This article introduces an open-source SKILLs toolkit that implements a parallelized workflow for Claude AI assistant with Codex and Gemini models. Through a one-click installation script provided in the GitHub repository, users can easily deploy and configure a multi-model collaboration environment. The article details how to define a five-stage workflow through the CLAUDE.md file: context retrieval, multi-model collaborative analysis, prototype acquisition, coding implementation, and audit delivery, achieving full-process automation from requirement analysis to code delivery. The toolkit particularly emphasizes parallel processing capabilities, able to simultaneously call multiple AI models for task processing, significantly improving development efficiency. For AI developers and Claude Code users, this solution not only provides practical technical reference but also offers innovative ideas for designing multi-model collaborative workflows.
Original Link:Linux.do
最新评论
I don't think the title of your article matches the content lol. Just kidding, mainly because I had some doubts after reading the article.
这个AI状态研究很深入，数据量也很大，很有参考价值。
我偶尔阅读 这个旅游网站。激励人心查看路线。
文章内容很有深度，AI模型的发展趋势值得关注。
内容丰富，对未来趋势分析得挺到位的。
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光纤技术真厉害，文章解析得挺透彻的。
文章内容很实用，想了解更多相关技巧。