ui-widget-developer
使用 OpenAI Apps SDK 或 MCP Apps SDK 的组件渲染支持(任意语言)为 Copilot Chat 构建 MCP 服务器。在以下情况使用此技能: - 创建与 M365 Copilot 声明式智能体集成的 MCP 服务器 - 构建在 Copilot Chat 中渲染的丰富交互式组件(React + Fluent UI) - 实现返回 structuredContent 以供组件渲染的工具 - 改造现有 MCP 服务器以支持 Copilot 组件渲染 - 设置 devtunnels 以暴露本地 MCP 服务器 - 配置带 RemoteMCPServer 运行时的 mcpPlugin.json 清单 请勿将此技能用于通用智能体开发(脚手架、清单、部署)——请改用 declarative-agent-developer。此技能仅用于 MCP 服务器 + 组件开发。 触发词:“MCP server for Copilot”、“OpenAI Apps SDK”、“Copilot widget”、“structuredContent”、“MCP plugin”、“devtunnels MCP”、“OAI app”、“widget rendering”、“UI widget”
机器翻译查看英文原文
Build MCP servers for Copilot Chat using the OpenAI Apps SDK or MCP Apps SDK widget rendering support (any language). Use this skill when: - Creating MCP servers that integrate with M365 Copilot declarative agents - Building rich interactive widgets (React + Fluent UI) that render in Copilot Chat - Implementing tools that return structuredContent for widget rendering - Adapting an existing MCP server to support Copilot widget rendering - Setting up devtunnels for localhost MCP server exposure - Configuring mcpPlugin.json manifests with RemoteMCPServer runtime Do NOT use this skill for general agent development (scaffolding, manifests, deployment) — use declarative-agent-developer instead. This skill is ONLY for MCP server + widget development. Triggers: "MCP server for Copilot", "OpenAI Apps SDK", "Copilot widget", "structuredContent", "MCP plugin", "devtunnels MCP", "OAI app", "widget rendering", "UI widget"
适用对象:软件开发与测试。自动收录 · 待核查。
原作者说明节选
从固定版本的 SKILL.md 提取,保留原文语言。以下内容属于作者说明,本站尚未验证安装、兼容或运行结果。
查看英文原文
原文涵盖的主题
- Copilot MCP Server Development
- Telemetry Tagging
- 🔀 PATH SELECTION
- MCP Apps: Install ext-apps Plugin
- 📛 PROJECT DETECTION 📛
- Scenario Routing
- 🚨 CRITICAL EXECUTION RULES 🚨
- ⚠️ MCP TOOL CONFIGURATION RULE ⚠️
Before running any atk CLI commands, set the session environment variable so all CLI invocations are tagged as skill-initiated: Run this once at the start of the session. All subsequent atk commands in the same terminal will inherit it. Before proceeding, ask the user which path they want to take using AskUserQuestion. Both are supported for M365 Copilot widget rendering. Present the tradeoffs and let them choose: | | OAI Apps (this skill) | MCP Apps Extension (modelcontextprotocol/ext-apps) | |---|---|---| | Standard | OpenAI-specific | Official MCP standard | | Works in | ChatGPT + M365 Copilot | M365 Copilot, ChatGPT, VSCode, and more | | Maturity | Battle-tested, production-ready | New official standard, growing ecosystem | | Design | OpenAI Apps SDK | MCP Apps protocol (cross-platform) | | When to choose | Existing OAI app investment | Prefer the open standard, want broadest client support | Ask: "Would you like to build an OAI app (OpenAI Apps SDK — battle-tested, works in ChatGPT and M365 Copilot) or an MCP app (new official standard — works in M365 Copilot, ChatGPT, VSCode, and more)?" OAI apps → Continue below. This skill covers everything you need. MCP apps → Install the
这里只展示节选,请以完整原文和当前要求为准。
- 来源仓库
- microsoft/skills
- 源文件
- .github/plugins/microsoft-365-agents-toolkit/skills/ui-widget-developer/SKILL.md
- 固定版本
- 9287b443662d2433c85621c7325ee72a0ce499b5
来源与内容状态
本条为自动发现的元数据,尚未完成人工文档核查;适用性与运行结果待核查。
原作者:Microsoft Skills · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-10T19:02:08.029Z。
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