Skele-Code is a natural-language and graph-based interface for building workflows with AI agents, designed especially for less or non-technical users. It supports incremental, interactive notebook-style development, and each step is converted to code with a required set of functions and behavior to enable incremental building of workflows. Agents are invoked only for code generation and error recovery, not orchestration or task execution. This agent-supported, but code-first approach to workflows, along with the context-engineering used in Skele-Code, can help reduce token costs compared to the multi-agent system approach to executing workflows. Skele-Code produces modular, easily extensible, and shareable workflows. The generated workflows can also be used as skills by agents, or as steps in other workflows.

翻译：骨架代码是一种基于自然语言和图表的接口，用于构建AI智能体工作流，尤其适合非技术或技术能力较弱的用户。它支持增量式、交互式的笔记本风格开发，每一步都会转换为包含必要函数集和行为集的代码，从而支持工作流的增量构建。智能体仅用于代码生成和错误恢复，而不参与编排或任务执行。这种智能体支持但以代码为先的工作流方法，结合骨架代码中使用的上下文工程，有助于降低与多智能体系统方法执行工作流相比的令牌成本。骨架代码生成模块化、易于扩展且可共享的工作流。生成的工作流还可作为智能体的技能，或作为其他工作流中的步骤。