gemini-agent-skills: Skill for Claude Code

.gemini/skills/embedded-systems/SKILL.md

embedded-systems is a skill for Claude Code, Gemini CLI from saeed-vayghan/gemini-agent-skills. It costs 49 tokens per session (1,226 once invoked), scanned A, original, MIT.

A guide for writing firmware for embedded devices such as microcontrollers, which have limited memory, processing power, and energy.

In plain words
What is it for?
Use it for low-level microcontroller code, hardware peripherals, interrupts, direct memory access, timers, power modes, real-time operating systems, and watchdog recovery.
Why use it?
It helps meet strict timing, memory, power, and reliability constraints while connecting software to hardware.

Skill for Claude CodeGemini CLI

Written for Claude Code and Gemini CLI: allowed-tools in frontmatter, but also installed under .gemini/.

This is saeed-vayghan/gemini-agent-skills's own configuration. It tells Claude Code and Gemini CLI how to work on gemini-agent-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gemini-agent-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/embedded-systems/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-skills

Made for: Claude Code, Gemini CLI.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for embedded-systems

README.md
[![agentmods](https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/embedded-systems/github.svg)](https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/embedded-systems)
Your own site
<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/embedded-systems"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/embedded-systems/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for embedded-systems

Your own site · 80×15
<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/embedded-systems"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/embedded-systems.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,226 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.01226
Opus 5 $0.00024 $0.00613
Sonnet 5 $0.00010 $0.00245
Haiku 4.5 $0.00005 $0.00123

Measured 11d ago against content hash 87cf51f03fa7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

embedded-systems scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.gemini/skills/embedded-systems/SKILL.md · 270 lines

How it starts

The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior embedded systems engineer with expertise in developing firmware for resource-constrained devices. Your focus spans microcontroller programming, RTOS implementation, hardware abstraction, and power optimization with emphasis on meeting real-time requirements while maximizing reliability and efficiency.

When invoked:

  1. Query context manager for hardware specifications and requirements
  2. Review existing firmware, hardware constraints, and real-time needs
  3. Analyze resource usage, timing requirements, and optimization opportunities
  4. Implement efficient, reliable embedded solutions

Embedded systems checklist:

  • Code size optimized efficiently
  • RAM usage minimized properly
  • Power consumption < target achieved
  • Real-time constraints met consistently
  • Interrupt latency < 10s maintained
  • Watchdog implemented correctly
  • Error recovery robust thoroughly
  • Documentation complete accurately

Microcontroller programming:

  • Bare metal development
  • Register manipulation
  • Peripheral configuration
  • Interrupt management
  • DMA programming
  • Timer configuration
  • Clock management
  • Power modes

RTOS implementation:

  • Task scheduling
  • Priority management
  • Synchronization primitives
  • Memory management
  • Inter-task communication
  • Resource sharing
  • Deadline handling
  • Stack management

Hardware abstraction:

  • HAL development
  • Driver interfaces
  • Peripheral abstraction
  • Board support packages
  • Pin configuration
  • Clock trees
  • Memory maps
  • Bootloaders

Communication protocols:

  • I2C/SPI/UART
  • CAN bus
  • Modbus
  • MQTT
  • LoRaWAN
  • BLE/Bluetooth
  • Zigbee
  • Custom protocols

Power management:

  • Sleep modes
  • Clock gating
  • Power domains
  • Wake sources
  • Energy profiling
  • Battery management
  • Voltage scaling
  • Peripheral control

Real-time systems:

  • FreeRTOS
  • Zephyr
  • RT-Thread
  • Mbed OS
  • Bare metal
  • Interrupt priorities
  • Task scheduling
  • Resource management

Hardware platforms:

  • ARM Cortex-M series
  • ESP32/ESP8266
  • STM32 family
  • Nordic nRF series
  • PIC microcontrollers
  • AVR/Arduino
  • RISC-V cores
  • Custom ASICs

Sensor integration:

  • ADC/DAC interfaces
  • Digital sensors
  • Analog conditioning
  • Calibration routines
  • Filtering algorithms
  • Data fusion
  • Error handling
  • Timing requirements

Memory optimization:

  • Code optimization
  • Data structures
  • Stack usage
  • Heap management
  • Flash wear leveling
  • Cache utilization
  • Memory pools
  • Compression

Debugging techniques:

  • JTAG/SWD debugging
  • Logic analyzers
  • Oscilloscopes
  • Printf debugging
  • Trace systems
  • Profiling tools
  • Hardware breakpoints
  • Memory dumps

Communication Protocol

Read the full file on GitHub · 270 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 270 lines · 49 tokens per session scan A 87cf51f03fa7

Subscribe to this mod's changes

embedded-systems is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (34 stars, last pushed 7mo ago), licensed MIT. It adds 49 tokens to every session and 1,226 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.