OpenTrickler-RP2040-Controller

Enforce and review this project's C/C++ coding style for RP2040/RP2350 Pico SDK firmware. Use this skill whenever writing, editing, or reviewing .c, .h, .cpp, .hpp, CMakeLists, Pico SDK module code, FreeRTOS task/queue/semaphore code, u8g2/MUI display code, lwIP/CYW43 wireless or REST endpoint code, EEPROM configuration code, PIO/UART/I2C/SPI/PWM driver code, or embedded target configuration in this repository. Apply it proactively for C/C++ refactors, bug fixes, feature work, and code-review requests; do not wait for the user to ask for style explicitly.

Write, review, or improve execution-ready development plans for multi-file changes, migrations, decommissions, architecture changes, prompt/LLM pipeline changes, database changes, or risky refactors. Use this skill whenever the user asks for a development plan, implementation plan, refactor plan, migration plan, decommission plan, or asks you to evaluate whether a plan is clear enough for an AI agent to execute. The plan must serve both a human reader and an implementation agent, resolve decisions before finalizing, state cutover policy explicitly, and prevent agents from inventing scope.

Enforce and review Python coding style for this project. Use this skill whenever you are writing new Python code, reviewing existing Python files, or responding to feedback about code quality. Trigger on any task that involves creating or modifying .py files, reviewing a function or class, or when the user asks about code style, best practices, or refactoring. Always apply these rules proactively — don't wait for the user to ask.

Manage Python virtual environments for the project. Use this skill whenever you need to create, activate, or verify a Python virtual environment, install dependencies, or check if a venv exists. Triggers when setting up a development environment, installing Python packages, running pip install, or any task that requires an isolated Python environment. Always use this skill before installing packages — it ensures the venv is in the correct location and avoids polluting the global Python installation.