arduino-project-builder
Build complete, production-ready Arduino projects (environmental monitors, robot controllers, IoT devices, automation systems). Assembles multi-component systems combining sensors, actuators, communication protocols, state machines, data logging, and power management. Supports Arduino UNO, ESP32, and Raspberry Pi Pico with board-specific optimizations. Use this skill when users request complete Arduino applications, not just code snippets.
Best use case
arduino-project-builder is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Build complete, production-ready Arduino projects (environmental monitors, robot controllers, IoT devices, automation systems). Assembles multi-component systems combining sensors, actuators, communication protocols, state machines, data logging, and power management. Supports Arduino UNO, ESP32, and Raspberry Pi Pico with board-specific optimizations. Use this skill when users request complete Arduino applications, not just code snippets.
Teams using arduino-project-builder should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/arduino-project-builder/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How arduino-project-builder Compares
| Feature / Agent | arduino-project-builder | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Build complete, production-ready Arduino projects (environmental monitors, robot controllers, IoT devices, automation systems). Assembles multi-component systems combining sensors, actuators, communication protocols, state machines, data logging, and power management. Supports Arduino UNO, ESP32, and Raspberry Pi Pico with board-specific optimizations. Use this skill when users request complete Arduino applications, not just code snippets.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Arduino Project Builder Assemble complete, working Arduino projects from requirements. This skill combines multiple patterns (sensors, actuators, state machines, logging, communication) into cohesive systems. ## Quick Start **List available project types:** ```bash uv run --no-project scripts/scaffold_project.py --list ``` **Create a complete project:** ```bash uv run --no-project scripts/scaffold_project.py --type environmental --board esp32 --name "WeatherStation" uv run --no-project scripts/scaffold_project.py --type robot --board uno --output ./my-robot ``` **Interactive mode:** ```bash uv run --no-project scripts/scaffold_project.py --interactive ``` ## Resources - **examples/** - Complete project examples (environmental monitor, robot controller, IoT device) - **scripts/scaffold_project.py** - CLI tool for project scaffolding (config.h, main.ino, platformio.ini, README) - **assets/workflow.mmd** - Mermaid diagram of project assembly workflow ## Supported Project Types ### Environmental Monitors Multi-sensor data loggers (temperature, humidity, light, air quality) See [Environmental Monitor Example](examples/project-environmental-monitor.md) ### Robot Controllers Motor control, sensor fusion, obstacle avoidance, state machines See [Robot Controller Example](examples/project-robot-controller.md) ### IoT Devices WiFi/MQTT data transmission, cloud integration, remote monitoring See [IoT Device Example](examples/project-iot-device.md) ### Home Automation Relay control, scheduled tasks, sensor-triggered actions ### Data Acquisition Systems High-frequency sampling, SD card logging, real-time visualization ## Project Assembly Workflow - [ ] **[Requirements Gathering](workflow/step1-requirements-gathering.md)** - Analyze user request and gather project specifications - [ ] **[Architecture Design](workflow/step2-architecture-design.md)** - Design component connections, data flow, and state machines - [ ] **[Code Assembly](workflow/step3-code-assembly.md)** - Combine patterns and customize for user hardware - [ ] **[Testing & Validation](workflow/step4-testing-validation.md)** - Verify compilation, memory usage, and functionality - [ ] **[Documentation](workflow/step5-documentation.md)** - Create wiring diagrams, usage instructions, and troubleshooting guides ## Quality Standards & Rules - [ ] **[Quality Standards](rules/quality-standards.md)** - Hardware abstraction, non-blocking code, error handling, and memory safety requirements - [ ] **[Integration Checklist](rules/integration-checklist.md)** - Pre-delivery verification for sensor validation, timing, and reliability - [ ] **[Board Considerations](rules/board-considerations.md)** - UNO, ESP32, and RP2040 specific optimizations and constraints ## Project Output Template - [ ] **[Output Template](templates/project-output-template.md)** - Standardized format for delivering complete Arduino projects ## Resources - **examples/** - Complete project examples with full implementations - **scripts/scaffold_project.py** - CLI tool for project scaffolding with config.h, main.ino, platformio.ini, README - **assets/workflow.mmd** - Mermaid diagram of project assembly workflow - **workflow/** - Step-by-step project assembly process - **rules/** - Quality standards and board-specific optimizations - **templates/** - Project output templates and documentation standards
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