typespec-create-agent

github/awesome-copilot · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/github/awesome-copilot --skill typespec-create-agent
0 commentsdiscussion
summary

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

  • Produces a main.tsp file with agent declaration, instructions, conversation starters, and capability definitions following Microsoft's TypeSpec M365 Copilot schema
  • Supports 10 capability types including WebSearch, OneDriveAndSharePoint, TeamsMessages, Email, People, CodeInterpreter, GraphicArt, GraphConnectors, Dataverse, and Meetings with optional scoping
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:

  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

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.

how to use typespec-create-agent

How to use typespec-create-agent on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add typespec-create-agent
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/github/awesome-copilot --skill typespec-create-agent

The skills CLI fetches typespec-create-agent from GitHub repository github/awesome-copilot and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/typespec-create-agent

Reload or restart Cursor to activate typespec-create-agent. Access the skill through slash commands (e.g., /typespec-create-agent) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.653 reviews
  • Amelia Chen· Dec 16, 2024

    typespec-create-agent is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Neel Jackson· Dec 16, 2024

    Solid pick for teams standardizing on skills: typespec-create-agent is focused, and the summary matches what you get after install.

  • Xiao Harris· Dec 12, 2024

    typespec-create-agent fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • James Srinivasan· Dec 12, 2024

    typespec-create-agent has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aditi Robinson· Dec 4, 2024

    Keeps context tight: typespec-create-agent is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aanya Liu· Nov 23, 2024

    typespec-create-agent has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ishan Ramirez· Nov 7, 2024

    Solid pick for teams standardizing on skills: typespec-create-agent is focused, and the summary matches what you get after install.

  • Sofia Tandon· Nov 7, 2024

    typespec-create-agent is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Alexander Flores· Nov 3, 2024

    Keeps context tight: typespec-create-agent is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ishan Abbas· Oct 26, 2024

    typespec-create-agent has been reliable in day-to-day use. Documentation quality is above average for community skills.

showing 1-10 of 53

1 / 6