Alternatives to embedded-systems
50 AI Skills apps to use instead, best rated first.
Top picks
- B

batch-grill-me
Getbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- W

webapp-testing
GetNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
- C

content-research-writer
GetAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O

openhue
Getopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- I

implement
Getimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F

frontend-design
GetDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
More AI Skills apps
About embedded-systems

embedded-systems
Developing firmware for microcontrollers, implementing RTOS applications
embedded-systems is an agent skill from the jeffallan claude-skills collection that helps a coding agent develop firmware for microcontrollers, implement RTOS applications and optimise power use, with examples for STM32, ESP32 and FreeRTOS. Its workflow has six steps. The agent analyses the constraints: the microcontroller's specifications, memory limits, timing requirements and power budget. It designs the architecture with the task structure, interrupts, peripherals and memory layout. It implements the drivers, including the hardware abstraction layer and RTOS integration. It validates the code by compiling with -Wall and -Werror and running static analysis such as cppcheck, and it checks register bit-field use against the datasheet. It optimises code size, RAM and power. Finally it tests timing with a logic analyser or oscilloscope, checks stack use with uxTaskGetStackHighWaterMark, measures interrupt latency and confirms that no deadlines are missed under worst-case load, returning to the implementation step when something fails. The skill suits firmware engineers working with resource-constrained devices. It is listed on skills.sh, where the page shows install counts and GitHub stars for the collection. Its Gen Agent Trust Hub audit is marked as failing, which the FAQ lists, while Socket and Snyk pass. Install it with npx skills add https://github.com/jeffallan/claude-skills --skill embedded-systems.
- Price
- Free
- Made by
- jeffallan
- Category
- AI Skills
- Website
- github.com/jeffallan/claude-skills/embedded-systems

