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.
