typespec-api-operations

github/awesome-copilot · updated Apr 8, 2026

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

RESTful CRUD operations for TypeSpec API plugins with routing, parameters, and adaptive cards.

  • Supports GET, POST, PATCH, and DELETE operations with path, query, and body parameters for filtering, creation, and updates
  • Includes adaptive card visualization for GET responses and confirmation dialogs for destructive operations (POST, PATCH, DELETE)
  • Provides complete CRUD example with models, error handling, and multiple query parameter patterns
  • Built-in testing prompts and best pract
skill.md

Add TypeSpec API Operations

Add RESTful operations to an existing TypeSpec API plugin for Microsoft 365 Copilot.

Adding GET Operations

Simple GET - List All Items

/**
 * List all items.
 */
@route("/items")
@get op listItems(): Item[];

GET with Query Parameter - Filter Results

/**
 * List items filtered by criteria.
 * @param userId Optional user ID to filter items
 */
@route("/items")
@get op listItems(@query userId?: integer): Item[];

GET with Path Parameter - Get Single Item

/**
 * Get a specific item by ID.
 * @param id The ID of the item to retrieve
 */
@route("/items/{id}")
@get op getItem(@path id: integer): Item;

GET with Adaptive Card

/**
 * List items with adaptive card visualization.
 */
@route("/items")
@card(#{
  dataPath: "$",
  title: "$.title",
  file: "item-card.json"
})
@get op listItems(): Item[];

Create the Adaptive Card (appPackage/item-card.json):

{
  "type": "AdaptiveCard",
  "$schema": "http://adaptivecards.io/schemas/adaptive-card.json",
  "version": "1.5",
  "body": [
    {
      "type": "Container",
      "$data": "${$root}",
      "items": [
        {
          "type": "TextBlock",
          "text": "**${if(title, title, 'N/A')}**",
          "wrap": true
        },
        {
          "type": "TextBlock",
          "text": "${if(description, description, 'N/A')}",
          "wrap": true
        }
      ]
    }
  ],
  "actions": [
    {
      "type": "Action.OpenUrl",
      "title": "View Details",
      "url": "https://example.com/items/${id}"
    }
  ]
}

Adding POST Operations

Simple POST - Create Item

/**
 * Create a new item.
 * @param item The item to create
 */
@route("/items")
@post op createItem(@body item: CreateItemRequest): Item;

model CreateItemRequest {
  title: string;
  description?: string;
  userId: integer;
}

POST with Confirmation

/**
 * Create a new item with confirmation.
 */
@route("/items")
@post
@capabilities(#{
  confirmation: #{
    type: "AdaptiveCard",
    title: "Create Item",
    body: """
    Are you sure you want to create this item?
      * **Title**: {{ function.parameters.item.title }}
      * **User ID**: {{ function.parameters.item.userId }}
    """
  }
})
op createItem(@body item: CreateItemRequest): Item;

Adding PATCH Operations

Simple PATCH - Update Item

/**
 * Update an existing item.
 * @param id The ID of the item to update
 * @param item The updated item data
 */
@route("/items/{id}")
@patch op updateItem(
  @path id: integer,
  @body item: UpdateItemRequest
): Item;

model UpdateItemRequest {
  title?: string;
  description?: string;
  status?: "active" | "completed" | "archived";
}

PATCH with Confirmation

/**
 * Update an item with confirmation.
 */
@route("/items/{id}")
@patch
@capabilities(#{
  confirmation: #{
    type: "AdaptiveCard",
    title: "Update Item",
    body: """
    Updating item #{{ function.parameters.id }}:
      * **Title**: {{ function.parameters.item.title }}
      * **Status**: {{ function.parameters.item.status }}
    """
  }
})
op updateItem(
  @path id: integer,
  @body item: UpdateItemRequest
): Item;

Adding DELETE Operations

Simple DELETE

/**
 * Delete an item.
 * @param id The ID of the item to delete
 */
@route("/items/{id}")
@delete op deleteItem(@path id: integer): void;

DELETE with Confirmation

/**
 * Delete an item with confirmation.
 */
how to use typespec-api-operations

How to use typespec-api-operations 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-api-operations
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-api-operations

The skills CLI fetches typespec-api-operations 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-api-operations

Reload or restart Cursor to activate typespec-api-operations. Access the skill through slash commands (e.g., /typespec-api-operations) 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.

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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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

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

Ratings

4.831 reviews
  • Chaitanya Patil· Dec 8, 2024

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

  • Harper Khanna· Dec 8, 2024

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

  • Kiara Malhotra· Dec 4, 2024

    Registry listing for typespec-api-operations matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Piyush G· Nov 27, 2024

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

  • Mateo Thompson· Nov 27, 2024

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

  • Chen Brown· Nov 23, 2024

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

  • Chen Gupta· Nov 7, 2024

    I recommend typespec-api-operations for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Xiao Agarwal· Oct 26, 2024

    typespec-api-operations reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Shikha Mishra· Oct 18, 2024

    We added typespec-api-operations from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Zaid Shah· Oct 18, 2024

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

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