MCP-Agent-Template 是做什么的？
🤖 使用现成组件构建多智能体、检索增强型AI工作流，适用于文档服务、问答机器人和智能体编排。
🤖 使用现成组件构建多智能体、检索增强型AI工作流，适用于文档服务、问答机器人和智能体编排。
Misaya0/MCP-Agent-Template 是一个用于构建多智能体和检索增强型AI工作流的模板项目。它提供了一系列即用型组件，帮助开发者快速实现文档服务、问答机器人以及智能体编排等常见场景。该模板基于 MCP（Model Context Protocol）架构，支持多智能体协作与检索增强生成（RAG），并可灵活集成各种外部工具和数据源。它适用于 AI 代理平台（如 Claude Code, Cursor, Codex 等），通过模块化设计简化了复杂AI工作流的搭建过程。
npx skills add Misaya0/MCP-Agent-Template🤖 使用现成组件构建多智能体、检索增强型AI工作流，适用于文档服务、问答机器人和智能体编排。
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".