发现和使用优秀的技能扩展
在为类型安全的LLM提取、分类、RAG或代理工作流生成BAML代码时使用,可根据自然语言需求创建包含类型、函数、客户端、测试和框架集成的完整.baml文件。通过MCP查询官方BoundaryML仓库以获取实时模式。支持多模态输入(图像、音频)、Python/TypeScript/Ruby/Go编程语言、10多种框架、50-70%的令牌优化以及95%以上的编译成功率。
Use when generating BAML code for type-safe LLM extraction, classification, RAG, or agent workflows - creates complete .baml files with types, functions, clients, tests, and framework integrations from natural language requirements. Queries official BoundaryML repositories via MCP for real-time patterns. Supports multimodal inputs (images, audio), Python/TypeScript/Ruby/Go, 10+ frameworks, 50-70% token optimization, 95%+ compilation success.