arduino-code-generator
Generate Arduino and embedded C++ snippets for sensors, actuators, buses, state machines, timing, data logging, and hardware abstraction. Use when a user requests implementation code and provide the exact board, framework, toolchain, pins, voltage, memory, and library versions first. Bundled templates target UNO, ESP32, and RP2040; document unsupported board or vendor-framework behavior instead of guessing.
- Installs
- 429
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/wedsamuel1230/embedded-engineering-skills --skill arduino-code-generator- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads arduino-code-generator automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Arduino Code Generator
Generate production-quality Arduino code snippets for sensors, actuators, communication, and embedded patterns.
Quick Start
Browse example sketches:
# See 9 production-ready examples in examples/ folder
ls examples/
# config-example.ino, filtering-example.ino, buttons-example.ino,
# i2c-example.ino, csv-example.ino, scheduler-example.ino,
# state-machine-example.ino, hardware-detection-example.ino,
# data-logging-example.ino
List available patterns:
uv run --no-project scripts/generate_snippet.py --list
Generate code for specific pattern and board:
uv run --no-project scripts/generate_snippet.py --pattern i2c --board esp32
uv run --no-project scripts/generate_snippet.py --pattern buttons --board uno --output button.ino
Interactive mode:
uv run --no-project scripts/generate_snippet.py --interactive
Target Gate
Read the shared contract and the board profile before selecting pins, APIs, or libraries. Keep board-specific branches isolated, check memory and peripheral constraints, and state whether the result has build proof only or also has upload, hardware, and system proof. The generator's board flag is a template selector, not evidence that the generated code works on a similar-looking board.
Resources
- examples/ - 9 production-ready example sketches (one per pattern category)
- examples/README.md - Detailed documentation for each example with wiring diagrams
- scripts/generate_snippet.py - CLI tool for code generation with 9 pattern templates
- scripts/verify_patterns.ps1 - Compile examples for UNO/ESP32/RP2040 (PowerShell)
- scripts/verify_patterns.sh - Compile examples for UNO/ESP32/RP2040 (bash)
- assets/workflow.mmd - Mermaid diagram of code generation workflow
Supported Patterns
Hardware Abstraction
- Multi-board config.h with conditional compilation
- Pin definitions for UNO/ESP32/RP2040
- Memory budget tracking
See patterns-config.md | Example: config-example.ino
Sensor Reading & Filtering
- ADC noise reduction (moving average, median, Kalman)
- DHT22, BME280, analog sensors
- Data validation and calibration
See patterns-filtering.md | Example: filtering-example.ino
Input Handling
- Software button debouncing
- Edge detection (PRESSED/RELEASED/LONG_PRESS)
- Multi-button management
See patterns-buttons.md | Example: buttons-example.ino
Communication
- I2C device scanning and diagnostics
- SPI configuration
- UART/Serial protocols
- CSV data output
See patterns-i2c.md and patterns-csv.md | Examples: i2c-example.ino, csv-example.ino
Timing & Concurrency
- Non-blocking millis() patterns
- Task scheduling without delay()
- Priority-based schedulers
- State machines
See patterns-scheduler.md and patterns-state-machine.md | Examples: scheduler-example.ino, state-machine-example.ino
Hardware Detection
- Auto-detect boards (UNO/ESP32/RP2040)
- SRAM usage monitoring
- Sensor fallback strategies
- Adaptive configuration
See patterns-hardware-detection.md | Example: hardware-detection-example.ino
Data Persistence
- EEPROM with CRC validation
- SD card FAT32 logging
- Wear leveling for EEPROM
- Buffered writes
See patterns-data-logging.md | Example: data-logging-example.ino
Code Generation Workflow
- Identify Pattern Type - Analyze user request to determine core pattern category
- Read Reference Documentation - Consult pattern-specific reference files for implementation details
- Generate Code - Create production-ready code following quality standards
- Provide Instructions - Include wiring diagrams and usage guidance
- Mention Integration - Suggest combinations with other patterns when relevant
Quality Standards & Rules
- Quality Standards - Compilation, timing, memory safety, and error handling requirements
- Board Optimization - UNO, ESP32, and RP2040 specific optimizations and features
- Common Pitfalls - Critical mistakes to avoid in Arduino development
Code Output Template
- Code Template - Standardized structure for generated Arduino sketches
Resources
- examples/ - 9 production-ready example sketches (one per pattern category)
- examples/README.md - Detailed documentation for each example with wiring diagrams
- scripts/generate_snippet.py - CLI tool for code generation with 9 pattern templates
- assets/workflow.mmd - Mermaid diagram of code generation workflow
- workflow/ - Step-by-step code generation process
- rules/ - Quality standards and board-specific optimizations
- templates/ - Code output templates and structure guidelines
- references/ - Detailed pattern documentation and API references
- references/README.md - Reference structure and formatting guide
Shared Output Contract
Use the shared Arduino skill contract: state assumptions, required tools and versions, implementation steps, tests/evidence by proof stage, known limitations, and recovery/security notes.
FAQ
What does the arduino-code-generator skill do?
Generate Arduino and embedded C++ snippets for sensors, actuators, buses, state machines, timing, data logging, and hardware abstraction. Use when a user requests implementation code and provide the exact board, framework, toolchain, pins, voltage, memory, and library versions first. Bundled templates target UNO, ESP32, and RP2040; document unsupported board or vendor-framework behavior instead of guessing.
How do I install arduino-code-generator?
Run npx skills add https://github.com/wedsamuel1230/embedded-engineering-skills --skill arduino-code-generator in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/arduino-code-generator/ (personal) or .claude/skills/arduino-code-generator/ (project).
Which AI agents can use arduino-code-generator?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is arduino-code-generator safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains arduino-code-generator?
It is published by wedsamuel1230 in wedsamuel1230/embedded-engineering-skills. It has 429 recorded installs.
More from wedsamuel1230/embedded-engineering-skills
arduino-project-builder
wedsamuel1230/embedded-engineering-skills
Build complete Arduino and embedded projects across Arduino IDE, Arduino CLI, PlatformIO, and vendor-specific toolchains. Use when users request an application combining firmware, sensors, actuators, networking, power, or deployment rather than a code snippet. The bundled scaffold targets UNO, ESP32, and Raspberry Pi Pico; use the board profile and document limitations for other targets.
circuit-debugger
wedsamuel1230/embedded-engineering-skills
Open the skill to read its SKILL.md instructions.
arduino-serial-monitor
wedsamuel1230/embedded-engineering-skills
Open the skill to read its SKILL.md instructions.
error-message-explainer
wedsamuel1230/embedded-engineering-skills
Open the skill to read its SKILL.md instructions.
enclosure-designer
wedsamuel1230/embedded-engineering-skills
Open the skill to read its SKILL.md instructions.
power-budget-calculator
wedsamuel1230/embedded-engineering-skills
Open the skill to read its SKILL.md instructions.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.