github/awesome-copilot/skills/typespec-create-agent/SKILL.md
typespec-create-agent
Generate a complete TypeSpec declarative agent with instructions, capabilities, and conversation starters for Microsoft 365 Copilot
- Source repository stars
- 37,126
- Declared platforms
- 0
- Static risk flags
- 1
- Last source update
- 2026-07-28
- Source checked
- 2026-07-28
Decision brief
What it does—and where it fits
Create a complete TypeSpec declarative agent for Microsoft 365 Copilot with the following structure:
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/github/awesome-copilot --skill "skills/typespec-create-agent"Inspect the Agent Skill "typespec-create-agent" from https://github.com/github/awesome-copilot/blob/9933dcad5be5caeb288cebcd370eeeb2fc2f1685/skills/typespec-create-agent/SKILL.md at commit 9933dcad5be5caeb288cebcd370eeeb2fc2f1685. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
Requirements
Generate a main.tsp file with:
Agent DeclarationUse @agent decorator with a descriptive name and descriptionName should be 100 characters or less - 02
Template Structure
Review the “Template Structure” section in the pinned source before continuing.
Review and apply the “Template Structure” source section. - 03
Best Practices
Use descriptive, role-based agent names (e.g., "Customer Support Assistant", "Research Helper")
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 - 04
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?
What is the agent's purpose and role?What capabilities does it need?What knowledge sources should it access?
Permission review
Static risk signals and limitations
Reads files
The documentation asks the agent to read local files, directories, or repositories.
`Email` - for email access with folder filteringEvidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 69/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 37,126 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- github/awesome-copilot
- Skill path
- skills/typespec-create-agent/SKILL.md
- Commit
- 9933dcad5be5caeb288cebcd370eeeb2fc2f1685
- License
- MIT
- Collected
- 2026-07-28
- Default branch
- main
View the original SKILL.md
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:
-
Agent Declaration
- Use
@agentdecorator with a descriptive name and description - Name should be 100 characters or less
- Description should be 1,000 characters or less
- Use
-
Instructions
- Use
@instructionsdecorator 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
- Use
-
Conversation Starters
- Include 2-4
@conversationStarterdecorators - Each with a title and example query
- Make them diverse and showcase different capabilities
- Include 2-4
-
Capabilities (based on user needs)
WebSearch- for web content with optional site scopingOneDriveAndSharePoint- for document access with URL filteringTeamsMessages- for Teams channel/chat accessEmail- for email access with folder filteringPeople- for organization people searchCodeInterpreter- for Python code executionGraphicArt- for image generationGraphConnectors- for Copilot connector contentDataverse- for Dataverse data accessMeetings- for meeting content access
Template Structure
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:
- What is the agent's purpose and role?
- What capabilities does it need?
- What knowledge sources should it access?
- What are typical user interactions?
Then generate the complete TypeSpec agent definition.