Project report / GitHub evidence

Qt AI Skills Model Card

这是可索引项目报告证据页:它保留 Qt AI Skills Model Card 的源材料入口、机制线索和限制提醒;正文仍需 reader/editor 与 academic public-copy review 后才能当作最终结论引用。

Qt AI Skills Model Card

FieldValue
RepositoryTheQtCompanyRnD/agent-skills
CategoryIndustrial Agent Skill Pack
Stars / forks snapshot171 / 16
LanguagePython/C++/HTML
LicenseBSD-3-Clause
Raw captureraw-github/theqtcompanyrnd_agent-skills.md
Updated byhourly public metadata update, 2026-05-24

1. Role in Self Evolve

Qt AI Skills 是 Qt 官方工程技能包,把 Qt C++/QML review、deterministic rules、parallel deep-analysis agents 和跨 Codex/Claude/Gemini/Copilot 安装路径放在同一仓库。

2. Working Principle

domain engineering standards -> SKILL.md skill directories -> deterministic lint rules -> parallel deep-analysis agents -> cross-tool install paths

3. Evidence Path

web GitHub page observed 27 commits, BSD-3-Clause license, Python/C++/HTML stack, Qt C++ and QML review skills, Codex/Claude/Gemini/Copilot install paths, 171 stars and 16 forks. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the current snapshot as web-observed rather than API-verified.

4. Teaching Use

Use this card to explain Industrial Agent Skill Pack in the raw -> classification -> project card -> site/report pipeline. The reading path is: raw capture -> classification row -> public site card -> project report -> aggregate GitHub analysis.

5. Limits

当前未克隆源码,未运行 benchmark、SDK examples、skill install flows、memory experiments 或 production deployments;star/fork/commit 快照来自公开 GitHub 页面文本或可见页面片段。