Qt AI Skills

Official agentic skills for Qt software development and quality assurance, designed for use with AI coding tools such as Claude Code, Codex CLI, Gemini CLI, and GitHub Copilot.

Skills have been tested with frontier LLMs from the Claude, Gemini, and GPT model families.

There is no settled industry standard for AI skill packaging. Each platform has its own conventions. Our canonical format uses SKILL.md with YAML frontmatter in a directory-based structure — this works natively on Claude Code, Codex CLI, and GitHub Copilot, and can be adapted to other platforms through condensed variants. See CONTRIBUTING.md for the full cross-platform story.

> These agentic development skills use AI and can make mistakes. > Always double-check the output carefully. > > Before using the skills under Qt commercial licensing, make > sure you have understood and agree to the > Qt AI Services Terms & Conditions. > By using the skills or MCP tools, you accept these terms & > conditions and that you have the right to do so on behalf of > your employer.

Skills

| Skill | Type | Description | |-------|------|-------------| | qt-cpp-review | Review | Deterministic linting + 6 parallel deep-analysis agents for Qt C++ code. Covers model rule compliance, memory ownership, thread safety, correctness, error handling, and performance. | | qt-qml-review | Review | Deterministic QML linting (47+ rules) + parallel deep-analysis agents for bindings, layout, loaders, delegates, states, and performance. | | qt-qml | Conceptual | QML best practices for writing, reviewing, fixing, and refactoring. Corrects systematic LLM pre-training biases around bindings, scoping, modules, JS interop, and types. | | qt-ui-design | Conceptual | UI design and audit for Qt/QML, web, and embedded (MPU/MCU) targets. Covers screen layout, navigation, and UX review with platform-aware defaults for geometry, viewing distance, input, and locale. | | qt-qml-docs | Process | Generates Markdown reference documentation for QML components and applications from .qml source files. | | qt-cpp-docs | Process | Generates Markdown reference documentation for Qt/C++ source files — classes, modules, utilities, headers, and entry points. | | qt-qml-profiler | Tool | Runs qmlprofiler on a 2D QML / Qt Quick application, parses the .qtd trace, and analyzes hotspots against the source code with frame-time, memory, and pixmap-cache summaries. Does not cover Qt Quick 3D. | | qt-qml-test | Process | Generates Qt Quick Test cases (tst_.qml) for QML components using TestCase, SignalSpy, and tryCompare. Handles single files and batches. Does not cover CMake or runner setup. | | qt-qml-test-run | Tool | Builds and runs Qt Quick Test (qmltestrunner) tests for a CMake project, parses the JUnit XML, and writes a Markdown report. Opt-in CMake test-infrastructure wiring with --wire-up. Companion to qt-qml-test. | | qt-figma-token-extraction | Process | Extracts design tokens, text styles, and variables from a Figma design system and produces a design-tokens.json plus ready-to-use QML singletons. | | qt-figma-component-generation | Process | Extracts component metadata from a Figma design system and generates production-ready QML controls mapped to Qt Quick Controls 2 patterns. Requires tokens from qt-figma-token-extraction. | | qt-project | Conceptual | Sets up and manages Qt 6 projects built with CMake — fresh projects, executables, libraries, QML modules, plugins, folder layout, and static resources. Corrects systematic LLM biases around qmake-isms and the legacy qt5_ macros. |

Skill types

• Review — structured code review workflows combining

deterministic linters with deep AI analysis

• Process — workflows and decision frameworks

(architecture, build, test, documentation)

• Conceptual — mental model corrections for areas where

LLMs consistently fail (declarative QML, C++/QML boundary, Widgets patterns, UI design)

• Tool — guidance on Qt CLI tools and testing solutions

MCP Tools

| Tool | Description | |------|-------------| | qt-documentation-mcp | Hosted MCP server for Qt API documentation lookup across the latest release and active LTS branches. Bundled with the qt-development-skills plugin; also available standalone via the official MCP registry as io.qt/qt-documentation-mcp. |

Qt Documentation MCP Tool

See mcp/qt-documentation-mcp/README.md for endpoint and manual setup instructions for AI clients other than Claude Code.

Repository Structure

skills/                           # All skills live here
  qt-cpp-review/                  #   Each skill is a directory
    SKILL.md                      #   with a SKILL.md entry point
    references/                   #   and optional reference docs
      lint-scripts/
      qt-review-checklist.md
    platforms/                    #   Platform-specific variants
  qt-qml-review/
  qt-qml/
  qt-ui-design/
  qt-qml-docs/
  qt-cpp-docs/
  qt-qml-profiler/
  qt-qml-test/
  qt-qml-test-run/
  qt-project/
mcp/                              # MCP servers bundled with the plugin
  qt-documentation-mcp/           #   Each server is a directory
    README.md                     #   with its own README
.mcp.json                         # MCP registration for Claude Code
.claude-plugin/                   # Claude Code CLI & Copilot CLI plugin config
gemini-extension.json             # Gemini CLI extension manifest
docs/                             # Source for the docs site (MkDocs)
CONTRIBUTING.md
LICENSE
README.md

Skill Format

Every skill is a directory containing a SKILL.md file with YAML frontmatter. This format aligns with what Claude Code and Codex CLI support natively:

---
name: qt-qml-review
description: >-
  Reviews QML source files for correctness, performance, and
  maintainability. Deterministic linting (47+ rules) plus
  parallel deep-analysis agents for bindings, layout, loaders,
  delegates, states, and performance.
license: LicenseRef-Qt-Commercial OR BSD-3-Clause
compatibility: >-
  Designed for Claude Code, GitHub Copilot, and similar agents.
metadata:
  author: qt-ai-skills
  version: "1.0"
  qt-version: "6.x"
---

Key conventions

• name must be lowercase alphanumeric + hyphens, max

64 chars, and must match the directory name

• description must describe what the skill does AND when

to use it — front-load the key information in the first 250 characters, as some platforms truncate beyond that point

• SKILL.md body should stay under 500 lines — move detailed

content to references/ files

• Progressive disclosure: agents load only

name/description at startup, read SKILL.md body on activation, and pull references/ files only when needed

Multi-Tool Support

Skills are authored to be tool-agnostic wherever possible. However, different AI coding tools consume skills in different ways:

| Tool | Skill Location | Format | Notes | |------|---------------|--------|-------| | Claude Code CLI | ~/.claude/skills/ | SKILL.md + references (native) | Full directory model with progressive loading | | Codex CLI | ~/.codex/skills/ | SKILL.md + references (native) | Full directory model; registered in ~/.codex/config.toml | | Gemini CLI | Extension skills/ | SKILL.md + references (native) | Installed via gemini extensions install; @file.md imports | | GitHub Copilot | .github/skills/ or .claude/skills/ (project), ~/.copilot/skills/ (personal) | SKILL.md + references (native) | Auto-discovered across Copilot CLI, coding agent, and VS Code; existing .claude/skills/ setups Just Work |

When platform-specific variants are needed

Most skills work across tools without changes. When a skill needs to reach platforms that cannot read multi-file directories (e.g. Windsurf, Amazon Q), create variants in a platforms/ directory:

skills/qt-qml-review/
├── SKILL.md                       # Core skill (tool-agnostic)
├── references/
│   ├── qml-lint-rules.md
│   └── qml-review-checklist.md
└── platforms/                     # Platform-specific variants
    └── windsurf.md                #   Self-contained compact variant

The platforms/ directory is a convention for this repository. See CONTRIBUTING.md for full details on creating platform variants.

Installation

Most AI coding tools can install skills directly from this GitHub repository. Choose the method for your platform below.

Claude Code CLI

Install as a plugin using the Claude Code CLI plugin system:

/plugin marketplace add TheQtCompanyRnD/agent-skills
/plugin install qt-development-skills

Or install individual skills manually:

# Symlink a skill into your personal skills directory
ln -s "$(pwd)/skills/qt-qml-review" ~/.claude/skills/qt-qml-review

# Or copy into a project for team use
cp -r skills/qt-qml-review .claude/skills/qt-qml-review

Claude Code auto-discovers skills — no restart needed.

Codex CLI

Use Vercel's cross-platform skill installer:

npx skills add TheQtCompanyRnD/agent-skills

Or copy skills manually:

cp -r skills/qt-qml-review ~/.codex/skills/qt-qml-review

Restart Codex after adding skills.

> Note: Codex is evolving rapidly. If ~/.codex/skills/ > does not work, try ~/.agents/skills/ or .agents/skills/ > in your project root.

GitHub Copilot CLI

Copilot natively reads the same SKILL.md directory format as Claude Code. Install individual skills using GitHub CLI (preview):

gh skill install TheQtCompanyRnD/agent-skills qt-qml-review

Or copy/symlink the skill into one of Copilot's discovery paths:

# User-wide (available in any project)
cp -r skills/qt-qml-review ~/.copilot/skills/qt-qml-review

# Or scoped to a specific project
cp -r skills/qt-qml-review .github/skills/qt-qml-review

Copilot also auto-discovers skills installed for Claude Code under .claude/skills/, so a single install can serve both tools. Use /skills list inside Copilot CLI to confirm what loaded.

VSCode Agents (Copilot and others)

Run Chat: Install Plugin From Source from the Command Palette. Enter https://github.com/TheQtCompanyRnD/agent-skills (this repo) to clone and install

Gemini CLI

Install as an extension:

gemini extensions install https://github.com/TheQtCompanyRnD/agent-skills

Or import skills into your project's context file:

# Add to GEMINI.md (loaded automatically)
echo '@skills/qt-qml-review/SKILL.md' >> GEMINI.md

Documentation site

A browsable documentation site is built from the docs/ directory using MkDocs Material and published at:

> <https://doc.qt.io/agentictools/>

The canonical repo is on Gerrit (codereview.qt-project.org/qtai/qtaiskills); doc.qt.io builds are driven by the qtaiskills Rundeck job in tqtc-doctools on each push to the publishing branch.

Local preview

Requires Python 3.12+:

pip install -r requirements-docs.txt
mkdocs serve

Then open <http://127.0.0.1:8000/agent-skills/> — the dev server live-reloads on every save.

Production build

mkdocs build --strict

Output goes to site/. --strict fails on broken links and malformed nav, matching the GitHub Actions check.

Adding a new skill page

1. Create docs/skills/<skill-name>.md (use an existing skill page as a template). 2. Add it to nav: in mkdocs.yml. 3. Add a row to the table in docs/skills/index.md. 4. Run mkdocs serve to verify.

Contributing

See CONTRIBUTING.md for guidelines on authoring new skills, including:

• Naming conventions and frontmatter requirements
• How to structure progressive disclosure
• Testing skills across AI coding tools
• When and how to create platform-specific variants

License

BSD-3-Clause — see LICENSE for details.