Official agentic engineering skills for Qt software development and quality assurance, designed for use with AI coding tools such as Claude Code CLI, 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 and Codex CLI,
and can be adapted to other platforms through condensed
variants. See CONTRIBUTING.md for the full
cross-platform story.
These agentic engineering 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.
| 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-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. |
- 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
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-qml-docs/
qt-cpp-docs/
.claude-plugin/ # Claude Code CLI & Copilot CLI plugin config
gemini-extension.json # Gemini CLI extension manifest
CONTRIBUTING.md
LICENSE
README.md
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"
---namemust be lowercase alphanumeric + hyphens, max 64 chars, and must match the directory namedescriptionmust 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/descriptionat startup, readSKILL.mdbody on activation, and pullreferences/files only when needed
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/agents/ |
Markdown agent profiles | Self-contained; also installable as plugin via .claude-plugin/ |
Most skills work across tools without changes. When a skill
needs to reach platforms that cannot read multi-file directories
(e.g. Copilot), 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
└── copilot.prompt.md # Self-contained Copilot agent
The platforms/ directory is a convention for this repository.
See CONTRIBUTING.md for full details on
creating platform variants.
Most AI coding tools can install skills directly from this GitHub repository. Choose the method for your platform below.
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-reviewClaude Code auto-discovers skills — no restart needed.
Use Vercel's cross-platform skill installer:
npx skills add TheQtCompanyRnD/agent-skillsOr copy skills manually:
cp -r skills/qt-qml-review ~/.codex/skills/qt-qml-reviewRestart 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.
Register as a marketplace first, then install by name:
copilot plugin marketplace add TheQtCompanyRnD/agent-skills
copilot plugin install qt-development-skills@qt-skills-and-tools
Or copy platform variants into your repository:
# As a custom agent (invoked with @qt-qml-review in chat)
cp skills/qt-qml-review/platforms/copilot.prompt.md \
.github/agents/qt-qml-review.agent.mdRun Chat: Install Plugin From Source from the Command Palette.
Enter https://github.com/TheQtCompanyRnD/agent-skills (this repo) to clone and install
Install as an extension:
gemini extensions install https://github.com/TheQtCompanyRnD/agent-skillsOr import skills into your project's context file:
# Add to GEMINI.md (loaded automatically)
echo '@skills/qt-qml-review/SKILL.md' >> GEMINI.mdSee 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
BSD-3-Clause — see LICENSE for details.