Awesome Copilot: Supercharge Your GitHub Copilot Experience

Summary

Discover `awesome-copilot`, a community-driven repository designed to enhance your GitHub Copilot experience. It offers a rich collection of custom agents, prompts, instructions, and skills to boost productivity and ensure best practices. Leverage this toolkit to tailor Copilot to your specific coding needs across various domains and languages.

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Introduction

The awesome-copilot repository, maintained by GitHub, is a comprehensive, community-contributed collection designed to significantly enhance your GitHub Copilot experience. It provides a rich toolkit of specialized agents, focused prompts, detailed instructions, powerful skills, and curated collections to supercharge your coding workflows across various domains and languages. With over 17,000 stars, it's a testament to its value in the developer community.

Installation

To leverage the full power of awesome-copilot, you'll need to set up the MCP Server, which allows for seamless integration of these customizations into your editor. Docker is required to run the server.

Run the MCP Server with Docker:

docker run -i --rm ghcr.io/microsoft/mcp-dotnet-samples/awesome-copilot:latest

Install in your editor:

For VS Code: Install in VS Code
For VS Code Insiders: Install in VS Code Insiders
For Visual Studio: Install in Visual Studio

Alternatively, you can manually configure your editor with the following JSON:

{
  "servers": {
    "awesome-copilot": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/microsoft/mcp-dotnet-samples/awesome-copilot:latest"
      ]
    }
  }
}

Examples

Using the customizations from awesome-copilot is straightforward:

Custom Agents: Activate specialized agents in Copilot coding agent (CCA), VS Code, or Copilot CLI (coming soon). In VS Code, find them in the agents session alongside built-in agents.
Prompts: Access task-specific prompts directly within GitHub Copilot Chat using the / command. For instance, to create a README, you might use:
```
/awesome-copilot create-readme
```
Instructions: These automatically apply to files based on their patterns, providing contextual guidance for coding standards, frameworks, and best practices without explicit commands.

Why Use Awesome GitHub Copilot?

Integrating awesome-copilot into your workflow offers several significant advantages:

Productivity: Utilize pre-built agents, prompts, and instructions to save time and achieve consistent, high-quality results.
Best Practices: Benefit from a community-curated collection of coding standards and patterns, ensuring your code adheres to industry best practices.
Specialized Assistance: Gain access to expert-level guidance through specialized custom agents tailored for specific workflows and tools.
Continuous Learning: Stay updated with the latest patterns and practices across various technologies, fostering continuous professional development.