typespec-create-agent

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

28,865 stars

Best use case

typespec-create-agent is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

Teams using typespec-create-agent should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/typespec-create-agent/SKILL.md --create-dirs "https://raw.githubusercontent.com/github/awesome-copilot/main/plugins/typespec-m365-copilot/skills/typespec-create-agent/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/typespec-create-agent/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How typespec-create-agent Compares

Feature / Agenttypespec-create-agentStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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.

Related Skills

create-tldr-page

28865
from github/awesome-copilot

Create a tldr page from documentation URLs and command examples, requiring both URL and command name.

create-spring-boot-kotlin-project

28865
from github/awesome-copilot

Create Spring Boot Kotlin Project Skeleton

create-specification

28865
from github/awesome-copilot

Create a new specification file for the solution, optimized for Generative AI consumption.

create-readme

28865
from github/awesome-copilot

Create a README.md file for the project

create-llms

28865
from github/awesome-copilot

Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/

create-github-pull-request-from-specification

28865
from github/awesome-copilot

Create GitHub Pull Request for feature request from specification file using pull_request_template.md template.

create-github-issues-for-unmet-specification-requirements

28865
from github/awesome-copilot

Create GitHub Issues for unimplemented requirements from specification files using feature_request.yml template.

create-github-issue-feature-from-specification

28865
from github/awesome-copilot

Create GitHub Issue for feature request from specification file using feature_request.yml template.

create-github-action-workflow-specification

28865
from github/awesome-copilot

Create a formal specification for an existing GitHub Actions CI/CD workflow, optimized for AI consumption and workflow maintenance.

create-architectural-decision-record

28865
from github/awesome-copilot

Create an Architectural Decision Record (ADR) document for AI-optimized decision documentation.

create-agentsmd

28865
from github/awesome-copilot

Prompt for generating an AGENTS.md file for a repository

typespec-create-api-plugin

28865
from github/awesome-copilot

Generate a TypeSpec API plugin with REST operations, authentication, and Adaptive Cards for Microsoft 365 Copilot