typespec-create-api-plugin▌
github/awesome-copilot · updated Apr 8, 2026
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Generate TypeSpec API plugins for Microsoft 365 Copilot with REST operations, authentication, and Adaptive Cards.
- ›Scaffolds complete TypeSpec projects with agent definitions (main.tsp) and API operations (actions.tsp) following Microsoft 365 Copilot conventions
- ›Supports four authentication modes: public APIs, API key headers, OAuth2 with authorization code flow, and registered auth references
- ›Includes optional confirmation dialogs for destructive operations and Adaptive Card template
Create TypeSpec API Plugin
Create a complete TypeSpec API plugin for Microsoft 365 Copilot that integrates with external REST APIs.
Requirements
Generate TypeSpec files with:
main.tsp - Agent Definition
import "@typespec/http";
import "@typespec/openapi3";
import "@microsoft/typespec-m365-copilot";
import "./actions.tsp";
using TypeSpec.Http;
using TypeSpec.M365.Copilot.Agents;
using TypeSpec.M365.Copilot.Actions;
@agent({
name: "[Agent Name]",
description: "[Description]"
})
@instructions("""
[Instructions for using the API operations]
""")
namespace [AgentName] {
// Reference operations from actions.tsp
op operation1 is [APINamespace].operationName;
}
actions.tsp - API Operations
import "@typespec/http";
import "@microsoft/typespec-m365-copilot";
using TypeSpec.Http;
using TypeSpec.M365.Copilot.Actions;
@service
@actions(#{
nameForHuman: "[API Display Name]",
descriptionForModel: "[Model description]",
descriptionForHuman: "[User description]"
})
@server("[API_BASE_URL]", "[API Name]")
@useAuth([AuthType]) // Optional
namespace [APINamespace] {
@route("[/path]")
@get
@action
op operationName(
@path param1: string,
@query param2?: string
): ResponseModel;
model ResponseModel {
// Response structure
}
}
Authentication Options
Choose based on API requirements:
-
No Authentication (Public APIs)
// No @useAuth decorator needed -
API Key
@useAuth(ApiKeyAuth<ApiKeyLocation.header, "X-API-Key">) -
OAuth2
@useAuth(OAuth2Auth<[{ type: OAuth2FlowType.authorizationCode; authorizationUrl: "https://oauth.example.com/authorize"; tokenUrl: "https://oauth.example.com/token"; refreshUrl: "https://oauth.example.com/token"; scopes: ["read", "write"]; }]>) -
Registered Auth Reference
@useAuth(Auth) @authReferenceId("registration-id-here") model Auth is ApiKeyAuth<ApiKeyLocation.header, "X-API-Key">
Function Capabilities
Confirmation Dialog
@capabilities(#{
confirmation: #{
type: "AdaptiveCard",
title: "Confirm Action",
body: """
Are you sure you want to perform this action?
* **Parameter**: {{ function.parameters.paramName }}
"""
}
})
Adaptive Card Response
@card(#{
dataPath: "$.items",
title: "$.title",
url: "$.link",
file: "cards/card.json"
})
Reasoning & Response Instructions
@reasoning("""
Consider user's context when calling this operation.
Prioritize recent items over older ones.
""")
@responding("""
Present results in a clear table format with columns: ID, Title, Status.
Include a summary count at the end.
""")
Best Practices
- Operation Names: Use clear, action-oriented names (listProjects, createTicket)
- Models: Define TypeScript-like models for requests and responses
- HTTP Methods: Use appropriate verbs (@get, @post, @patch, @delete)
- Paths: Use RESTful path conventions with @route
- Parameters: Use @path, @query, @header, @body appropriately
- Descriptions: Provide clear descriptions for model understanding
- Confirmations: Add for destructive operations (delete, update critical data)
- Cards: Use for rich visual responses with multiple data items
Workflow
Ask the user:
- What is the API base URL and purpose?
- What operations are needed (CRUD operations)?
- What authentication method does the API use?
- Should confirmations be required for any operations?
- Do responses need Adaptive Cards?
Then generate:
- Complete
main.tspwith agent definition - Complete
actions.tspwith API operations and models - Optional
cards/card.jsonif Adaptive Cards are needed
How to use typespec-create-api-plugin on Cursor
AI-first code editor with Composer
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-api-plugin
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches typespec-create-api-plugin from GitHub repository github/awesome-copilot and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate typespec-create-api-plugin. Access the skill through slash commands (e.g., /typespec-create-api-plugin) 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
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★70 reviews- ★★★★★Anika Chen· Dec 8, 2024
Useful defaults in typespec-create-api-plugin — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Advait Jackson· Dec 8, 2024
I recommend typespec-create-api-plugin for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Harper Thomas· Dec 4, 2024
Solid pick for teams standardizing on skills: typespec-create-api-plugin is focused, and the summary matches what you get after install.
- ★★★★★Noah Kim· Dec 4, 2024
typespec-create-api-plugin fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Liam Choi· Nov 27, 2024
typespec-create-api-plugin is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Anaya Khanna· Nov 27, 2024
typespec-create-api-plugin fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Anika Malhotra· Nov 23, 2024
typespec-create-api-plugin has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Noah Rao· Nov 23, 2024
I recommend typespec-create-api-plugin for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Liam Robinson· Oct 18, 2024
typespec-create-api-plugin reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Anaya Tandon· Oct 18, 2024
typespec-create-api-plugin has been reliable in day-to-day use. Documentation quality is above average for community skills.
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