qt-qml

Qt6 C++ code review skill that runs deterministic linting (60+ rules) then six parallel deep-analysis agents covering model contracts, ownership, threading, API correctness, error handling, and performance — reports only high-confidence issues.

A structured, read-only code review skill for Qt6 QML that combines a 47+ rule deterministic Python linter with six parallel deep-analysis agents covering bindings, layout, loaders, delegates, states, and performance.

Generates standalone Markdown reference documentation for any Qt/C++ source file — including Qt classes, plain C++ structs, free-function headers, and application entry points like main.cpp. Works with single files, pasted code, or entire project folders, and handles the full spectrum of Qt project file types.

Generates standalone Markdown reference documentation for QML components and Qt Quick applications by reading .qml source files and producing structured docs with component overviews, property tables, signal/handler references, and usage examples.

Runs qmlprofiler on 2D QML/Qt Quick applications, parses .qtd trace files, and analyzes performance hotspots against source code with frame-time, memory, and pixmap-cache summaries. Part of the official Qt AI Skills collection.

Part of the official Qt AI Skills collection for Qt software development and quality assurance. The repository provides review, process, conceptual, and tool skills for Qt C++ and QML development, including code review, documentation generation, and profiling, with MCP-based Qt documentation lookup.

Official Qt AI skills for Qt and QML software development and quality assurance. Includes deterministic linting, parallel deep-analysis agents for C++ and QML code review, and CMake project management with cross-platform support.

Official Qt AI skills from The Qt Company for Qt and QML software development and quality assurance. Provides structured workflows for running QML tests and QA processes, tested with Claude, Gemini, and GPT model families.

Skill

Skill