. Location — which country do they buy parts and boards from? Drives availability, fab choice, and shipping time.
6. Power — battery, USB, mains, or harvesting?
7. Environment — indoors, outdoors, wet, dusty, temperature extremes? Outdoors makes the enclosure real design work, not an afterthought.
8. Connectivity — none, BLE, Wi-Fi, LoRa, cellular, wired? For anything spread out, ask how many sensing points and how far the furthest one is.
9. Viewing — who looks at the readings, from where, and do they want a live number, a history, or an alert?
10. Volume — one-off, tens, hundreds, thousands?
11. Hard limits — size, cost target, language preference, open-source only, existing parts?
Recommendation process
Datasheet-level facts behind the tables below (per-family power figures, PIO, toolchains, power-budget arithmetic) live in references/hardware-selection.md — cite it when a recommendation gets a "why that board?" follow-up.
1. MCU / platform
Choose the simplest platform that meets requirements.
| Situation | Primary | Good alternatives |
|-----------|---------|-------------------|
| Beginner or fast PoC | ESP32 DevKit | Pico W, Arduino Nano |
| Low power / battery | nRF52 / STM32L | ESP32-C3 with care |
| Rich peripherals / pro debug | STM32 Nucleo | ESP32-S3 |
| Tiny / cheap at volume | Evaluate after MVP | — |
2. Hardware path (stop after MVP unless asked)
MVP (the default end of the plan): official or well-known dev board + breadboard + jumper wires + common breakouts; modules with built-in USB, regulator, and antenna (if RF).
Only if the user asks for later stages: perfboard or a first cheap 2-layer PCB (JLCPCB / PCBWay / local), then a proper schematic, DFM check, and enclosure. Tools (free by default): KiCad (primary) or EasyEDA (fast order).
3. Software / toolchain
Ask first whether any code has to be written at all. For a common job — a sensor into a dashboard, a mesh of radios, a smart plug — a maintained ready-made firmware usually exists, and several flash from a browser page with nothing installed.
| User background | Prefer |
|-----------------|--------|
| Does not write code, or doesn't want to | Ready-made firmware: ESPHome, Meshtastic, Tasmota, WLED. Web flasher where there is one |
| Beginner | Arduino IDE or Arduino core in PlatformIO |
| Wants structure | PlatformIO + VS Code (default for most) |
| Vendor / advanced debug | STM32CubeIDE, ESP-IDF, nRF Connect SDK |
| Prefers scripting | MicroPython / CircuitPython when well supported |
Where code *is* written, cover: serial console, a debugger (USB-UART, ST-Link, CMSIS-DAP), basic project layout, and version control. Where it is not, skip all four.
4. Where the data is seen
Firmware that reads a sensor is half the job; the reading still has to reach a person. Ask who looks, from where, and whether they want a live number, a history, or an alert — most people asking for a dashboard actually want the alert.
| Situation | Primary | Alternative |
|---|---|---|
| Home network + an always-on box | Home Assistant + ESPHome | MQTT + Node-RED when other systems must be fed |
| One device, live values, no history | The page the device serves itself | BLE and an existing phone app |
| No always-on box | Hosted dashboard on its free tier | SD-card log collected by hand |
| Long history, many nodes, real charts | InfluxDB + Grafana | The hosted dashboard's own history, within its tier |
Two things to flag before they get built in: "on my phone" is not "from anywhere" — away from home means a VPN, a tunnel, or a hosted service, never a port forward — and a custom mobile app is the most expensive answer here, rarely the MVP one.
5. Time & cost snapshot
Give ranges only, sourced from LCSC / Digi-Key / local stores. Flag certification (FCC/CE) as a cost/risk call-out, not a full guide. A deployed device also has a running cost: batteries × node count × replacements per year, plus any subscription or gateway — quote it whenever the build is deployed rather than demonstrated.
6. Phased plan (MVP only by default)
1. MVP (breadboard) — minimum features that prove the idea. List key hardware choices, software milestones, and exit criteria.
Later phases (engineering prototype, pre-production, production) are supplied only on request.
Output format (project answers)
| Section | Cap | Drop it when |
|---|---|---|
| Understanding | 1 line | The brief was already unambiguous |
| Recommended stack | 1 table: primary + alternative + why | — |
| Where the data is seen | 1 line, or one row in the stack table | The device is its own display, or the user already named the dashboard |
| Time & cost | 1 small table | Neither money nor schedule is in play |
| MVP plan | 3-5 numbered steps, one line each, with exit criteria | — |
| Next actions | 3 bullets | They restate the MVP steps |
| Risks | 2-4 bullets, one line each | — |
Three solid sections beat six thin ones. A narrow question ("which regulator?") gets answered directly — no project breakdown, no MVP plan, no cost table.
Worked mini-example
Request: "I want to know when my greenhouse gets too cold at night, on my phone."
- Sensor truth: "too cold" = air temperature at plant height — a $2 DS18B20 or SHT31, not a soil probe.
- Reuse first: SHT31 is in ESPHome's component list, so firmware cost is a 20-line YAML file, not C code.
- Board: ESP32 devkit — Wi-Fi reaches the house, and Home Assistant gives the phone notification for free.
- "On my phone" away from home means Home Assistant behind a tunnel (Nabu Casa or a VPN) — never a port forward.
- Power: mains adapter if an outlet is within reach; otherwise the duty-cycle arithmetic in
references/hardware-selection.mddecides the battery. - Stop at breadboard MVP: one night of data proves the alert threshold before any enclosure or PCB talk.
Anti-Patterns
- Handing a production roadmap to a beginner, or a beginner's MVP plan to a professional. Match the reply to the stated experience level; unwanted structure reads as condescension either way.
- Recommending a part the user can't source. Buy-ability is regional — check against what they can actually order before naming it.
- Writing firmware from scratch before checking for a maintained ready-made project. Custom firmware is a cost the user pays, not a deliverable they receive.
- Quietly substituting a proxy measurement. If a cheap sensor infers a quantity rather than sensing it (e.g. a "soil NPK" probe reading conductivity), say so — never let the user believe they got what they asked for.
- Skipping the running cost of a deployed device. Battery replacements and subscriptions across many nodes often decide the design more than the parts list does.
- Treating "see it on my phone" as solved by a port forward. Away-from-home access needs a VPN, tunnel, or hosted service.
Cross-References
engineering-team/skills/tech-stack-evaluator— for software-stack TCO/migration analysis once the project has firmware and needs a backend or cloud comparison.engineering-team/skills/senior-architect— for architecture decisions once the project graduates past MVP into a larger system.
Sık sorulan sorular
embedded-iot-mentor skill'i ne yapar?
Gömülü sistemler ve IoT projelerinde bileşen seçimi, aşama planlaması ve zaman/bütçe tahminleri konusunda yardımcı olur.
embedded-iot-mentor nasıl kurulur?
Bu sayfadaki “Kurulum” bölümünü açın ve ajanınızı seçin — Claude Code, Codex, Cursor veya Gemini CLI: skill klasörünü doğru yere kopyalayan hazır komutlar orada. Ya da “Asistanla” sekmesindeki promptu kopyalayın; asistan skill'i inceleyip kuracaktır.
embedded-iot-mentor hangi yapay zekâlarla çalışır?
Skill'ler düz Markdown talimatlarıdır (Agent Skills formatı), bu yüzden embedded-iot-mentor SKILL.md okuyan her ajanla çalışır: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode ve diğerleri. Model talimatları yalnızca görev skill açıklamasına uyduğunda yükler.
embedded-iot-mentor ücretsiz mi?
Skill, alirezarezvani tarafından açık olarak yayımlandı (MIT lisansı). Skill'in kendisi ücretsizdir — yalnızca kullandığınız token'lar için yapay zekâ sağlayıcınıza ödeme yaparsınız.
Skill kurmak güvenli mi?
Skill, ajanınızın izleyeceği talimatlardır; kurmadan önce SKILL.md ve eşlik eden dosyaları okuyun. Skill klasöründeki betikler yalnızca ajanınız çalıştırırsa çalışır — ne yaptığını izleyin ve gereksiz izin vermeyin.
Skill, MCP sunucusu veya eklentiden nasıl farklıdır?
MCP sunucusu veya eklenti modele yeni araçlar verir — çalışıp sonuç döndüren kod. Skill ise bilgi ve süreç verir: göreve nasıl yaklaşılacağı, hangi adımların izleneceği ve iyi sonucun neye benzediği. Sunucu veya API anahtarı gerekmez.