Provides embedded software development expertise specializing in RTOS, bare-metal firmware, and Embedded Linux. Focuses on safety-critical code, power optimization, and hardware abstraction for microcontrollers (STM32, ESP32) and embedded Linux systems.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionembedded-systemsExecute the skills CLI command in your project's root directory to begin installation:
Fetches embedded-systems from 404kidwiz/claude-supercode-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate embedded-systems. Access via /embedded-systems in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
2
total installs
2
this week
75
GitHub stars
0
upvotes
Run in your terminal
2
installs
2
this week
75
stars
Provides embedded software development expertise specializing in RTOS, bare-metal firmware, and Embedded Linux. Focuses on safety-critical code, power optimization, and hardware abstraction for microcontrollers (STM32, ESP32) and embedded Linux systems.
What is the hardware capability?
│
├─ **Microcontroller (MCU) - < 1MB RAM**
│ ├─ Hard Real-Time? → **Zephyr / FreeRTOS** (Preemptive scheduler)
│ ├─ Safety Critical? → **SafeRTOS / Rust (Bare Metal)**
│ └─ Simple Loop? → **Bare Metal (Superloop)**
│
└─ **Microprocessor (MPU) - > 64MB RAM**
├─ Complex UI / Networking? → **Embedded Linux (Yocto/Buildroot)**
└─ Hard Real-Time? → **RT-Linux (PREEMPT_RT)** or **Dual Core (Linux + MCU)**
| Language | Use Case | Recommendation |
|---|---|---|
| C (C11/C17) | Legacy / HALs | Still dominant. Use strict static analysis (MISRA). |
| C++ (C++20) | Complex Logic | Use noexcept, no-rtti for embedded. Zero-cost abstractions. |
| Rust | New Projects | Highly Recommended. Memory safety without GC. embedded-hal. |
| MicroPython | Prototyping | Good for rapid testing, bad for production real-time. |
Red Flags → Escalate to security-engineer:
strcpy or unbounded buffers in C codeGoal: Read sensor via I2C and print to console.
Steps:
Device Tree (app.overlay)
&i2c1 {
status = "okay";
bme280@76 {
compatible = "bosch,bme280";
reg = <0x76>;
label = "BME280";
};
};
Configuration (prj.conf)
CONFIG_I2C=y
CONFIG_SENSOR=y
CONFIG_CBPRINTF_FP_SUPPORT=y
Code (main.c)
#include <zephyr/kernel.h>
#include <zephyr/device.h>
#include <zephyr/drivers/sensor.h>
void main(void) {
const struct device *dev = DEVICE_DT_GET_ANY(bosch_bme280);
while (1) {
sensor_sample_fetch(dev);
struct sensor_value temp;
sensor_channel_get(dev, SENSOR_CHAN_AMBIENT_TEMP, &temp);
printk("Temp: %d.%06d C\n", temp.val1, temp.val2);
k_sleep(K_SECONDS(1));
}
}
Use case: Handling complex device logic without an OS.
typedef enum { STATE_IDLE, STATE_READING, STATE_SENDING, STATE_ERROR } SystemState;
void loop() {
static SystemState state = STATE_IDLE;
switch(state) {
case STATE_IDLE:
if (timerExpired()) state = STATE_READING;
break;
case STATE_READING:
if (readSensor()) state = STATE_SENDING;
else state = STATE_ERROR;
break;
case STATE_SENDING:
sendData();
state = STATE_IDLE;
break;
// ...
}
}
Use case: Keeping ISRs (Interrupt Service Routines) short.
Use case: Auto-reset if the system freezes.
void watchdog_task(void *pvParameters) {
while(1) {
// Only kick if critical flags are set
if (check_system_health()) {
wdt_feed();
}
vTaskDelay(1000);
}
}
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Solid pick for teams standardizing on skills: embedded-systems is focused, and the summary matches what you get after install.
embedded-systems has been reliable in day-to-day use. Documentation quality is above average for community skills.
embedded-systems has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in embedded-systems — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
embedded-systems fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend embedded-systems for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added embedded-systems from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in embedded-systems — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
embedded-systems fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend embedded-systems for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
showing 1-10 of 69