为 Microsoft 365 Copilot 生成 TypeSpec Agent

作者原文

Generate a complete TypeSpec declarative agent with instructions, capabilities, and conversation starters for Microsoft 365 Copilot

SkillPi 解读

能完成的任务

为 Microsoft 365 Copilot 生成 TypeSpec Agent

适合谁

Microsoft 365 Copilot Agent 开发者。

输入和输出

Agent 角色、能力和知识源 → main.tsp。

软件、账号及付费要求

需要 TypeSpec 与 @microsoft/typespec-m365-copilot；目标 Microsoft 365 权限及服务访问条件需另行确认。 使用时由宿主核对并授权实际文件读写和外部服务。文档引用域名（非运行白名单）：未列出 HTTP(S) 域名。

限制与区别

基于文档整理；脚本、素材、外部服务与兼容性均未实测。

实测状态

未测试

安全评级与访问范围

caution · 静态证据核验，不代表运行安全保证。

需要 TypeSpec 与 @microsoft/typespec-m365-copilot；目标 Microsoft 365 权限及服务访问条件需另行确认。 使用时由宿主核对并授权实际文件读写和外部服务。文档引用域名（非运行白名单）：未列出 HTTP(S) 域名。

使用前请由宿主核对并授权实际文件读写、外部服务和联网目的地；本站的核验不会授予任何运行权限。

原始 SKILL.md

---
name: typespec-create-agent
description: 'Generate a complete TypeSpec declarative agent with instructions, capabilities, and conversation starters for Microsoft 365 Copilot'
---

# Create TypeSpec Declarative Agent

Create a complete TypeSpec declarative agent for Microsoft 365 Copilot with the following structure:

## Requirements

Generate a `main.tsp` file with:

1. **Agent Declaration**
   - Use `@agent` decorator with a descriptive name and description
   - Name should be 100 characters or less
   - Description should be 1,000 characters or less

2. **Instructions**
   - Use `@instructions` decorator with clear behavioral guidelines
   - Define the agent's role, expertise, and personality
   - Specify what the agent should and shouldn't do
   - Keep under 8,000 characters

3. **Conversation Starters**
   - Include 2-4 `@conversationStarter` decorators
   - Each with a title and example query
   - Make them diverse and showcase different capabilities

4. **Capabilities** (based on user needs)
   - `WebSearch` - for web content with optional site scoping
   - `OneDriveAndSharePoint` - for document access with URL filtering
   - `TeamsMessages` - for Teams channel/chat access
   - `Email` - for email access with folder filtering
   - `People` - for organization people search
   - `CodeInterpreter` - for Python code execution
   - `GraphicArt` - for image generation
   - `GraphConnectors` - for Copilot connector content
   - `Dataverse` - for Dataverse data access
   - `Meetings` - for meeting content access

## Template Structure

```typescript
import "@typespec/http";
import "@typespec/openapi3";
import "@microsoft/typespec-m365-copilot";

using TypeSpec.Http;
using TypeSpec.M365.Copilot.Agents;

@agent({
  name: "[Agent Name]",
  description: "[Agent Description]"
})
@instructions("""
  [Detailed instructions about agent behavior, role, and guidelines]
""")
@conversationStarter(#{
  title: "[Starter Title 1]",
  text: "[Example query 1]"
})
@conversationStarter(#{
  title: "[Starter Title 2]",
  text: "[Example query 2]"
})
namespace [AgentName] {
  // Add capabilities as operations here
  op capabilityName is AgentCapabilities.[CapabilityType]<[Parameters]>;
}
```

## Best Practices

- Use descriptive, role-based agent names (e.g., "Customer Support Assistant", "Research Helper")
- Write instructions in second person ("You are...")
- Be specific about the agent's expertise and limitations
- Include diverse conversation starters that showcase different features
- Only include capabilities the agent actually needs
- Scope capabilities (URLs, folders, etc.) when possible for better performance
- Use triple-quoted strings for multi-line instructions

## Examples

Ask the user:
1. What is the agent's purpose and role?
2. What capabilities does it need?
3. What knowledge sources should it access?
4. What are typical user interactions?

Then generate the complete TypeSpec agent definition.

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