Build KDE Plasma plasmoid widgets with Python backend and QML UI.
npx skills add https://github.com/CodeAtCode/oss-ai-skills --skill kde-plasmoid
Please help me install this Agent Skill. Skill: kde-plasmoid Source: https://github.com/CodeAtCode/oss-ai-skills/tree/main/extend/kde-plasmoid Command: npx skills add https://github.com/CodeAtCode/oss-ai-skills --skill kde-plasmoid
Provides a complete, modern guide for building KDE Plasma widgets (Plasmoids) using a Python backend with a QML UI, including required metadata configuration and distribution steps for KDE Store.
Follow this guide to scaffold a Plasma widget project with Python backend and QML UI.
High-intent search queries and answers about installing and using this skill.
To develop KDE Plasma widgets with Python and QML, structure your project under a plasmoid/ directory, define a QObject-based Python backend, build the UI with Kirigami, and configure metadata.json for Plasma 6+.
A correct Plasma 6 plasmoid structure requires a metadata.json file, a contents/config directory, and a main.qml file, separating Python backend logic from QML UI components.
Yes, you can use Python for backend logic in a KDE Plasma widget by implementing QObject-based classes that interface directly with your QML UI powered by Kirigami.
To package and distribute a plasmoid to the KDE Store, configure your metadata.json and contents/config, package the project directory, and submit it through the KDE Store submission workflow.
You test a Plasma widget locally during development by using the plasmoidviewer tool to render and interact with your QML UI and Python backend before final packaging.
martimramosStandardize C++ project builds, tests, and static analysis with CMake and Make.
DetrousArchive, sign, and notarize macOS apps with xcodebuild and Developer ID.
endlessblinkDebug and fix KDE Plasma 6 plasmoid and QML widget issues.
gvellutAutomate PySide6 desktop apps and capture screenshots via a Python server/client.
