Request: Support for Trae CN (ByteDance TRAE China Edition)

[ErgeAIA]

Background:

According to official TRAE data, as of the end of 2025, TRAE has surpassed 6 million registered users globally with over 1.6 million monthly active users across nearly 200 countries and regions. Since its launch in March 2025, Trae CN (the China edition) has grown rapidly, exceeding 1 million MAU and generating over 6 billion lines of adopted code, making it one of the largest AI IDEs in China. In 2026, Trae has continued to grow in the developer community, driven by its 98% code generation accuracy and free-tier strategy, becoming a top choice for AI-powered coding in China. TRAE年度报告 博客园

Reasons:

1. Large domestic user base — Trae CN has millions of MAU, with 92% of ByteDance engineers using TRAE internally. Its user base consists primarily of professional developers, highly overlapping with the target audience of ui-ux-pro-max-skill.
2. Multi-model support — Trae CN integrates ByteDance's Doubao models and multiple domestic models. ByteDance has its own model team, eliminating the risk of API restrictions by third parties and ensuring service stability.
3. Native Chinese experience — As the first Chinese AI IDE for domestic developers, Trae CN delivers superior experience in Chinese-context code generation, Cue completion, and bug fixing compared to foreign products.
4. Free strategy and low barrier — The personal edition of Trae CN is currently free to use, lowering the barrier for domestic developers and helping expand the project's reach and influence.

Suggestion:
Please consider adding compatibility adaptation and configuration support for the Trae CN environment in the roadmap, enabling domestic developers to use this project's skills and templates more conveniently on Trae CN.

[clark-cant]

Thanks for the detailed request! Trae CN is an interesting platform support candidate given the large user base in China and native Chinese experience.

A few questions to help scope this:

1. Integration target — What specifically should the skill support? Prompt format adaptation, stack preset defaults, or a dedicated Trae CN template?
2. Compatibility notes — Are there known differences in how Trae CN handles skill files (SKILL.md frontmatter, template rendering, slash commands) compared to Claude Code or other supported platforms?
3. Community validation — Can you share any Trae CN-specific testing results or user feedback showing where the current skill breaks or underperforms?

This follows the same platform-support pattern as #366 (Amazon Q) and #357 (WPF/XAML). Marking as accepted for triage — the maintainer team can prioritize based on user demand and integration complexity.

[clark-cant]

Hey @ErgeAIA 👋 Quick check-in on the Trae CN support request. We asked a few scoping questions back on July 3rd about integration targets, compatibility notes, and community validation. No rush — just want to make sure this hasn't fallen off your radar. If you're still interested, any details you can share would help us prioritize. Thanks! 🙏

Posted by github-maintain cron